Indoor Abnormality Detection Method, Its System, and Program

Abstract

Provided is an indoor abnormality detection method capable of remotely determining the physical condition of an occupant while protecting the privacy of the occupant and the like. [Solution means] 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 concentration of the indoor carbon dioxide concentration received in the first step, and a person in a predetermined location in the room A third step of receiving the sensor detection result of the presence sensor, and a fourth step of determining the state of the person in the front room based on the concentration change detected in the second step and the sensor detection result received in the third step.

Description

Technical Field

[0001] The present invention relates to an indoor abnormality detection method, its system, and a program.

Background Art

[0002] There is a system that installs a camera or the like in the living space of the elderly to confirm the survival of residents such as the elderly.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, when using a camera as described above, there is a concern about the invasion of the privacy of residents. Residents have the right to live an independent life, and being constantly monitored may violate that right. In addition, if the camera malfunctions or is hacked, there is a risk that personal information and living conditions may be leaked to third parties. Furthermore, since the elderly should have a space to move around freely, the installation of cameras may also limit the actions of residents. From such points, there is a need for a method to ensure the safety of the elderly while protecting individual privacy rights and dignity.

[0005] The present invention has been made in view of such circumstances, and its object is to provide an indoor abnormality detection method, its system, and a program capable of remotely determining the physical condition of a resident while protecting the privacy of the resident and others.

Means for Solving the Problems

[0006] The present invention is an indoor abnormality detection method in which a computer executes a first step of receiving a carbon dioxide concentration detected by an indoor concentration sensor, 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 a sensor detection result of a human presence sensor arranged at a predetermined location in the room, and a fourth step of determining a 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.

[0007] Preferably, in the fourth step, when the detected carbon dioxide concentration has dropped to a certain standard and the first condition that the sensor detection result does not detect a person in the room for a certain period of time is satisfied, it is determined that an abnormality has occurred to the person.

[0008] Preferably, the computer executes a fifth step of generating behavior pattern information indicating the entry and exit of people into the room and the movement pattern in the room based on the concentration change for a predetermined period and the sensor detection result for a predetermined period, and in the fourth step, when the first condition is satisfied and the second condition that it is a home-estimated time zone in which a person is presumed to be in the room based on the behavior pattern information is satisfied, it is determined that an abnormality has occurred to the person.

[0009] Preferably, in the fourth step, when the detected carbon dioxide concentration continues to be detected at a certain standard for a predetermined time and the sensor detection result does not detect a person in the room for a certain period of time, it is determined that the first condition is satisfied.

[0010] Preferably, in the fifth step, the behavior pattern information is generated 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.

[0011] Preferably, in the fifth step, based on the change in the carbon dioxide concentration detected by the plurality of concentration sensors respectively provided in the same living space or a plurality of rooms within a company, the timing of the change in the concentration, the change in the detection result of the sensor detection results detected by the plurality of human presence sensors respectively provided in the same living space or a plurality of rooms within a company, and the timing of the change in the detection result, the behavior pattern information is generated.

[0012] Preferably, in the fourth step, based on the behavior pattern, the carbon dioxide concentration detected by the concentration sensor, and the behavior pattern information, it is specified whether there is one person or a plurality of people in the room, and on the condition that there is only one person in the room, it is determined that the abnormality has occurred.

[0013] Preferably, there is a sixth step of receiving the carbon monoxide concentration detected by a concentration sensor in the room, and based on the carbon monoxide concentration received in the sixth step, it is determined whether a fire has occurred in the room.

[0014] The present invention includes a first means for receiving the carbon dioxide concentration detected by a concentration sensor in the room, a second means for detecting a change in the concentration of the indoor carbon dioxide concentration received by the first means, a third means for receiving the sensor detection result of a human presence sensor arranged at a predetermined location in the room, and a fourth means for determining the state of a person in the room based on the concentration change detected by the second means and the sensor detection result received by the third means, which is an indoor abnormality detection system.

[0015] The present invention is a program for causing a computer to execute 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 concentration of the indoor carbon dioxide concentration received in the first step, a third step of receiving the sensor detection result of a human presence sensor arranged at a predetermined location in the room, and a fourth step of determining the state of a person in the room based on the concentration change detected by the second step and the sensor detection result received by the third step.

Advantages of the Invention

[0016] According to the present invention, it is possible to provide an indoor abnormality detection method, a system and a program thereof that can determine the physical state of a resident remotely while protecting the privacy of the resident and the like.

Brief Description of the Drawings

[0017]

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Embodiments for Carrying Out 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 the present embodiment, concentration sensors 13 (such as 13_1 to 13_4) are arranged in the living space or the interior 12 (such as 12_1 to 12_4) of the enterprise. In the interior 12, human presence sensors 15 (such as 15_1 to 15_3) are arranged. The human presence sensor 15 has, for example, a detection angle of 110 degrees and a detection distance of about 5 m. The human presence sensor 15 is arranged on the movement path of people in the interior.

[0019] The indoor abnormality detection device 11 receives the carbon dioxide concentration detected by the concentration sensor 13, receives the sensor detection result from the human presence sensor 15, determines the abnormal state of the people in the interior as described later, and transmits a message to the related person terminal device 21 as necessary.

[0020] FIG. 2 is a diagram for explaining the concentration sensor 13 arranged in the interior 12 of the house to be monitored. The concentration sensor 13 and the human presence sensor 15 are installed in a predetermined interior 12 among a plurality of interiors 12 such as houses.

[0021] FIG. 3 is a functional block diagram of the indoor abnormality detection device 11 shown in FIG. 1. As shown in FIG. 2, the indoor abnormality detection device 11 has, 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 and performs the processing of the indoor abnormality detection device 11 defined in the present embodiment.

[0023] The indoor abnormality detection device 11 receives, from the concentration sensor 13 in the living space, carbon dioxide concentration data indicating the carbon dioxide concentration detected by the concentration sensor 13. The indoor abnormality detection device 11 detects the amount of change per unit time of the carbon dioxide concentration indicated by the received carbon dioxide concentration data. For example, as shown in FIGS. 4 and 5, the indoor abnormality detection device 11 detects the amount of change. The amount of change may use a changed percentage. By using the amount of change in this way, the state change of the occupant can be specified with high accuracy.

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

[0025] Based on the detected amount of change and the human presence detection result, the indoor abnormality detection device 11 determines whether there is a person in the living space.

[0026] In any one of the interiors 12_1 to 12_4, after the carbon dioxide concentration of any one of the concentration sensors 13_1 to 13_4 changes from the survival concentration to the non-survival concentration, the indoor abnormality detection device 11 determines whether the first condition that the sensor detection results of the human presence sensors 15_1 to 15_3 do not detect a person for a certain period of time is satisfied. When the first condition is satisfied, the indoor abnormality detection device 11 determines that an abnormality has occurred to the person indoors. Here, the survival concentration is a concentration defined based on the result of detecting the carbon dioxide concentration for a predetermined period in advance when a person is alive in the interiors 12_1 to 12_4. Also, the non-survival concentration is a concentration defined based on the result of detecting the carbon dioxide concentration for a predetermined period in advance when there is no person in the interiors 12_1 to 12_4.

[0027] Based on the specified behavior pattern and the carbon dioxide concentration, the indoor abnormality detection device 11 specifies whether there is one person or a plurality of people in the living period, and determines that an abnormality has occurred on the condition that there is only one person in the living space.

[0028] In FIGS. 4 and 5, the difference in carbon dioxide (only the change amount) when a person is acting is graphically represented. When the line of the graph moves violently, it means that the person is in a moving state. This state can also be grasped by the concentration of carbon dioxide. Based on the concentration of carbon dioxide and its change, the behavior of the occupants and the indoor air environment can be grasped.

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

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

[0031] Step ST11: The indoor abnormality detection device 11 receives carbon dioxide concentration data indicating the carbon dioxide concentration 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 it in the memory 59.

[0032] Step ST12: The indoor abnormality detection device 11 detects the change amount per unit time of the carbon dioxide concentration data received in step ST11 and stores it in the memory 59. For example, the indoor abnormality detection device 11 detects the change amount 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 in the living space from the human presence sensor 15.

[0034] Step ST14: The indoor abnormality detection device 11 determines whether there is a person in the living space based on at least one of the carbon dioxide concentration or its change amount, and the sensor detection result. This determination may be made for each of the indoor areas 12_1 to 12_4. This determination may also be made using a learning function. When the indoor abnormality detection device 11 determines that there is a person, it proceeds to step ST15.

[0035] Step ST15: Based on the concentration or change amount of the 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, the indoor abnormality detection device 11 determines whether the first condition indicating that an abnormality has occurred to the person indoors is satisfied. Specifically, when the detected carbon dioxide concentration drops to a certain standard and then the sensor detection result does not detect a person indoors for a certain period of time, the indoor abnormality detection device 11 determines that the first condition is satisfied. The above "the detected carbon dioxide concentration drops to a certain standard" is determined based on the fact that the carbon dioxide concentration changes from the predefined survival concentration of a person to the non-survival concentration within a certain period of time.

[0036] At this time, it is determined based on how the carbon dioxide concentration in the room changes by a predefined amount of change over time when an abnormal situation occurs to a person. The indoor abnormality detection device 11 may determine that the first condition is satisfied when it continuously detects the state where the detected carbon dioxide concentration has dropped to a certain standard for a predetermined time and the sensor detection result does not detect a person indoors for a certain period of time. The predetermined time and the certain period of time are predefined based on past measured values. Also, they may be updated based on measured values for a certain period. This update may also be performed using a learning function.

[0037] Step ST16: The indoor abnormality detection device 11 notifies the relative terminal device 21 of the relative of the occupant that an abnormality has occurred to the occupant.

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

[0039] <Second Embodiment>

[0040] In this embodiment, in addition to the first condition in the first embodiment described above, when the second condition that it is a home occupancy estimation time zone estimated that there is a person in the room based on the behavior pattern information of the residents is satisfied, it is determined that an abnormality has occurred. Thereby, the determination accuracy is improved.

[0041] FIG. 8 is a flowchart for explaining the generation of behavior pattern data. Each step will be described. Step ST21: The indoor abnormality detection device 11 reads out the change amount of carbon dioxide for a certain period (for example, one week to one month) stored in the memory 59 in step ST12 shown in FIG. 7.

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

[0043] Step ST23: The communication terminal device 11 generates the behavior pattern information of the occupants 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 of the sensor detection result. The generation may be performed using a learning function. When the concentration sensors 13 and the human presence sensors 15 are arranged in a plurality of rooms, patterns are specified for each room, and the behavior pattern information as a whole is generated based on that. The action pattern information identifies the time periods when the occupant (person) is in rooms 12_1 to 12_4 indoors, the time periods when the occupant is not there, the movement patterns between rooms, etc. Based on this, the estimated time period of occupancy during which the occupant is presumed to be in the living space is identified. The estimated time period of occupancy is, for example, the time period during which the occupant is in the living space or specific rooms 12_1 to 12_4 with a certain probability (such as 90%).

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

[0045] Steps ST11, ST12, ST15, and ST16 are the same as the respective steps of the first embodiment described with reference to FIG. 7.

[0046] Step ST33 will be described. Step ST33 is performed as follows. When the indoor abnormality detection device 11 satisfies the second condition that it is the estimated time period of occupancy during which a person is presumed to be indoors based on the action pattern information generated in step ST23 described above, the process proceeds to step ST15.

[0047] According to the second embodiment, since the action pattern information of the resident is generated in advance and used to further notify the abnormality occurrence message, it is possible to perform notification based on a more accurate situation judgment.

[0048] The present invention is not limited to the above-described embodiments. That is, those skilled in the art may make various changes, combinations, sub-combinations, and substitutions with respect to the components of the above-described embodiments within the technical scope of the present invention or its equivalent scope.

[0049] In addition to the functions of the first and second embodiments described above, when a person is detected indoors based on the concentration of carbon dioxide, but the sensor detection result does not detect a person in the time period when the action should have been started from the action pattern information, a warning with a low urgency may be notified to the relevant person.

[0050] In the above-described embodiment, a living space was exemplified, but the present invention may also be applied to workplace spaces, hospital wards, facilities, etc. of other companies.

[0051] Also, whether there is a person in the room 12 affects the temperature and humidity in the room 12. It is also possible to determine whether the occupant has intentionally turned on the air conditioner, which can be used for life monitoring. Also, since the humidity increases as the number of people increases, there are also changes due to seasonal factors. By detecting this, the state of the room 12 can also be grasped. Ultimately, the indoor abnormality detection device 11 comprehensively utilizes the above and individually converts the data into home or away detection and can read the behavior pattern.

[0052] For example, the behavior pattern of an elderly person living alone in an apartment is either in the bedroom, living room, or out (excluding the toilet and bathroom). If the carbon dioxide concentration sensors 13 are installed only in the living room and bedroom, the safety and living pattern can be confirmed without the privacy being invaded by a camera.

[0053] Also, the indoor abnormality detection device 11 may receive the carbon monoxide concentration detected by the indoor concentration sensor and determine whether a fire has occurred indoors 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 using a stove in a cold area. If there is a fire, significant changes will occur in CO, CO2, and temperature at an early stage.

Industrial Applicability

[0054] The present invention is applicable to an indoor abnormality detection system.

Explanation of Reference Numerals

[0055] 11... Specification Verification System 12... Indoor 13... Carbon Dioxide Concentration Sensor 15... Human Presence Sensor 21... Related Party 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 of a human presence sensor disposed at a predetermined location in the room; a fourth step of determining that an abnormality has occurred in a person in the room when the sensor detection result received in the third step satisfies a first condition that the carbon dioxide concentration detected in the second step has fallen to a certain standard and no person in the room has been detected for a certain period of time; An indoor anomaly detection method executed by a computer, comprising: The computer includes: A communication unit, a memory, and a processing unit are included. The communication unit receives the carbon dioxide concentration from the concentration sensor and receives the sensor detection result from the human presence sensor; The memory stores a program to be executed by the processing unit, The processing unit executes the program stored in the memory to perform the determination in the fourth step. Indoor anomaly detection method.

2. 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 for a predetermined period of time and the sensor detection results for a predetermined period of time. The computer executes the 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 period is an estimated time period during which a person is estimated to be at home in the room based on the behavior pattern information. The indoor abnormality detection method according to claim 1 .

3. 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 period of time and the sensor detection result does not detect a person in the room for a certain period of time. The indoor abnormality detection method according to claim 2.

4. 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. The indoor abnormality detection method according to claim 3.

5. The fifth step includes: The change in concentration of the carbon dioxide detected by a plurality of the 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 result detected by a plurality of the human presence sensors installed in a plurality of rooms in the same residential space or company, and a timing of the change in the detection result; The behavioral pattern information is generated based on the above. The indoor abnormality detection method according to claim 4.

6. The fourth step includes: Based on the carbon dioxide concentration detected by the concentration sensor and the behavior 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 5.

7. a sixth step of receiving a 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 6.

8. A communication unit that receives a carbon dioxide concentration detected by a concentration sensor in a room and a sensor detection result of a human presence sensor disposed at a predetermined location in the room; A memory that stores a program executed by the processing unit; a processing unit that executes the program to detect a change in the carbon dioxide concentration in the room received by the communication unit, and to determine a state of a person in the room based on the detected change in concentration and the sensor detection result received by the communication unit; having The processing unit determines that an abnormality has occurred in a person in the room when the sensor detection result received by the communication unit satisfies a first condition that a person in the room is not detected for a certain period of time after the detected carbon dioxide concentration has fallen to a certain standard. Indoor anomaly detection system.

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 receiving a sensor detection result of a human presence sensor disposed at a predetermined location in the room; a fourth step of determining that an abnormality has occurred in a person in the room when the sensor detection result received in the third step satisfies a first condition that the carbon dioxide concentration detected in the second step has fallen to a certain standard and no person in the room has been detected for a certain period of time; A program for causing a computer to execute the following: The computer includes: A communication unit, a memory, and a processing unit are included. The communication unit receives the carbon dioxide concentration from the concentration sensor and receives the sensor detection result from the human presence sensor; The memory stores a program to be executed by the processing unit, The processing unit executes the program stored in the memory to perform the determination in the fourth step. program.

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