Indoor abnormality detection method, system therefor and program

Abstract

To provide an indoor abnormality detection method that can remotely determine the physical condition of a resident or the like while protecting the privacy of the resident.SOLUTION: An indoor abnormality detection method causes a computer to execute: a first step of receiving a carbon dioxide concentration detected by a concentration sensor in a room; a second step of detecting a change in the carbon dioxide concentration in the room received in the first step; and a third step of determining a condition of a person in the room on the basis of the change in the concentration detected in the second step. The third step determines whether or not the condition of the person is abnormal on the basis of the change in the concentration in a prescribed period.SELECTED DRAWING: Figure 6

Description

[Technical Field]

[0001] The present invention relates to a method for detecting an abnormality in an indoor space, a system therefor, and a program therefor. [Background technology]

[0002] There is a system in place that installs cameras in the living spaces of elderly people to check whether they are alive or not. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-131832 Summary of the Invention [Problem to be solved by the invention]

[0004] However, as mentioned above, the use of cameras raises concerns about the infringement of residents' privacy. Residents have the right to live independently, and constant surveillance could violate that right. Additionally, if the camera breaks down or is hacked, there is a risk that personal information and information about your daily life will be leaked to third parties. Furthermore, since the space should be one in which elderly people can move around freely, installing cameras may restrict the residents' movements. Given these circumstances, there is a need for a method to ensure the safety of the elderly while protecting their individual privacy and dignity.

[0005] The present invention has been made in consideration of the above circumstances, and its purpose is to provide an indoor abnormality detection method, system, and program that can remotely determine the physical condition of occupants while protecting the privacy of the occupants, etc. [Means for solving the problem]

[0006] The present invention is an indoor abnormality detection method in which a computer executes the following steps: a first step of receiving the carbon dioxide concentration detected by a concentration sensor in the room; a second step of detecting a change in the carbon dioxide concentration in the room received in the first step; and a third step of determining the status of people in the room based on the change in concentration detected in the second step.

[0007] Preferably, the third step determines whether the person's condition is abnormal based on the change in concentration over a predetermined period of time.

[0008] Preferably, the third step identifies the behavioral pattern of the resident in the room based on the concentration change over the specified period, and determines that an abnormality has occurred in the person if the carbon dioxide concentration changes from a survival concentration to a non-survival concentration during a time period when the person is estimated to be in the room based on the previously identified behavioral pattern. Preferably, during the time period when the person is estimated to be in the room, it is determined whether or not a specified ventilation was performed based on the change in concentration over the specified period, and if it is determined that the specified ventilation was not performed and the carbon dioxide concentration changes from a survival concentration to a non-survival concentration, it is determined that an abnormality has occurred in the person. Preferably, it is determined that a specified ventilation has been performed, and if the detected carbon dioxide concentration does not fluctuate within a specified range after the detected carbon dioxide concentration has fallen to a certain standard, it is determined that an abnormality has occurred in the person.

[0009] Preferably, the third step includes identifying in advance a behavioral pattern according to movement of the person in the plurality of rooms based on the change in concentration of the carbon dioxide detected by the plurality of concentration sensors installed in the plurality of rooms in the same residential space or company and the timing of the change in concentration; Based on the identified behavioral pattern and the change in carbon dioxide concentration detected by the plurality of concentration sensors, it is determined whether or not an abnormality has occurred in the person.

[0010] Preferably, the third step determines whether there is one person or multiple people in the room based on the behavior pattern and the carbon dioxide concentration detected by the concentration sensor, and determines that the abnormality has occurred if there is only one person in the room.

[0011] Preferably, a fourth step receives the carbon monoxide concentration detected by the concentration sensor in the room, and determines whether a fire has occurred in the room based on the carbon monoxide concentration received in the first step.

[0012] The present invention is a program that causes a computer to execute the following steps: a first step of receiving the carbon dioxide concentration detected by a concentration sensor in a room; a second step of detecting a change in the carbon dioxide concentration in the room received in the first step; and a third step of determining the status of people in the room based on the change in concentration detected in the second step.

[0013] Preferably, the third step identifies the behavioral pattern of the resident in the room based on the concentration change over the specified period, and determines that an abnormality has occurred in the person if the carbon dioxide concentration changes from a survival concentration to a non-survival concentration during a time period when the person is estimated to be in the room based on the previously identified behavioral pattern.

[0014] The present invention provides a first means for receiving a carbon dioxide concentration detected by a concentration sensor in a room; a second means for detecting a change in the indoor carbon dioxide concentration received by the first means; a third means for determining the state of a person in the room based on the change in concentration detected by the second means; The indoor anomaly detection system has the following features. [Effects of the Invention]

[0015] According to the present invention, it is possible to provide an indoor abnormality detection method, system and program that can remotely determine the physical condition of a resident while protecting the privacy of the resident or the like. [Brief explanation of the drawings]

[0016] [Figure 1] FIG. 1 is a system configuration diagram for explaining indoor abnormality detection according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram illustrating a concentration sensor 13 placed in a room 12 of a house to be monitored. [Figure 3] FIG. 3 is a functional block diagram of the indoor abnormality detection device 11 shown in FIG. [Figure 4] Figure 4 is a graph showing the difference in carbon dioxide levels when people are active. [Figure 5] Figure 5 is a graph showing the difference in carbon dioxide levels when people are active. [Figure 6] FIG. 6 is a flowchart illustrating an example of the operation of the indoor abnormality detection device 11 according to the embodiment of the present invention. [Figure 7] FIG. 7 is a flowchart illustrating an example of the operation of a modified example of the indoor abnormality detection device 11 according to the embodiment of the present invention. [Figure 8] FIG. 8 is a diagram for explaining the change in carbon dioxide in a room when ventilation is performed by opening a window. [Figure 9] FIG. 9 is a diagram for explaining the change in carbon dioxide in a room during sleep without opening a window for ventilation. DETAILED DESCRIPTION OF THE INVENTION

[0017] Hereinafter, an indoor abnormality detection method according to an embodiment of the present invention will be described. FIG. 1 is a system configuration diagram for explaining indoor abnormality detection according to an embodiment of the present invention. As shown in FIG. 1, in this embodiment, concentration sensors 13 (13_1 to 13_4, etc.) are arranged in rooms 12 (12_1 to 12_4, etc.) of a residential space or a business. The indoor abnormality detection device 11 receives the carbon dioxide concentration detected by the concentration sensor 13, performs a determination process described below, and transmits a message to the person involved terminal device 21 as necessary.

[0018] FIG. 2 is a diagram illustrating a concentration sensor 13 placed in a room 12 of a house to be monitored. The concentration sensor 13 is installed in a predetermined room 12 among a plurality of rooms 12 in a house or the like.

[0019] FIG. 3 is a functional block diagram of the indoor abnormality detection device 11 shown in FIG. As shown in FIG. 2, the indoor abnormality detection device 11 includes, for example, an operation unit 53, a communication unit 55, a memory 59, and a processing unit 61.

[0020] The operation unit 53 is an operation means such as a touch panel, a keyboard, or a mouse. The communication unit 55 communicates with the concentration sensor 13 and the related person terminal device 21. The input unit 57 is a terminal or the like for inputting data from the outside. The memory 59 stores the program executed by the processing unit 61 . The processing unit 61 executes the program PRG stored in the memory 59 to perform the processing of the indoor abnormality detection device 11 defined in this embodiment.

[0021] The indoor abnormality detection device 11 receives carbon dioxide concentration data indicating the carbon dioxide concentration detected by the concentration sensor 13 from the concentration sensor 13 in the living space. The indoor abnormality detection device 11 detects the amount of change per unit time in the carbon dioxide concentration indicated by the received carbon dioxide concentration data. For example, the indoor abnormality detection device 11 detects the amount of change as shown in Figs. 4 and 5.

[0022] The indoor abnormality detection device 11 determines the condition of the person in the living space based on the detected amount of change. Specifically, it determines whether the condition of the person in the living space is abnormal. The amount of change may be expressed as a percentage change. By using the amount of change in this way, it is possible to identify changes in the condition of the resident with high accuracy.

[0023] The indoor abnormality detection device 11 identifies the behavior patterns of the occupants in the living space based on changes in the carbon dioxide concentration over a predetermined period of time. Specifically, based on the amount and timing of change in carbon dioxide concentration detected by the concentration sensors 13_1 to 13_4, the time periods when occupants (people) are present in the rooms 12_1 to 12_4, the time periods when they are not present, the movement patterns between rooms, etc. are identified. This identifies the time periods when occupants are estimated to be in the living space. The longer the period for acquiring the carbon dioxide concentration and the amount of change in concentration, the more data is accumulated and the higher the reliability of the movement pattern can be.

[0024] The indoor abnormality detection device 11 determines that an abnormality has occurred in the resident when the carbon dioxide concentration changes from a survival concentration to a non-survival concentration in any of the rooms 12_1 to 12_4 during the time period when the resident is in the living space. Here, the survival concentration is a concentration that is determined based on the results of detecting the carbon dioxide concentration in advance for a predetermined period of time in the rooms 12_1 to 12_4 when a person is alive. The non-survival concentration is a concentration determined based on the results of detecting the carbon dioxide concentration in the rooms 12_1 to 12_4 for a predetermined period of time when no one is present.

[0025] Based on the behavioral patterns and carbon dioxide concentrations identified above, the indoor abnormality detection device 11 determines whether there is one or multiple people in the residential area, and determines that an abnormality has occurred if there is only one person in the residential space.

[0026] 4 and 5 show the difference in carbon dioxide (changes only) when people are active. When the line on the graph moves vigorously, it means that people are active. This condition can also be determined by measuring carbon dioxide concentration. Based on the carbon dioxide concentration and its changes, the behavior of residents and the indoor air environment can be understood.

[0027] Furthermore, the indoor abnormality detection device 11 may receive the carbon monoxide concentration detected by a concentration sensor in the room, and determine whether a fire has occurred in the room based on the carbon monoxide concentration. It also functions as a safety feature against carbon monoxide poisoning caused by forgetting to turn off the stove or by using a stove in cold regions.Of course, if a fire breaks out, significant changes in CO, CO2, and temperature will occur immediately.

[0028] FIG. 6 is a flowchart illustrating an example of the operation of the indoor abnormality detection device 11 according to the embodiment of the present invention. Each step will be explained.

[0029] Step ST11: The indoor abnormality detection device 11 receives carbon dioxide concentration data indicating the carbon dioxide concentrations detected by the concentration sensors 13_1 to 13_4 from the concentration sensors 13_1 to 13_4 in the living space.

[0030] Step ST12: The indoor abnormality detection device 11 detects the amount of change per unit time in the carbon dioxide concentration indicated by the carbon dioxide concentration data received in step ST11. The indoor abnormality detection device 11 determines whether or not there is a person in the living space based on the carbon dioxide concentration or the amount of change therein. The determination may be made for each of the rooms 12_1 to 12_4. If the indoor abnormality detection device 11 determines that a person is present, the process proceeds to step ST13. Furthermore, the indoor abnormality detection device 11 may determine whether or not a person is present in the living space based on the past carbon dioxide concentrations or the amount of change thereof detected by the concentration sensors 13_1 to 13_4 in the living space having the rooms 12_1 to 12_4. For example, the indoor abnormality detection device 11 identifies the time period when the resident is in the living space (identifies the behavioral pattern) based on the past carbon dioxide concentration or its change. The time period is identified in advance as the time period when the resident is in the living space or a specific room 12_1 to 12_4 with a predetermined probability (such as 90%). Then, based on the carbon dioxide concentrations or variations thereof detected by the concentration sensors 13_1 to 13_4 and the time period when the specified resident is present in the living space, it is determined whether or not a person (resident) is present in the living space. The indoor abnormality detection device 11 determines that a person is present in the living space when the time is a time when a resident is present in the living space and the carbon dioxide concentration or its change exceeds a certain value.

[0031] Step ST13: When the indoor abnormality detection device 11 detects that the carbon dioxide concentration has changed from a predetermined concentration for human survival to a non-survival concentration based on the concentration or change in the carbon dioxide concentration in the rooms 12_1 to 12_4, the process proceeds to step ST14. At this time, whenever an abnormal situation occurs to a person, the determination is made based on whether the carbon dioxide concentration in the room has changed by a predetermined amount over time.

[0032] Step ST14: The indoor abnormality detection device 11 notifies the related person terminal device 21 of the related person of the resident that an abnormality has occurred in the resident.

[0033] FIG. 7 is a flowchart illustrating an example of the operation of a modified example of the indoor abnormality detection device 11 according to the embodiment of the present invention. In FIG. 7, steps with the same reference numerals as in FIG. 6 are the same as the steps described above.

[0034] Step ST21: When the indoor abnormality detection device 11 detects in step ST13 that the indoor carbon dioxide concentration has changed (decreased) from a predetermined concentration that allows a person to survive to a non-survival concentration, it then determines whether or not a predetermined ventilation has been performed. In other words, it is confirmed whether the decrease in indoor carbon dioxide is due to ventilation such as opening a window or running a ventilation fan. At this time, if the detected carbon dioxide concentration in the room drops more rapidly than a certain standard in a short period of time, the indoor abnormality detection device 11 determines that ventilation has been performed.

[0035] Step ST22: If the indoor abnormality detection device 11 determines in step ST21 that ventilation is not being performed, the process proceeds to step ST15. Furthermore, if the indoor abnormality detection device 11 determines in step ST21 that ventilation has been performed, it determines whether or not the carbon dioxide is fluctuating within a predetermined range after the carbon dioxide concentration has decreased due to ventilation, based on the carbon dioxide concentration or its change in the indoors 12_1 to 12_4, and if it detects that the carbon dioxide has changed from a fluctuating state to a non-fluctuating state, it proceeds to step ST15. Even if the room is ventilated, if there is someone alive in the room, the carbon dioxide concentration in the room will fluctuate within a certain range. By detecting this with the indoor abnormality detection device 11, it is possible to determine whether or not there is someone alive in the room even if ventilation has been performed. The above fluctuations are determined based on the amount of change (or the time lapse) when someone is in the room while ventilation is in progress. FIG. 8 is a diagram for explaining the change in carbon dioxide in a room when ventilation is performed by opening a window. FIG. 9 is a diagram for explaining the change in carbon dioxide in a room during sleep without opening a window for ventilation. The indoor abnormality detection device 11 may identify the ventilation state based on detection information from open / close sensors of the windows and entrances of the rooms 12_1 to 12_4 and on / off information of the ventilation device.

[0036] As described above, according to the indoor abnormality detection device 11, it is possible to determine the condition of the occupants in the room 12 by installing a concentration sensor 13 without installing a camera in the room 12 and using the carbon dioxide concentration detected by the concentration sensor 13. Therefore, the privacy of the residents can be protected.

[0037] The temperature and humidity of the room 12 are also affected by whether or not there is a person in the room 12. It is also possible to determine whether or not the occupant has intentionally turned on the air conditioning, which serves as vital monitoring. In addition, as the number of people increases, humidity also increases, and there are also changes due to seasonal factors, and by detecting these, the condition of the room 12 can be understood. The indoor abnormality detection device 11 can ultimately utilize the above information comprehensively, convert it into individual data, detect whether people are at home or not, and read their behavioral patterns.

[0038] For example, the behavioral patterns of an elderly person living alone in an apartment are the bedroom, living room, or going out (excluding the toilet and bathroom). By installing the concentration sensor 13 in the living room and bedroom, it is possible to check the safety and lifestyle patterns of the elderly person without the camera observing their private life.

[0039] The present invention is not limited to the above-described embodiments. That is, those skilled in the art may make various modifications, combinations, subcombinations, and substitutions of the components of the above-described embodiments within the technical scope of the present invention or its equivalents.

[0040] In the above-described embodiment, a residential space is exemplified, but the present invention may also be applied to other spaces such as a workplace in a company, a hospital ward, or a facility. [Industrial Applicability]

[0041] The present invention is applicable to an indoor anomaly detection system. [Explanation of symbols]

[0042] 11...Specification verification system 12…Indoor 13...Carbon dioxide concentration sensor 21...Stakeholder terminal device

Claims

1. a first step of receiving a carbon dioxide concentration detected by a concentration sensor in a room; a second step of detecting a change in the indoor carbon dioxide concentration received in the first step; a third step of determining the state of a person in the room based on the change in concentration detected in the second step; The computer performs an indoor anomaly detection method.

2. The third step is to determine whether the condition of the person is abnormal based on the change in concentration over a predetermined period of time. The indoor abnormality detection method according to claim 1 .

3. The third step includes: Identifying the behavior pattern of the person in the room based on the change in concentration over the predetermined period; If the carbon dioxide concentration changes from a survival concentration to a non-survival concentration during a time period when the person is estimated to be in the room based on the past behavioral patterns identified in advance, it is determined that an abnormality has occurred in the person. The indoor abnormality detection method according to claim 2.

4. The third step includes: During the time period when the person is estimated to be in the room, it is determined whether or not a predetermined ventilation has been performed based on the concentration change over the predetermined period, and if it is determined that the predetermined ventilation has not been performed and the carbon dioxide concentration has changed from a survival concentration to a non-survival concentration, it is determined that an abnormality has occurred in the person. The indoor abnormality detection method according to claim 3.

5. The third step includes: When it is determined that the predetermined ventilation has been performed, it is determined that an abnormality has occurred in the person on the condition that the detected carbon dioxide concentration does not fluctuate within a predetermined range after the detected carbon dioxide concentration has fallen to a certain standard. The indoor abnormality detection method according to claim 4.

6. The third step includes: identifying in advance a behavioral pattern according to movement of the person in the plurality of rooms based on the concentration change of the carbon dioxide concentration detected by the plurality of concentration sensors respectively installed in the plurality of rooms in the same living space or company and the timing of the concentration change; Based on the identified behavioral pattern and the change in carbon dioxide concentration detected by the plurality of concentration sensors, it is determined whether or not an abnormality has occurred in the person. The indoor abnormality detection method according to claim 5.

7. The third step includes: Based on the behavioral pattern and the carbon dioxide concentration detected by the concentration sensor, it is determined whether there is one person or multiple people in the room, and if there is only one person in the room, it is determined that the abnormality has occurred. The indoor abnormality detection method according to claim 6.

8. a fourth step of receiving the carbon monoxide concentration detected by the indoor concentration sensor; Based on the carbon monoxide concentration received in the first step, it is determined whether a fire has occurred in the room. The indoor abnormality detection method according to claim 7.

9. a first step of receiving a carbon dioxide concentration detected by a concentration sensor in a room; a second step of detecting a change in the indoor carbon dioxide concentration received in the first step; a third step of determining the state of a person in the room based on the change in concentration detected in the second step; A program that causes a computer to execute the following.

10. The third step includes: Identifying the behavior pattern of the person in the room based on the change in concentration over the predetermined period; If the carbon dioxide concentration changes from a survival concentration to a non-survival concentration during a time period when the person is estimated to be in the room based on the behavioral pattern identified in advance, it is determined that an abnormality has occurred in the person. The program according to claim 9.

11. a first means for receiving a carbon dioxide concentration detected by a concentration sensor in the room; a second means for detecting a change in the indoor carbon dioxide concentration received by the first means; a third means for determining the state of a person in the room based on the change in concentration detected by the second means; An indoor anomaly detection system having:

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