Indoor abnormality detection method, system thereof and program

Abstract

To provide an indoor abnormality detection method capable of remotely determining physical conditions of residents while protecting privacy of the residents, etc.SOLUTION: An indoor abnormality detection method includes: a first step of receiving a carbon dioxide concentration detected by an indoor concentration sensor; a second step of detecting a change in the indoor carbon dioxide concentration received in the first step; a third step of receiving detection results of motion sensors disposed at prescribed positions in the room; and a fourth 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 and the detection results of the sensors received in the third step.SELECTED DRAWING: Figure 7

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 a 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; a third step of receiving sensor detection results from a human presence sensor placed at a predetermined location in the room; and a fourth step of determining the status of people in the room based on the change in concentration detected in the second step and the sensor detection results received in the third step.

[0007] Preferably, the fourth step determines that an abnormality has occurred with the person when the first condition is met that the sensor detection result does not detect a person in the room for a certain period of time after the detected carbon dioxide concentration has fallen to a certain standard.

[0008] Preferably, the computer executes a fifth step of generating behavioral pattern information indicating people entering and exiting the room and their movement patterns within the room based on the concentration change over a predetermined period of time and the sensor detection results over a predetermined period of time, and the fourth step determines that an abnormality has occurred in the person when the first condition is met and the second condition is met that the person is at home during an estimated time period when it is estimated that a person is in the room based on the behavioral pattern information.

[0009] Preferably, the fourth step determines that the first condition is met when the detected carbon dioxide concentration continues to drop to a certain standard for a predetermined period of time and the sensor detection result does not detect any people in the room for a certain period of time.

[0010] Preferably, the fifth step generates the behavior pattern information based on the concentration change, the timing of the concentration change, a sensor detection result, and the timing of the change in the sensor detection result.

[0011] Preferably, the fifth step generates the behavioral pattern information based on the change in concentration of the carbon dioxide detected by a plurality of concentration sensors installed in a plurality of rooms in the same living space or company, and the timing of the change in concentration, and the change in the detection results of the sensor detection results detected by a plurality of human presence sensors installed in a plurality of rooms in the same living space or company, and the timing of the change in detection results.

[0012] Preferably, the fourth step determines whether there is one person or multiple people in the room based on the behavior pattern, the carbon dioxide concentration detected by the concentration sensor, and the behavior pattern information, and determines that the abnormality has occurred if there is only one person in the room.

[0013] Preferably, a sixth step includes receiving a carbon monoxide concentration detected by a concentration sensor in the room, and determining whether a fire has occurred in the room based on the carbon monoxide concentration received in the sixth step.

[0014] The present invention is an indoor abnormality detection system having 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 carbon dioxide concentration in the room received by the first means, a third means for receiving sensor detection results from a human presence sensor placed at a predetermined location in the room, and a fourth means for determining the status of people in the room based on the change in concentration detected by the second means and the sensor detection results received by the third means.

[0015] The present invention is a program that causes a computer to execute the following steps: 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; a third step of receiving sensor detection results from a human presence sensor placed at a predetermined location in the room; and a fourth step of determining the status of people in the room based on the change in concentration detected in the second step and the sensor detection results received in the third step. [Effects of the Invention]

[0016] 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]

[0017] [Figure 1] FIG. 1 is a system configuration diagram for explaining indoor abnormality detection according to the first embodiment of the present invention. [Figure 2] FIG. 2 is a diagram illustrating a concentration sensor 13 and a human presence sensor 15 arranged 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 graph showing the time course of the indoor carbon dioxide concentration and the sensor detection results. [Figure 7] FIG. 7 is a flowchart illustrating an example of the operation of the indoor abnormality detection device 11 according to the first embodiment of the present invention. [Figure 8] FIG. 8 is a flowchart illustrating the generation of behavior pattern data according to the second embodiment of the present invention. [Figure 9] FIG. 9 is a flowchart illustrating an example of the operation of the indoor abnormality detection device 11 according to the second embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] 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. In the room 12, human sensors 15 (15_1 to 15_3, etc.) are arranged. The human presence sensor 15 has, for example, a detection angle of 110 degrees and a detection distance of approximately 5 m. The human presence sensor 15 is placed on the path of movement of people in the room.

[0019] The indoor abnormality detection device 11 receives the carbon dioxide concentration detected by the concentration sensor 13, receives the sensor detection results from the human presence sensor 15, determines the abnormal condition of people in the room (described later), and sends a message to the relevant person terminal device 21 if necessary.

[0020] 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 and the human presence sensor 15 are installed in a predetermined room 12 among a plurality of rooms 12 in a house or the like.

[0021] 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.

[0022] 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.

[0023] 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. The amount of change may be expressed as a percentage of change. By using the amount of change in this way, changes in the resident's condition can be identified with high accuracy.

[0024] The indoor abnormality detection device 11 receives a human presence detection result detected by the human presence sensor 15 from the human presence sensor 15 in the living space. FIG. 6 is a diagram for explaining a waveform of a human detection result.

[0025] The indoor abnormality detection device 11 determines whether or not a person is present in the living space based on the detected amount of change and the human presence detection result.

[0026] The indoor abnormality detection device 11 determines whether or not a first condition is satisfied in which the sensor detection results of the human sensors 15_1 to 15_3 do not detect a person for a certain period of time after the carbon dioxide concentration of any of the concentration sensors 13_1 to 13_4 in any of the rooms 12_1 to 12_4 changes from a survival concentration to a non-survival concentration. When the first condition is satisfied, the indoor abnormality detection device 11 determines that an abnormality has occurred with a person in the room. 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.

[0027] 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.

[0028] 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.

[0029] In Figure 6, (A) shows the carbon dioxide concentration, and (B) shows the time transition of the sensor detection results. The horizontal axis shows time, and the vertical axis shows the level. As shown in FIG. 6(B), when a person is present within the detection range of the human presence sensor 15, the sensor detection result fluctuates greatly.

[0030] FIG. 7 is a flowchart illustrating an example of the operation of the indoor abnormality detection device 11 according to the first embodiment of the present invention. Each step will be explained.

[0031] 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 in the living space from the concentration sensors 13_1 to 13_4 and stores the data in the memory 59.

[0032] Step ST12: The indoor abnormality detection device 11 detects the amount of change per unit time of the carbon dioxide concentration data received in step ST11, and stores the amount of change in the memory 59. For example, the indoor abnormality detection device 11 detects the amount of change as shown in FIGS. 4 and 5.

[0033] Step ST13: The indoor abnormality detection device 11 receives the sensor detection result detected by the human presence sensor 15 from the human presence sensor 15 in the living space.

[0034] Step ST14: The indoor abnormality detection device 11 determines whether or not a person is present in the living space based on at least one of the carbon dioxide concentration or its change amount and the sensor detection result. The determination may be performed 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 ST15.

[0035] Step ST15: The indoor abnormality detection device 11 determines whether a first condition, which means that an abnormality has occurred with respect to people in the room, is met based on the concentration or change in carbon dioxide concentration received from the concentration sensors 13_1 to 13_4 and the sensor detection results received from the human presence sensors 15_1 to 15_3. Specifically, the indoor abnormality detection device 11 determines that the first condition is met if the sensor detection result does not detect any person in the room for a certain period of time after the detected carbon dioxide concentration has fallen to a certain standard. The above "detected carbon dioxide concentration has fallen to a certain standard" is determined based on the fact that the carbon dioxide concentration has changed from a predetermined survival concentration to a non-survival concentration within a certain period of time.

[0036] At this time, when an abnormal situation occurs to a person, the determination is made based on how the carbon dioxide concentration in the room changes and whether it has changed by a predetermined amount over time. The indoor abnormality detection device 11 may determine that the first condition is met if the detected carbon dioxide concentration continues to fall below a certain standard for a predetermined time and the sensor detection result does not detect a person in the room for a certain time. The predetermined time and the certain time are determined in advance based on past actual measured values. They may also be updated for a certain period of time based on the actual measured values.

[0037] Step ST16: 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.

[0038] As described above, according to the indoor abnormality detection device 11, a concentration sensor 13 and a human presence sensor 15 are installed in the room 12 without installing a camera, and the condition of the occupants in the room 12 can be determined using the carbon dioxide concentration detected by the concentration sensor 13 and the sensor detection results detected by the human presence sensor 15. Therefore, the privacy of the residents can be protected.

[0039] Second Embodiment

[0040] In this embodiment, in addition to the first condition in the first embodiment described above, if the second condition is met, that is, it is an estimated time period during which people are estimated to be at home and therefore present in the room based on the residents' behavioral pattern information, it is determined that an abnormality has occurred. This improves the accuracy of the determination.

[0041] FIG. 8 is a flowchart for explaining the generation of behavior pattern data. Each step will be explained. Step ST21: Indoor abnormality detecting device 11 reads out the amount of change in carbon dioxide for a certain period (for example, one week to one month) stored in memory 59 in step ST12 shown in FIG.

[0042] Step ST22: The indoor abnormality detection device 11 reads out the sensor detection results for the above-mentioned fixed period stored in the memory 59 in step ST13.

[0043] Step ST23: The communication terminal device 11 generates behavior pattern information of the resident based on the concentration change read out in steps ST21 and ST22, the timing of the concentration change, the sensor detection result, and the timing of the change in the sensor detection result. When the concentration sensors 13 and the human presence sensors 15 are installed in multiple rooms, a pattern is identified for each room, and overall behavior pattern information is generated based on the identified patterns. The behavior pattern information identifies the time periods when the resident (person) is in the rooms 12_1 to 12_4, the time periods when the resident is not in the rooms, the movement patterns between the rooms, etc. This identifies the estimated time periods when the resident is estimated to be at home in the living space. The estimated time periods when the resident is estimated to be at home are, for example, the time periods when the resident is in the living space or the specific rooms 12_1 to 12_4 with a predetermined probability (90%, etc.).

[0044] FIG. 9 is a flowchart illustrating an example of the operation of the indoor abnormality detection device 11 according to the second embodiment of the present invention. Each step will be explained.

[0045] Steps ST11, ST12, ST15, and ST16 are the same as the steps in the first embodiment described with reference to FIG.

[0046] Step ST33 will now be described. Step ST33 is performed as follows. If the second condition that the estimated time period is one in which someone is estimated to be at home based on the behavior pattern information generated in step ST23 described above is satisfied, the indoor abnormality detection device 11 proceeds to step ST15.

[0047] According to the second embodiment, resident behavior pattern information is generated in advance and is further used to notify an abnormality occurrence message, so that notification can be made based on a more accurate situation assessment.

[0048] 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.

[0049] In addition to the functions of the first and second embodiments described above, if the carbon dioxide concentration indicates that there is someone in the room, but the sensor detection results do not detect a person during the time period when the person should have started to behave based on the behavioral pattern information, a low-level warning may be sent to relevant parties.

[0050] 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.

[0051] 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 life 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.

[0052] 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.

[0053] 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. In the event of a fire, significant changes in CO, CO2, and temperature occur immediately. [Industrial Applicability]

[0054] The present invention is applicable to an indoor anomaly detection system. [Explanation of symbols]

[0055] 11...Specification verification system 12…Indoor 13...Carbon dioxide concentration sensor 15...Human 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 receiving a sensor detection result from a human presence sensor disposed at a predetermined location in the room; a fourth step of determining the state of a person in the room based on the concentration change detected in the second step and the sensor detection result received in the third step; The computer performs an indoor anomaly detection method.

2. The fourth step is to determine that an abnormality has occurred in the person when a first condition is satisfied that the sensor detection result does not detect a person in the room for a certain period of time after the detected carbon dioxide concentration has fallen to a certain standard. The indoor abnormality detection method according to claim 1 .

3. a fifth step of generating behavior pattern information indicating people entering and exiting the room and movement patterns within the room based on the concentration change over a predetermined period of time and the sensor detection results over a predetermined period of time. The computer executes The fourth step is to determine that an abnormality has occurred in the person when the first condition is satisfied and a second condition is satisfied that the time is an estimated time period during which a person is estimated to be at home based on the behavior pattern information. The indoor abnormality detection method according to claim 2.

4. The fourth step is to determine that the first condition is satisfied when the detected carbon dioxide concentration continues to fall to a certain standard for a predetermined time and the sensor detection result does not detect a person in the room for a certain time. The indoor abnormality detection method according to claim 3.

5. The fifth step generates the behavior pattern information based on the concentration change, the timing of the concentration change, the sensor detection result, and the timing of the change in the sensor detection result. The indoor abnormality detection method according to claim 4.

6. The fifth step includes: The change in concentration of the carbon dioxide detected by a plurality of concentration sensors installed in a plurality of rooms in the same residential space or company, and the timing of the change in concentration; A change in the detection results detected by the plurality of human presence sensors installed in a plurality of rooms in the same residential space or company, and the timing of the change in the detection results; The behavioral pattern information is generated based on the The indoor abnormality detection method according to claim 5.

7. The fourth step includes: Based on the behavioral pattern, the carbon dioxide concentration detected by the concentration sensor, and the behavioral pattern information, 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 sixth step of receiving the carbon monoxide concentration detected by the indoor concentration sensor; Based on the carbon monoxide concentration received in the sixth step, it is determined whether a fire has occurred in the room. The indoor abnormality detection method according to claim 7.

9. 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 receiving a sensor detection result from a human presence sensor disposed at a predetermined location in the room; a fourth means for determining the state of a person in the room based on the change in concentration detected by the second means and the sensor detection result received by the third means; An indoor anomaly detection system having:

10. 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 receiving a sensor detection result from a human presence sensor disposed at a predetermined location in the room; a fourth step of determining the state of a person in the room based on the concentration change detected in the second step and the sensor detection result received in the third step; A program that causes a computer to execute the following.

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