Monitoring system and monitoring program

Abstract

To provide a monitoring system and a monitoring program that can prevent a monitoring target from falling into an abnormal condition in advance.SOLUTION: A monitoring system 1 is a system for monitoring a monitoring target in a monitoring environment, and comprises: a first acquisition unit 22a that acquires monitoring target condition information; a second acquisition unit 22b for acquiring monitoring target characteristic information or / and monitoring environment characteristic information; a determination unit 22c for determining whether the monitoring target is experiencing a sign of an abnormal condition based on the monitoring target condition information acquired by the first acquisition unit 22a and the monitoring target characteristic information or / and the monitoring environment characteristic information acquired by the second acquisition unit 22b; and a notification unit 22d that notifies the sign determination information.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a monitoring system and a monitoring program.

Background Art

[0002] Conventionally, as one of the systems for identifying the state of a patient or a care recipient, a system has been proposed that retrospectively discriminates the state (posture) of the care recipient based on the body pressure distribution of the care recipient detected by an elastomer sensor disposed in a bedding (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, in recent years, there has been an increasing need to predict the fall or tumble of a care recipient. However, in the above-described conventional system, as described above, it is merely a system that retrospectively discriminates the state of the care recipient based on the body pressure distribution of the care recipient. Therefore, it has been difficult to predict the fall or tumble of the care recipient based on the body pressure distribution of the care recipient. Thus, from the viewpoint of preventing a monitoring target such as the fall or tumble of the care recipient from becoming an abnormal state, there has been room for improvement.

[0005] The present invention has been made in view of the above, and an object thereof is to provide a monitoring system and a monitoring program capable of preventing a monitoring target from becoming an abnormal state.

Means for Solving the Problems

[0006] In order to solve the above-described problems and achieve the object, the monitoring system according to claim 1 is a monitoring system for monitoring a monitoring target in a monitoring environment, comprising: a first acquisition means for acquiring monitoring target state information indicating the state of the monitoring target; a second acquisition means for acquiring monitoring target characteristic information indicating the characteristics of the monitoring target or / and monitoring environment characteristic information indicating the characteristics of the monitoring environment; a determination means for determining whether or not there is a sign that the monitoring target is in an abnormal state based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information acquired by the second acquisition means or / and the monitoring environment characteristic information; and a notification means for notifying prediction determination information indicating the determination result of the determination means.

[0007] The monitoring system according to claim 2 is the monitoring system according to claim 1, wherein the monitoring target characteristic information includes attribute information indicating the attributes of the monitoring target or / and behavior characteristic information indicating the behavior characteristics of the monitoring target.

[0008] The monitoring system according to claim 3 is the monitoring system according to claim 1 or 2, wherein the monitoring environment characteristic information includes detection means type information indicating the type of detection means for detecting the abnormal state or / and detection means position information indicating the installation position of the detection means.

[0009] The monitoring system according to claim 4 is the monitoring system according to claim 1 or 2, wherein the determination means specifies a first contribution value indicating the degree of contribution of the state of the monitoring target indicated by the monitoring target state information acquired by the first acquisition means to the abnormal state, and a second contribution value indicating the degree of contribution of the characteristics of the monitoring target indicated by the monitoring target characteristic information acquired by the second acquisition means or / and the characteristics of the monitoring environment indicated by the monitoring environment characteristic information to the abnormal state, and determines whether or not the sign has occurred based on the specified first contribution value and the specified second contribution value.

[0010] The monitoring system according to claim 5 is the monitoring system according to claim 1 or 2, wherein the notification means acquires monitoring target image information, which is information of an image indicating the state of the monitoring target, and notifies the omen determination information including the acquired monitoring target image information.

[0011] The monitoring program according to claim 6 is a monitoring program for causing a monitoring system for monitoring a monitoring target in a monitoring environment to execute, and causes a computer to function as: a first acquisition means for acquiring monitoring target state information indicating the state of the monitoring target; a second acquisition means for acquiring monitoring target characteristic information indicating the characteristics of the monitoring target or / and monitoring environment characteristic information indicating the characteristics of the monitoring environment; a determination means for determining whether or not there is an omen that the monitoring target is in an abnormal state based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information or / and the monitoring environment characteristic information acquired by the second acquisition means; and a notification means for notifying omen determination information indicating the determination result of the determination means.

Advantages of the Invention

[0012] According to the monitoring system according to claim 1 or the monitoring program according to claim 6, since it includes a determination means for determining whether or not there is an omen that the monitoring target is in an abnormal state based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information or / and the monitoring environment characteristic information acquired by the second acquisition means, and a notification means for notifying omen determination information indicating the determination result of the determination means, it is possible to notify the omen determination information and prevent the monitoring target from being in an abnormal state.

[0013] According to the monitoring system according to claim 2, since the monitoring target characteristic information includes attribute information or / and behavior characteristic information, it is possible to determine whether or not there is an omen that the monitoring target is in an abnormal state based on the attribute or / and behavior characteristic of the monitoring target, and accurately determine the omen.

[0014] According to the monitoring system described in claim 3, since the monitoring environment characteristic information includes the detection means type information and / or the detection means position information, it is possible to determine whether there is a sign that the monitoring target is in an abnormal state based on the type and / or installation position of the detection means, and the sign can be determined more accurately.

[0015] According to the monitoring system described in claim 4, the determination means identifies the first contribution value and the second contribution value, and determines whether the above-mentioned sign has occurred based on the identified first contribution value and the identified second contribution value. Therefore, it is possible to simply and accurately determine whether the above-mentioned sign has occurred, and it is possible to efficiently perform the determination.

[0016] According to the monitoring system described in claim 5, the notification means acquires the monitoring target image information and notifies the sign determination information including the acquired monitoring target image information. Therefore, the monitoring target image information can be presented, and it is possible to grasp the details of the state of the monitoring target.

Brief Description of the Drawings

[0017]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Embodiments for Carrying Out the Invention

[0018] With reference to the accompanying drawings, embodiments of the monitoring system and the monitoring program according to the present invention will be described in detail. First, [I] the basic concept of the embodiment will be described, then [II] the specific content of the embodiment will be described, and finally, [III] modifications to the embodiment will be described. However, the present invention is not limited by the embodiments.

[0019] [I] Basic Concept of the Embodiment First, the basic concept of the embodiment will be described. The embodiment generally relates to a monitoring system and a monitoring program for monitoring a monitoring target in a monitoring environment.

[0020] Here, the "monitoring target" means the object to be monitored. This monitoring target includes, for example, patients admitted to a medical facility, care recipients living in a nursing facility, children or the elderly in a general or apartment house, customers in a commercial facility, and / or workers in a factory facility. However, in the embodiment, the description will be made with respect to patients admitted to a medical facility and care recipients living in a nursing facility.

[0021] Also, the "monitoring environment" means the environment where the monitoring target is temporarily or permanently located. This monitoring environment includes, for example, a hospital ward in a medical facility, a living room in a nursing facility, a specific room (as an example, a living room) in a general or apartment house, a store area in a commercial facility, a work area in a factory facility, etc. However, in the embodiment, the description will be made with respect to the hospital ward in the medical facility where the above patients are admitted and the living room in the nursing facility.

[0022] [II] Specific Content of the Embodiment Next, the specific content of the embodiment will be described.

[0023] (Configuration) First, the configuration of the monitoring system according to the embodiment will be described.

[0024] The monitoring system 1 is a system for monitoring a monitoring target (specifically, a patient admitted to a medical facility or a care recipient living in a care facility) in a monitoring environment (specifically, a hospital ward in a medical facility or a living room in a care facility). As shown in FIG. 1, it includes a terminal device 10 and a processing device 20.

[0025] Here, although one terminal device 10 is shown in FIG. 1, actually, the terminal device 10 is configured to include a plurality of terminal devices 10 held by two or more of the following-described monitors, and a processing device 20 capable of communicating with these plurality of terminal devices 10 via a network 2. However, it is not limited to this. For example, there may be only one terminal device 10.

[0026] (Configuration - Terminal Device) First, the configuration of the terminal device 10 will be described.

[0027] The terminal device 10 is a device held by a monitor (not shown), and is a device for communicating various information with the processing device 20. This terminal device 10 is communicably connected to the processing device 20 via a network 2. As shown in FIG. 1, it includes a terminal-side communication unit 11, a terminal-side operation unit 12, a terminal-side output unit 13, a terminal-side power supply unit 14, a terminal-side control unit 15, and a terminal-side storage unit 16. However, for the configurations of the terminal device 10 that are not particularly noted, the description will be omitted as being the same as those of known portable terminals such as smartphones.

[0028] Note that the "monitor" is a person who monitors the monitoring target. This monitor is a concept including, for example, doctors and nurses in medical facilities, caregivers in care facilities, relatives of children and the elderly in general or apartment houses, store clerks in commercial facilities, managers of factory facilities, etc. However, in the embodiment, it will be described as doctors and nurses in medical facilities and caregivers in care facilities.

[0029] (Configuration - Terminal Device - Terminal-Side Communication Unit) The terminal-side communication unit 11 is terminal-side communication means for performing communication at least with the processing device 20. For example, it is configured using known communication means for performing wireless communication using a wireless communication network (as an example, communication means using a long-distance wireless communication standard such as 4G, 5G, wireless LAN, or LTE (registered trademark)). However, it is not limited to this, and for example, it may be configured using communication means for performing wired communication using a wired communication network.

[0030] (Configuration - Terminal Device - Terminal-side Operation Unit) The terminal-side operation unit 12 is terminal-side operation means for receiving operation inputs to the terminal device 10, and is configured using known operation means such as various switches and touch pads.

[0031] (Configuration - Terminal Device - Terminal-side Output Unit) The terminal-side output unit 13 is output means for outputting various information based on the control of the terminal-side control unit 15, and is configured using, for example, known display means (as an example, a display) or / and voice output means (as an example, a speaker).

[0032] (Configuration - Terminal Device - Terminal-side Power Supply Unit) The terminal-side power supply unit 14 is terminal-side power supply means for supplying power to each part of the terminal device 10.

[0033] (Configuration - Terminal Device - Terminal-side Control Unit) The terminal-side control unit 15 is terminal-side control means for controlling the terminal device 10. Specifically, this terminal-side control unit 15 is a computer configured to include a CPU, various programs (including basic control programs such as an OS and application programs that are launched on the OS and realize specific functions) interpreted and executed on the CPU, and internal memory such as a RAM for storing programs and various data (note that the same applies to the configuration of the processing-side control unit 22 described later).

[0034] Note that the details of the processing executed by this terminal-side control unit 15 will be described later.

[0035] (Configuration - Terminal Device - Terminal - Side Memory Unit) The terminal - side memory unit 16 is a terminal - side memory means for storing programs and various data necessary for the operation of the terminal device 10. Specifically, this terminal - side memory unit 16 is configured using a rewritable recording medium, and for example, a non - volatile recording medium such as a flash memory can be used (the same applies to the configuration of the processing - side memory unit 23 described later).

[0036] (Configuration - Processing Device) Next, the configuration of the processing device 20 will be described.

[0037] The processing device 20 is a device for executing processing related to the monitoring of a monitoring target in the monitoring environment. This processing device 20 is communicably connected to the terminal device 10 via the network 2, and as shown in FIG. 1, includes a processing - side communication unit 21, a processing - side control unit 22, and a processing - side memory unit 23. However, for the configuration of the processing device 20 that is not particularly noted, the description will be omitted assuming it is the same as a known cloud server.

[0038] (Configuration - Processing Device - Processing - Side Communication Unit) The processing - side communication unit 21 is a processing - side communication means for communicating with the terminal device 10. For example, it is configured using a known communication means for performing wireless communication using a wireless communication network (as an example, communication means using a long - distance wireless communication standard such as 4G, 5G, wireless LAN, or LTE (registered trademark), etc.). However, it is not limited to this, and for example, it may be configured using a communication means for performing wired communication using a wired communication network.

[0039] (Configuration - Processing Device - Processing - Side Control Unit) The processing - side control unit 22 is a processing - side control means for controlling each part of the processing device 20. As shown in FIG. 1, functionally conceptually, it includes a first acquisition unit 22a, a second acquisition unit 22b, a determination unit 22c, and a notification unit 22d.

[0040] Note that the monitoring program according to the embodiment (specifically, the monitoring program for executing the monitoring process described later) is installed in the processing device 20 via an arbitrary recording medium or the network 2, thereby substantially constituting each part of the processing-side control unit 22.

[0041] (Configuration - Processing Device - Processing-Side Control Unit - First Acquisition Unit) The first acquisition unit 22a is the first acquisition means for acquiring the monitored target state information.

[0042] Here, the "monitored target state information" is information indicating the state of the monitored target.

[0043] Also, in the embodiment, the "state of the monitored target" includes the state where the monitored target is sleeping in the bed (specifically, the posture state at bedtime and the sleep state at bedtime), the state where the monitored target has gotten up from the bed (specifically, the posture state at getting up and the motion state at getting up), the state where the monitored target is staying on the bed or in the room (however, excluding the state where the monitored target is sleeping in the bed and the state where the monitored target has gotten up from the bed), etc.

[0044] (Configuration - Processing Device - Processing-Side Control Unit - Second Acquisition Unit) The second acquisition unit 22b is the second acquisition means for acquiring the monitored target characteristic information and / or the monitoring environment characteristic information.

[0045] Here, the "monitored target characteristic information" is information indicating the characteristics of the monitored target (specifically, the unique properties of the monitored target), and in the embodiment, it is a concept including attribute information and behavior characteristic information.

[0046] Among these, the "attribute information" is information indicating the attributes of the monitored target.

[0047] Also, in the embodiment, the "attributes of the monitored target" include the gender, height, weight, age, medical history, eyesight, presence or absence of taking medicine, rehabilitation history, degree of need for assistance, history of falls, presence or absence of joint range of motion limitation, and / or presence or absence of paralysis of the monitored target, etc.

[0048] Also, the "behavior characteristic information" is information indicating the behavior characteristics of the monitoring target.

[0049] In addition, the "behavior characteristics of the monitoring target" in the embodiment corresponds to characteristics of the monitoring target's turning over, characteristics of the monitoring target's getting up, characteristics of the monitoring target's standing up, the frequency of the monitoring target using the toilet, and / or the presence or absence of the monitoring target's nocturnal awakening, etc.

[0050] Based on such monitoring target characteristic information, it is possible to determine whether there is a sign that the monitoring target is in an abnormal state based on the attributes and / or behavior characteristics of the monitoring target, and the sign can be accurately determined.

[0051] Here, the "monitoring environment characteristic information" is information indicating the characteristics of the monitoring environment (specifically, the unique nature of the monitoring environment), and in the embodiment, it is a concept including detection means type information and detection means position information.

[0052] Among these, the "detection means type information" is information indicating the type of means for detecting the abnormal state of the monitoring target (hereinafter referred to as the "detection means". Not shown in the figure).

[0053] In addition, the "type of detection means" in the embodiment corresponds to various sensors (as an example, optical (such as infrared sensors), magnetic sensors, pressure sensors, sleep sensors, etc.), various imaging devices (as an example, still cameras, video cameras, video cameras and markers, etc.), and / or combinations thereof, etc.

[0054] Also, the "detection means position information" is, for example, information indicating the installation position of the above detection means.

[0055] In addition, the "installation position of the detection means" in the embodiment corresponds to positions below the bed, positions above the bed, positions of specific parts of the monitoring target (such as the head, arms, feet, etc.), and / or combinations thereof, etc.

[0056] Based on such monitored object characteristic information, it is possible to determine whether there is a sign that the monitored object is about to enter an abnormal state based on the type and / or installation position of the above detection means, and the sign can be determined more accurately.

[0057] (Configuration - Processing Device - Processing Side Control Unit - Determination Unit) The determination unit 22c is a determination means for determining whether there is a sign that the monitored object is about to enter an abnormal state based on the monitored object state information acquired by the first acquisition unit 22a and the monitored object characteristic information and / or monitored environment characteristic information acquired by the second acquisition unit 22b.

[0058] Here, in the embodiment, the "abnormal state" means a state in which the monitored object has fallen or tumbled while in the sleeping state.

[0059] Also, in the embodiment, "there is a sign that the monitored object is about to enter an abnormal state" corresponds to, for example, a sign that the monitored object is about to fall or tumble while in the sleeping state, and / or a sign that the monitored object is about to fall or tumble while in the waking state.

[0060] Among these, "there is a sign that the monitored object is about to fall or tumble while in the sleeping state" means, for example, that a monitored object estimated to have weak legs and waist (as an example, a patient or caregiver requiring care level 3 or above, a patient or caregiver with a fractured foot or waist, etc.) lies on the side opposite to the wall side and faces that side when going to bed, or that the monitored object frequently turns over when going to bed, etc.

[0061] Also, "there is a sign that the monitored object is about to fall or tumble while in the waking state" means, for example, that the monitored object estimated to have weak legs and waist is sitting on the edge of the bed, or that the monitored object sways when standing up, etc.

[0062] (Configuration - Processing Device - Processing Side Control Unit - Notification Unit) The notification unit 22d is a notification means for notifying information indicating the determination result of the determination unit 22c (hereinafter referred to as "sign determination information").

[0063] (Configuration - Processing Device - Processing - side Memory Unit) The processing - side memory unit 23 is a processing - side memory means for recording programs and various data necessary for the operation of the processing device 20. As shown in FIG. 1, it includes a state contribution value database (hereinafter, the database is referred to as "DB") 23a, an attribute contribution value DB 23b, a behavior characteristic contribution value DB 23c, a detection type contribution value DB 23d, and a detection position contribution value DB 23e.

[0064] (Configuration - Processing Device - Processing - side Memory Unit - State Contribution Value DB) The state contribution value DB 23a is a state contribution value information storage means for storing state contribution value information.

[0065] Here, the "state contribution value information" is information indicating a contribution value (hereinafter, referred to as the "state contribution value") indicating the degree to which the state of the monitoring target contributes to the abnormal state.

[0066] As shown in FIG. 2, this state contribution value DB 23a is configured by correlating the item "monitoring target state information" and the item "state contribution value information" with the information corresponding to each item.

[0067] Among them, the information corresponding to the item "monitoring target state information" is monitoring target state information. As shown in FIG. 2, the state where the monitoring target is sleeping in bed, "in the non - REM state and lying on the side opposite to the wall side and facing that opposite side at bedtime", the state where the monitoring target is getting up from the bed, "the state where the monitoring target is sitting on the edge of the bed", etc. are applicable.

[0068] Also, the information corresponding to the item "state contribution value information" is state contribution value information. As shown in FIG. 2, the state contribution value "Pa1001" (shown as above for convenience of explanation), etc. are applicable.

[0069] Note that the method for generating this state contribution value information is arbitrary. For example, after obtaining (or creating) the monitored state information and the state contribution value information by a known method, the causal relationship between these monitored state information and the state contribution value information (as an example, the causal relationship regarding predicting that the above patient or / and the above care recipient will fall or tumble) is specified by a known statistical processing method or a known machine learning method, and the monitored characteristic information with a deep causal relationship among the above monitored characteristic information is extracted to generate it (note that the generation methods for the attribute contribution value information, action characteristic contribution value information, detection type contribution value information, and detection position contribution value information described later are also substantially the same).

[0070] However, it is not limited to this. For example, it may be generated based on the experimental results or known analysis results regarding the fall or tumble of the above patient or / and the above care recipient.

[0071] (Configuration - Processing Device - Processing - Side Storage Unit - Attribute Contribution Value DB) The attribute contribution value DB23b is an attribute contribution value information storage means for storing attribute contribution value information.

[0072] Here, the "attribute contribution value information" is information indicating a contribution value (hereinafter referred to as the "attribute contribution value") indicating the degree to which the attribute of the monitored object contributes to becoming an abnormal state.

[0073] As shown in FIG. 3, this attribute contribution value DB23b is configured by associating the item "attribute information" and the item "attribute contribution value information" with the information corresponding to each item.

[0074] Among these, the information corresponding to the item "attribute information" is attribute information, and as shown in FIG. 3, it corresponds to the attribute of the monitored object such as "care recipient with care level 3 or above".

[0075] Also, the information corresponding to the item "attribute contribution value information" is attribute contribution value information, and as shown in FIG. 3, it corresponds to the attribute contribution value such as "Pb1001" (shown as above for convenience of explanation).

[0076] (Configuration - Processing Device - Processing - side Memory Unit - Action Characteristic Contribution Value DB) The action characteristic contribution value DB23c is an action characteristic contribution value information storage means for storing action characteristic contribution value information.

[0077] Here, the "action characteristic contribution value information" is information indicating a contribution value (hereinafter referred to as the "action characteristic contribution value") indicating the degree of contribution to the abnormal state of the action characteristics of the monitoring target.

[0078] As shown in FIG. 4, this action characteristic contribution value DB23c is configured by associating the item "action characteristic information", the item "action characteristic contribution value information", and the information corresponding to each item with each other.

[0079] Among these, the information corresponding to the item "action characteristic information" is action characteristic information, and as shown in FIG. 4, "frequently turning over" and the like, which are the action characteristics of the monitoring target, are applicable.

[0080] Also, the information corresponding to the item "action characteristic contribution value information" is action characteristic contribution value information, and as shown in FIG. 4, "Pc1001" (shown as above for the convenience of explanation), which is an action characteristic contribution value, is applicable.

[0081] (Configuration - Processing Device - Processing - side Memory Unit - Detection Type Contribution Value DB) The detection type contribution value DB23d is a detection type contribution value information storage means for storing detection type contribution value information.

[0082] Here, the "detection type contribution value information" is information indicating a contribution value (hereinafter referred to as the "detection type contribution value") indicating the degree of contribution to the abnormal state of the type of the above - mentioned detection means.

[0083] As shown in FIG. 5, this detection type contribution value DB23d is configured by associating the item "detection means type information", the item "detection type contribution value information", and the information corresponding to each item with each other.

[0084] Among these, the information corresponding to the item "Detection means type information" is the detection means type information. As shown in FIG. 5, the types of the above detection means, such as "video camera", are applicable.

[0085] Also, the information corresponding to the item "Detection type contribution value information" is the detection type contribution value information. As shown in FIG. 5, the detection type contribution values such as "Pd1001" (shown as above for convenience of explanation) are applicable.

[0086] (Configuration - Processing device - Processing - side storage unit - Detection position contribution value DB) The detection position contribution value DB23e is a detection type contribution value information storage means for storing detection position contribution value information.

[0087] Here, the "detection position contribution value information" is information indicating a contribution value (hereinafter referred to as "detection position contribution value") indicating the degree to which the installation position of the above detection means contributes to the abnormal state.

[0088] As shown in FIG. 6, this detection position contribution value DB23e is configured by correlating the item "Detection means position information", the item "Detection position contribution value information", and the information corresponding to each item with each other.

[0089] Among these, the information corresponding to the item "Detection means position information" is the detection means position information. As shown in FIG. 6, the installation positions of the above detection means, such as "under the bed", are applicable.

[0090] Also, the information corresponding to the item "Detection position contribution value information" is the detection position contribution value information. As shown in FIG. 6, the detection position contribution values such as "Pe1001" (shown as above for convenience of explanation) are applicable.

[0091] (Monitoring process) Next, the monitoring process executed by the terminal - side control unit 15 of the terminal device 10 and the processing - side control unit 22 of the processing device 20 configured as described above will be described.

[0092] In the following description, in the description of each process shown in FIG. 7, the steps are abbreviated as "S".

[0093] (Monitoring Process - Introduction) The monitoring process is a process for monitoring a monitoring target within a monitoring environment.

[0094] The timing for executing this monitoring process is arbitrary. However, in the embodiment, it is described as being started after the power supplies of the terminal device 10 and the processing device 20 are turned on.

[0095] In the embodiment, although the monitoring system 1 includes a plurality of terminal devices 10, the content of the monitoring process executed by these terminal devices 10 is all the same. Therefore, hereinafter, the monitoring process executed by the target terminal device 10 (hereinafter referred to as the "target terminal device") and the processing device 20 to be described will be described.

[0096] (Monitoring Process - Details of the Process) When the monitoring process is started, as shown in FIG. 7, in SA1, the second acquisition unit 22b of the processing device 20 acquires monitoring target characteristic information (specifically, attribute information, or / and behavior characteristic information), or / and monitoring environment characteristic information (specifically, detection means type information, or / and detection means position information) (that is, only one of the monitoring target characteristic information or the monitoring environment characteristic information may be acquired, or both the monitoring target characteristic information and the monitoring environment characteristic information may be acquired).

[0097] The method for acquiring this monitoring target characteristic information or / and monitoring environment characteristic information is arbitrary. However, in the embodiment, the monitoring target characteristic information or / and monitoring environment characteristic information is received from the target terminal device via a dedicated application (or a dedicated website), and at the same time, monitoring target identification information (for example, information indicating the name or identification number of the monitoring target, etc.) for uniquely identifying the monitoring target is received, thereby acquiring it.

[0098] However, not limited to this, for example, after receiving the monitoring target identification information from the target terminal device via a dedicated application (or a dedicated website), the monitoring target characteristic information and / or the monitoring environment characteristic information corresponding to the received monitoring target identification information may be obtained from an external device (for example, a management device that manages the processing device 20, etc.) or another terminal device 10 (not shown).

[0099] Alternatively, when a table (not shown) is provided in the processing-side storage unit 23 of the processing device 20 that stores the monitoring target identification information, the monitoring target characteristic information, and the monitoring environment characteristic information in association with each other, after receiving the monitoring target identification information from the target terminal device via a dedicated application (or a dedicated website), the monitoring target characteristic information and / or the monitoring environment characteristic information corresponding to the received monitoring target identification information may be obtained by extracting them from the above table.

[0100] In SA2, the first acquisition unit 22a of the processing device 20 determines whether the acquisition timing has arrived.

[0101] Here, the "acquisition timing" means the timing for acquiring the monitoring target state information.

[0102] Also, the method for determining whether this acquisition timing has arrived is arbitrary. However, in the embodiment, based on whether a predetermined time (for example, 1 hour, etc.) has elapsed after the processing of SA1 (or after it is determined that the end timing described later in SA6 has not arrived), or based on whether information indicating a requirement to confirm whether there is a sign that the monitoring target is in an abnormal state (hereinafter referred to as "confirmation request information") has been received from the target terminal device via a dedicated application (or a dedicated website).

[0103] Here, when the above-mentioned predetermined time has elapsed or when the above-mentioned confirmation request information has been received, it is determined that the acquisition timing has arrived. When the above-mentioned predetermined time has not elapsed and the above-mentioned confirmation request information has not been received, it is determined that the acquisition timing has not arrived.

[0104] Then, the first acquisition unit 22a of the processing device 20 waits until it is determined that the acquisition timing has arrived (SA2, No). When it is determined that the acquisition timing has arrived (SA2, Yes), it proceeds to SA3.

[0105] In SA3, the first acquisition unit 22a of the processing device 20 acquires the monitored object state information.

[0106] The method for acquiring this monitored object state information is arbitrary. For example, from the perspective of accurately identifying the state of the monitored object, it may be acquired as follows.

[0107] That is, when the detection means is an imaging device installed above the bed, it may be acquired by the following two methods.

[0108] Regarding the first method, first, among the detection means installed in the monitoring environment, identify the detection means for detecting the abnormal state of the monitored object corresponding to the monitored object identification information received in SA1, and directly or indirectly acquire the captured image of the monitored object from the identified detection means.

[0109] Next, using a known image analysis method, identify the state of the monitored object based on the angle or / and position of the part of the monitored object in the captured image acquired above.

[0110] As an example, when the monitoring target is located on the side opposite to the wall side of the bed, the vertical angle in the upper body of the monitoring target is within a predetermined range (for example, less than 60°), and the horizontal angle at the neck of the monitoring target is within a predetermined range (for example, +45° or more) (or the horizontal position of the knee of the monitoring target is at a predetermined position (for example, a position inside the shoulder)), it may be specified that the state of the monitoring target = the state of lying on the side opposite to the wall side facing that side at bedtime.

[0111] Also, when the vertical angle in the upper body of the monitoring target is within a predetermined range (for example, less than 60°) and the horizontal angle at the neck of the monitoring target is within a predetermined range (for example, +45° or more), it may be specified that the state of the monitoring target = the state of lying on the side opposite to the wall side at bedtime.

[0112] Then, by generating monitoring target state information indicating the state of the monitored target specified above, it is acquired.

[0113] Regarding the second method, first, using a known machine learning method, machine learning is performed based on a plurality of past captured images captured by the detection means, which are a plurality of past captured images regarding various monitoring targets (or a specific monitoring target), and the monitoring target state information corresponding to the past captured images.

[0114] Next, in the same manner as the first method above, an image of the monitoring target captured by the detection means for detecting the abnormal state of the monitoring target corresponding to the monitoring target identification information received at SA1 is directly or indirectly acquired.

[0115] Then, referring to the learning result of the machine learning above, the state of the monitoring target is specified based on the angle of the part of the monitoring target in the captured image acquired above.

[0116] As an example, from among the learning results of the machine learning above, a captured image identical or approximate to the captured image acquired above may be extracted, and the state of the monitoring target (or the modified state of the monitoring target) corresponding to the extracted captured image may be specified.

[0117] Then, it is acquired by generating monitoring target state information indicating the state of the specified monitoring target.

[0118] Also, when the detection means is a combination of an imaging device installed above the bed and markers attached to predetermined parts (e.g., shoulders, head, legs, etc.) of the monitoring target, it may be acquired by the following method.

[0119] That is, first, in the same way as the method when the detection means is an imaging device, an imaging image of the monitoring target is directly or indirectly acquired from the detection means that detects the abnormal state of the monitoring target corresponding to the monitoring target identification information received at SA1.

[0120] Next, based on the coordinate positions of a pair of markers attached to both shoulders of the monitoring target in the acquired imaging image, the state of the monitoring target is specified.

[0121] For example, among the regions of the acquired imaging image, the region where the pair of markers is located is specified, and the state of the monitoring target is specified based on the specified region.

[0122] As an example, when the region where the pair of markers is located = the position on the pillow side of the bed and the position on the side opposite to the wall side of the bed is specified, the state of the monitoring target may be specified as the state of lying on the side opposite to the wall side towards the opposite side at bedtime.

[0123] Alternatively, for example, it is determined whether the monitoring target is sleeping based on the coordinate positions of the pair of markers. Here, when it is determined that the monitoring target is sleeping, based on the length of the component of the distance between the pair of markers in the first horizontal direction (the length in the horizontal direction of the head) and the length of the component of the distance in the second horizontal direction (the length in the vertical direction of the head) of the distance, the state of the monitoring target is specified. On the other hand, when it is determined that the monitoring target is not sleeping, the state of the monitoring target is specified based on the distance between the pair of markers.

[0124] As an example, when it is determined that the monitoring target is in a sleeping state, if the length of the first horizontal component of the distance between the pair of markers is less than or equal to a predetermined value, and the length of the second horizontal component of the distance between the pair of markers is greater than the predetermined value, it may be specified that the monitoring target is in a lying position facing the opposite side when going to bed on the side opposite to the wall side.

[0125] Also, when it is determined that the monitoring target is not in a sleeping state, if the length of the distance between the pair of markers is greater than or equal to a predetermined value, it may be specified that the monitoring target is sitting at the edge of the bed.

[0126] Then, by generating monitoring target state information indicating the state of the specified monitoring target, it is acquired.

[0127] In SA4, the determination unit 22c of the processing device 20 determines whether there is a sign that the monitoring target is about to enter an abnormal state based on the monitoring target characteristic information and / or monitoring environment characteristic information acquired in SA1 and the monitoring target state information acquired in SA3.

[0128] Here, the method for determining whether the above-mentioned sign has occurred is arbitrary, but in the embodiment, it is determined as follows.

[0129] That is, first, the determination unit 22c of the processing device 20 identifies a first contribution value indicating the degree to which the state of the monitoring target indicated by the monitoring target state information acquired in SA3 contributes to the monitoring target entering the abnormal state, and a second contribution value indicating the degree to which the characteristics of the monitoring target indicated by the monitoring target characteristic information acquired in SA1 and / or the characteristics of the monitoring environment indicated by the monitoring environment characteristic information contribute to the monitoring target entering the abnormal state.

[0130] Specifically, for the identification of the first contribution value, state contribution value information corresponding to the monitoring target state information acquired in SA3 is extracted from the state contribution value information stored in the state contribution value DB23a, and the state contribution value of the extracted state contribution value information is specified as the first contribution value.

[0131] Also, regarding the specification of the second contribution value, from the attribute contribution value information stored in the attribute contribution value DB 23b, the attribute contribution value information corresponding to the attribute information acquired at SA1 is extracted, and from the action characteristic contribution value information stored in the action characteristic contribution value DB 23c, the action characteristic contribution value information corresponding to the action characteristic information acquired at SA1 is extracted. From the detection type contribution value information stored in the detection type contribution value DB 23d, the detection type contribution value information corresponding to the detection means type information acquired at SA1 is extracted, or / and from the detection position contribution value information stored in the detection position contribution value DB 23e, the detection position contribution value information corresponding to the detection means position information acquired at SA1 is extracted. Then, the attribute contribution value of the extracted attribute contribution value information, the action characteristic contribution value of the extracted action characteristic contribution value information, the detection type contribution value of the extracted detection type contribution value information, or / and the detection position contribution value of the extracted detection position contribution value information are specified as the second contribution value.

[0132] Then, the determination unit 22c of the processing device 20 determines whether or not the above-mentioned omen has occurred based on the specified first contribution value and the specified second contribution value.

[0133] Specifically, the total value of the specified first contribution value and the specified second contribution value is calculated, and it is determined whether or not the calculated total value is equal to or greater than the threshold value. When the total value is equal to or greater than the threshold value, it is determined that the above-mentioned omen has occurred, and when the total value is less than the threshold value, it is determined that the above-mentioned omen has not occurred.

[0134] As an example, when the specified first contribution value = Pa1001 and the specified second contribution values = Pb1001, Pc1001, Pd1001, and Pe1001, if the total value = Pa1001 + Pb1001 + Pc1001 + Pd1001 + Pe1001 (or, the total value = Pa1001 + Pb1001 × Pc1001 × Pd1001 × Pe1001) is equal to or greater than the threshold value, it may be determined that the above-mentioned omen has occurred.

[0135] Also, when the above-specified first contribution value = Pa1002, and the above-specified second contribution values = Pb1002 and Pc1002, if the above total value = Pa1002 + Pb1002 + Pc1002 (or, the above total value = Pa1002 + Pb1002 × Pc1002) is less than the threshold value, it may be determined that the above omen has not occurred.

[0136] Through such determination, it is possible to simply and accurately determine whether the above omen has occurred, and it becomes possible to efficiently perform such determination.

[0137] However, it is not limited to this. For example, the determination unit 22c of the processing device 20 may determine whether the above omen has occurred based on whether a value obtained by subtracting, integrating, or dividing one of the above-specified first contribution value or the above-specified second contribution value from the other is greater than or equal to the threshold value.

[0138] Also, for example, the determination unit 22c of the processing device 20 may determine whether the above omen has occurred based on whether the characteristic of the monitoring target of the monitoring target characteristic information acquired at SA1, or / and the characteristic of the monitoring environment of the monitoring environment characteristic information, is a specific characteristic, and whether the state of the monitoring target of the monitoring target state information acquired at SA3 is a specific state.

[0139] As an example, when the attribute information acquired at SA1 = information indicating a care recipient requiring care level 3 or above, and the monitoring target state information acquired at SA3 = information indicating a state of lying on the side opposite to the wall side and facing that opposite side at bedtime, if the characteristic of the monitoring environment of the monitoring environment characteristic information is a specific characteristic, and the state of the monitoring target of the monitoring target state information is a specific state, it may be determined that the above omen has occurred.

[0140] Alternatively, when the attribute information obtained at SA1 is information indicating a patient under the age of 40 with a broken leg or waist, and the monitored state information obtained at SA3 is information indicating a state of lying on the wall side facing the wall side at bedtime, if the characteristics of the monitoring environment of the monitoring environment characteristic information are not specific characteristics, and the state of the monitored object of the monitored object state information is not a specific state, it may be determined that the above sign has not occurred.

[0141] By such determination, it is possible to easily determine whether or not the above sign has occurred, and it is possible to reduce the processing load of the determination.

[0142] And when the determination unit 22c of the processing device 20 determines that the above sign has occurred (SA4, Yes), it proceeds to SA5. On the other hand, when it is determined that the above sign has not occurred (SA4, No), it proceeds to SA2 without notifying the sign determination information, and repeats the processing from SA2 to SA4 until it is determined at SA4 that the above sign has occurred.

[0143] In SA5, the notification unit 22d of the processing device 20 notifies the sign determination information (specifically, the sign determination information indicating that the above sign has occurred).

[0144] The method of notifying this sign determination information is arbitrary, but in the embodiment, it is notified as follows.

[0145] That is, first, the notification unit 22d of the processing device 20 acquires monitoring target image information that is information on an image showing the state of the monitoring target.

[0146] Specifically, it is acquired by receiving monitoring target image information (for example, monitoring target image information showing the above image captured most recently during the processing of SA5) from the above detection means, external device, or other terminal device 10.

[0147] And the notification unit 22d of the processing device 20 notifies the sign determination information including the acquired monitoring target image information.

[0148] Specifically, the above-mentioned omen determination information is transmitted to the target terminal device, and the transmitted omen determination information is output to the terminal-side output unit 13 (specifically, display means, audio output means) of the target terminal device, thereby performing notification.

[0149] Here, the output method of the above-mentioned transmitted omen determination information is arbitrary. For example, a display area (hereinafter referred to as the "notification display area") not shown in the figure is generated on the screen of the terminal-side output unit 13, and in the generated notification display area, among the above-mentioned transmitted omen determination information, text information indicating that the above-mentioned omen has occurred and the monitored target image information may be displayed adjacent to each other.

[0150] Thereby, the monitored target image information can be presented, and it becomes possible to grasp the details of the state of the monitored target.

[0151] However, it is not limited to this. For example, the notification unit 22d of the processing device 20 may notify omen determination information that does not include the monitored target image information.

[0152] Also, the above-mentioned omen determination information may be transmitted to other devices (for example, other terminal devices 10, external devices) other than the target terminal device, and the transmitted omen determination information may be output to the output means of the other device, thereby performing notification.

[0153] In SA6, the processing-side control unit 22 of the processing device 20 determines whether or not the timing to end the monitoring process (hereinafter referred to as the "end timing") has arrived.

[0154] The method for determining whether or not this end timing has arrived is arbitrary. In the embodiment, it is determined based on whether or not information indicating a request to end the monitoring process (hereinafter referred to as the "end request information") has been received from the target terminal device via a dedicated application (or a dedicated website), or whether or not a predetermined monitoring period (for example, one week, etc.) has elapsed since the start of the monitoring process.

[0155] Here, when the above-mentioned end request information is received, or when the above-mentioned predetermined monitoring period has elapsed, it is determined that the end timing has arrived. When the above-mentioned end request information has not been received and the above-mentioned predetermined monitoring period has not elapsed, it is determined that the end timing has not arrived.

[0156] Then, when it is determined that the above-mentioned end timing has arrived (SA6, Yes), the processing side control unit 22 of the processing device 20 ends the monitoring process. On the other hand, when it is determined that the above-mentioned end timing has not arrived (SA6, No), the processing side control unit 22 of the processing device 20 shifts to SA2 (or SA1) and repeats the processing from SA2 to SA6 (or from SA1 to SA6) in the same manner thereafter.

[0157] Through such monitoring processing, it is possible to notify the omen determination information and prevent the monitored object from entering an abnormal state.

[0158] (Effects of the Embodiment) As described above, according to the embodiment, based on the monitored object state information acquired by the first acquisition unit 22a and the monitored object characteristic information and / or monitoring environment characteristic information acquired by the second acquisition unit 22b, there is provided a determination unit 22c that determines whether or not there is an omen that the monitored object is about to enter an abnormal state, and a notification unit 22d that notifies omen determination information indicating the determination result of the determination unit 22c. Therefore, it is possible to notify the omen determination information and prevent the monitored object from entering an abnormal state.

[0159] In addition, since the monitored object characteristic information includes attribute information and / or behavior characteristic information, it is possible to determine whether or not there is an omen that the monitored object is about to enter an abnormal state based on the attribute and / or behavior characteristics of the monitored object, and accurately determine the omen.

[0160] In addition, since the monitoring environment characteristic information includes detection means type information and / or detection means position information, it is possible to determine whether or not there is an omen that the monitored object is about to enter an abnormal state based on the type and / or installation position of the detection means, and more accurately determine the omen.

[0161] Further, the determination unit 22c identifies the first contribution value and the second contribution value, and determines whether or not the above-mentioned sign is occurring based on the identified first contribution value and the identified second contribution value. Therefore, it is possible to simply and accurately determine whether or not the above-mentioned sign is occurring, and it is possible to efficiently perform the determination.

[0162] Further, the notification unit 22d acquires the monitoring target image information and notifies the sign determination information including the acquired monitoring target image information. Therefore, the monitoring target image information can be presented, and it is possible to grasp the details of the state of the monitoring target.

[0163] 〔III〕Modifications to the Embodiment As described above, the embodiments of the present invention have been described. However, the specific configurations and means of the present invention can be arbitrarily modified and improved within the scope of the technical idea of each invention described in the claims. Hereinafter, such modifications will be described.

[0164] (Regarding the problems to be solved and the effects of the invention) First, the problems to be solved by the invention and the effects of the invention are not limited to the above-described content. By the present invention, it is also possible to solve problems not described above or to achieve effects not described above. Further, it may solve only some of the described problems or achieve only some of the described effects.

[0165] (Regarding dispersion and integration) Moreover, each of the above-described electrical components is a functional concept and does not necessarily have to be physically configured as shown in the drawings. That is, the specific forms of distribution and integration of each part are not limited to those shown in the drawings, and all or part of them can be functionally or physically distributed or integrated in any unit according to various loads, usage situations, etc. For example, the processing device 20 may be distributed and configured in a plurality of devices that can communicate with each other, and a processing-side control unit 22 may be provided in a part of these plurality of devices, and a processing-side storage unit 23 may be provided in another part of these plurality of devices (note that a part of the processing-side control unit 22 (for example, the first acquisition unit 22a, etc.) may be distributed and configured with another part of the processing-side control unit 22). In this case, the processing-side control unit 22 and the processing-side storage unit 23 may be connected to each other via the network 2.

[0166] (Regarding shape, numerical value, structure, time series) Regarding the components illustrated in the embodiments and the drawings, with respect to the shape, numerical value, or the structure or time series mutual relationship of a plurality of components, within the scope of the technical idea of the present invention, it can be arbitrarily modified and improved.

[0167] (Regarding the state of the monitoring target) In the above embodiment, it was explained that the state of the monitoring target corresponds to the state where the monitoring target is sleeping in the bed and the state where the monitoring target is getting up from the bed, but it is not limited to this.

[0168] For example, when the monitoring target is a child or an elderly person in a general house or an apartment house, the state of the monitoring target may correspond to the state where the monitoring target is walking or sitting, etc. In this case, the abnormal state may correspond to the state where the monitoring target has been sitting for a predetermined time or more, etc.

[0169] Also, when the monitoring target is a customer in a commercial facility, the state of the monitoring target may correspond to the state where the monitoring target is staying in a purchase area or an event area, etc. In this case, the abnormal state may correspond to the state where the monitoring target has been staying in the purchase area for a predetermined time or more, etc.

[0170] Further, when the subject to be monitored is a worker in a factory facility, the state of the subject to be monitored may include a state where the subject to be monitored is working or taking a break. In this case, the abnormal state may include a state where the subject to be monitored has been working for a predetermined period or more.

[0171] (Regarding the subject characteristic information) In the above embodiment, it was described that the subject characteristic information includes attribute information and behavior characteristic information. However, the present invention is not limited to this, and for example, it may include only one of the attribute information or the behavior characteristic information.

[0172] (Regarding the monitoring environment characteristic information) In the above embodiment, it was described that the monitoring environment characteristic information includes detection means type information and detection means position information. However, the present invention is not limited to this, and for example, it may include only one of the detection means type information or the detection means position information.

[0173] Further, for example, the monitoring environment characteristic information may include, in addition to the detection means type information and the detection means position information, bed type information indicating the type of the bed, bed arrangement position information indicating the arrangement position of the bed, handrail type information indicating the type of the handrail, and / or handrail arrangement position information indicating the arrangement position of the handrail. In this case, in the processing side storage unit 23, storage means for storing information indicating a contribution value regarding the type of the bed, the arrangement position of the bed, the type of the handrail, and / or the arrangement position of the handrail may be provided respectively.

[0174] (Regarding the monitoring system) In the above embodiment, it was described that the monitoring system 1 includes the terminal device 10 and the processing device 20. However, the present invention is not limited to this. For example, the terminal device 10 may be omitted, and only the processing device 20 configured using a stationary personal computer may be provided.

[0175] In this case, for example, in the process of SA1 of the monitoring process, the second acquisition unit 22b of the processing device 20 may acquire the monitoring target characteristic information and / or the monitoring environment characteristic information by receiving the input of the processing device 20 via the operation means of the processing device 20.

[0176] Also, in the process of SA5 of the monitoring process, the notification unit 22d of the processing device 20 may notify the prediction determination information via the display means or the voice output means of the processing device 20.

[0177] (Regarding the monitoring process) In the above embodiment, in the monitoring process, it was described that the processes of SA2 and SA4 are executed. However, this is not restrictive. For example, the processes of SA2 or / and SA4 may be omitted.

[0178] In addition, when omitting the process of SA2, the order of the processes of SA1 or SA3 may be swapped. Also, in SA4, when it is determined that the above prediction has not occurred, the determination unit 22c of the processing device 20 may shift to SA1.

[0179] Also, in the above embodiment, in SA1, it was described that the second acquisition unit 22b of the processing device 20 receives the monitoring target identification information from the target terminal device in addition to receiving the monitoring target characteristic information and / or the monitoring environment characteristic information. However, this is not restrictive. For example, when monitoring only one monitoring target within the monitoring environment, the reception of the monitoring target identification information may be omitted.

[0180] Also, in the above embodiment, in SA4, when it is determined that the above prediction has not occurred (SA4, No), it was described that the determination unit 22c of the processing device 20 shifts to SA2 without notifying the prediction determination information. However, this is not restrictive. For example, after notifying the prediction determination information (specifically, the prediction determination information indicating that the above prediction has not occurred), it may shift to SA2. Alternatively, after notifying the above prediction determination information, the monitoring process may be terminated.

[0181] Also, in the above embodiment, in SA5, it was explained that the processing side control unit 22 of the processing device 20 determines whether the end timing has arrived based on whether the end request information has been received from the target terminal device via a dedicated application (or a dedicated website), but it is not limited to this. For example, when the processing from SA2 to SA4 is being performed, the processing side control unit 22 of the processing device 20 determines whether end request information has been received from the target terminal device, and if end request information has been received, the monitoring process may be terminated.

[0182] (Appendix) The monitoring system of Appendix 1 is a monitoring system for monitoring a monitoring target within a monitoring environment, and includes: a first acquisition means for acquiring monitoring target state information indicating the state of the monitoring target; a second acquisition means for acquiring monitoring target characteristic information indicating the characteristics of the monitoring target and / or monitoring environment characteristic information indicating the characteristics of the monitoring environment; a determination means for determining whether a sign that the monitoring target is in an abnormal state has occurred based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information and / or the monitoring environment characteristic information acquired by the second acquisition means; and a notification means for notifying prediction determination information indicating the determination result of the determination means.

[0183] The monitoring system of Appendix 2 is the monitoring system described in Appendix 1, wherein the monitoring target characteristic information includes attribute information indicating the attributes of the monitoring target and / or behavior characteristic information indicating the behavior characteristics of the monitoring target.

[0184] The monitoring system of Appendix 3 is the monitoring system described in Appendix 1 or 2, wherein the monitoring environment characteristic information includes detection means type information indicating the type of detection means for detecting the abnormal state and / or detection means position information indicating the installation position of the detection means.

[0185] In the monitoring system of Supplementary Note 4, in the monitoring system described in Supplementary Note 1 or 2, the determination means specifies a first contribution value indicating the degree of contribution to the state of the monitoring target indicated by the monitoring target state information acquired by the first acquisition means becoming the abnormal state, and a second contribution value indicating the degree of contribution to the characteristics of the monitoring target indicated by the monitoring target characteristic information acquired by the second acquisition means or / and the characteristics of the monitoring environment indicated by the monitoring environment characteristic information becoming the abnormal state, and determines whether or not the omen has occurred based on the specified first contribution value and the specified second contribution value.

[0186] In the monitoring system of Supplementary Note 5, in the monitoring system described in Supplementary Note 1 or 2, the notification means acquires monitoring target image information which is information of an image indicating the state of the monitoring target, and notifies the omen determination information including the acquired monitoring target image information.

[0187] The monitoring program of Supplementary Note 6 is a monitoring program for causing a monitoring system for monitoring a monitoring target in a monitoring environment to function as a first acquisition means for acquiring monitoring target state information indicating the state of the monitoring target, a second acquisition means for acquiring monitoring target characteristic information indicating the characteristics of the monitoring target or / and monitoring environment characteristic information indicating the characteristics of the monitoring environment, a determination means for determining whether or not there is an omen that the monitoring target is in an abnormal state based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information acquired by the second acquisition means or / and the monitoring environment characteristic information, and a notification means for notifying omen determination information indicating the determination result of the determination means.

[0188] (Effect of Supplementary Note) According to the monitoring system described in Supplementary Note 1 or the monitoring program described in Supplementary Note 6, based on the monitoring target status information acquired by the first acquisition means and the monitoring target characteristic information and / or monitoring environment characteristic information acquired by the second acquisition means, a determination means for determining whether or not there is a sign that the monitoring target is in an abnormal state, and a notification means for notifying prediction determination information indicating the determination result of the determination means are provided. Therefore, it is possible to notify the prediction determination information and prevent the monitoring target from being in an abnormal state in advance.

[0189] According to the monitoring system described in Supplementary Note 2, since the monitoring target characteristic information includes attribute information and / or behavior characteristic information, it is possible to determine whether or not there is a sign that the monitoring target is in an abnormal state based on the attribute and / or behavior characteristics of the monitoring target, and accurately determine the sign.

[0190] According to the monitoring system described in Supplementary Note 3, since the monitoring environment characteristic information includes detection means type information and / or detection means position information, it is possible to determine whether or not there is a sign that the monitoring target is in an abnormal state based on the type and / or installation position of the detection means, and more accurately determine the sign.

[0191] According to the monitoring system described in Supplementary Note 4, the determination means specifies a first contribution value and a second contribution value, and determines whether or not the above-mentioned sign has occurred based on the specified first contribution value and the specified second contribution value. Therefore, it is possible to simply and accurately determine whether or not the above-mentioned sign has occurred, and efficiently perform the determination.

[0192] According to the monitoring system described in Supplementary Note 5, the notification means acquires monitoring target image information and notifies prediction determination information including the acquired monitoring target image information. Therefore, it is possible to present the monitoring target image information and grasp the details of the state of the monitoring target.

Explanation of Signs

[0193] 1 Monitoring system 2 Network 10 Terminal device 11 Terminal-side communication unit 12 Terminal-side operation unit 13 Terminal-side output unit 14 Terminal-side power supply unit 15 Terminal-side control unit 16 Terminal-side memory unit 20 Processing device 21 Processing-side communication unit 22 Processing-side control unit 22a First acquisition unit 22b Second acquisition unit 22c Determination unit 22d Notification unit 23 Processing-side memory unit 23a State contribution value DB 23b Attribute contribution value DB 23c Behavior characteristic contribution value DB 23d Detection type contribution value DB 23e Detection position contribution value DB

Claims

1. A monitoring system for monitoring a monitoring target within a monitoring environment, comprising: first acquisition means for acquiring monitoring target state information indicating the state of the monitoring target; second acquisition means for acquiring monitoring target characteristic information indicating the characteristics of the monitoring target or / and monitoring environment characteristic information indicating the characteristics of the monitoring environment; determination means for determining whether there is a sign that the monitoring target is in an abnormal state based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information acquired by the second acquisition means or / and the monitoring environment characteristic information; notification means for notifying prediction determination information indicating the determination result of the determination means; A monitoring system comprising the above.

2. The monitoring target characteristic information includes attribute information indicating the attributes of the monitoring target or / and behavior characteristic information indicating the behavior characteristics of the monitoring target. The monitoring system according to claim 1.

3. The monitoring environment characteristic information includes detection means type information indicating the type of detection means for detecting the abnormal state or / and detection means position information indicating the installation position of the detection means. The monitoring system according to claim 1 or 2.

4. The determination means: specifies a first contribution value indicating the degree to which the state of the monitoring target indicated by the monitoring target state information acquired by the first acquisition means contributes to the abnormal state, and a second contribution value indicating the degree to which the characteristics of the monitoring target indicated by the monitoring target characteristic information acquired by the second acquisition means or / and the characteristics of the monitoring environment indicated by the monitoring environment characteristic information contribute to the abnormal state; determines whether the sign exists based on the specified first contribution value and the specified second contribution value. The monitoring system according to claim 1 or 2.

5. The notification means: acquires monitoring target image information which is information of an image indicating the state of the monitoring target; notifies the prediction determination information including the acquired monitoring target image information. The monitoring system according to claim 1 or 2.

6. A monitoring program for causing a monitoring system for monitoring a monitoring target within a monitoring environment to execute, causing a computer to: act as first acquisition means for acquiring monitoring target state information indicating the state of the monitoring target; second acquisition means for acquiring monitoring target characteristic information indicating the characteristics of the monitoring target or / and monitoring environment characteristic information indicating the characteristics of the monitoring environment; Determination means for determining whether or not there is a sign that the monitoring target is in an abnormal state based on the monitoring target state information acquired by the first acquisition means and the monitoring target characteristic information and / or the monitoring environment characteristic information acquired by the second acquisition means; Notification means for notifying sign determination information indicating the determination result of the determination means; A monitoring program for causing the above to function.

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