JPH05282580A - System for monitoring life check - Google Patents

Abstract

PURPOSE:To provide a life check monitoring system where the occurrence of an abnormal state is rapidly and scuruplously monitored without erroneous information. CONSTITUTION:A monitoring device 1-1 is arranged in a monitoring area 1, connected to a passive sensor 1-2, a magnet sensor 1-3, an absence information switch 1-7 and a clear switch 1-8 and constituted of a data processing part 1-1-1, interfaces 1-1-2 to 1-1-4, a buzzer 1-1-5 and an output terminal 1-1-6 so as to be connected to a monitoring center 2 through a cable or a communication line. The non-movement time of a person to be monitored is counted, counted time is compared with set time which is weighted at every time period and the abnormality of the person to be monitored is decided. Abnormality is also judged by environment conditions from the output of an illuminance sensor, a video sensor, an acoustic sensor, etc.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a life check monitoring system for monitoring the daily life of a person to be monitored such as an elderly person living alone and notifying the monitoring center of the abnormality when an abnormal situation occurs. ..

[0002]

2. Description of the Related Art Conventionally, in this type of monitoring system, a sensor for monitoring the movement of the person being monitored is provided in the house, and the movement of the person being monitored is monitored for a fixed time (for example, 12 hours, 16 hours, or 24 hours). Then, if there is no movement of the person being monitored during that time, it is determined that an abnormal situation has occurred, and an alarm is issued to the monitoring center.

As a method of monitoring the movement of the person to be monitored, a passive sensor (that catches infrared rays emitted by a person is detected in a ceiling of a house, such as a toilet, a washroom, a bathroom, or a entrance, where the house frequently passes. , A sensor that monitors the passage of a person) is installed and the movement of a person is caught there.

Other methods, which are few in number, are to be monitored by attaching a magnetic sensor on the toilet door and checking whether the toilet is opened or whether the amount of water used is checked and whether water is used. There is a way to monitor the movement of people.

[0005]

However, in the conventional monitoring method, the following is a method in which the movement of the person being monitored is simply monitored for a certain period of time and an alarm is given if the person being monitored does not move during that period. There are major drawbacks that cannot be avoided.

(1) When the person to be monitored falls, the monitoring time interval must be set short in order to detect the person as soon as possible, but this causes a problem that false alarms frequently occur. That is, the time during which the person to be monitored does not move (hereinafter referred to as “immobility time”) varies depending on the day or the time zone is daytime or nighttime, depends on the state at that time, individual differences, etc. and cannot be determined unconditionally. Therefore, if the monitoring time is shortened as described above, the probability of giving a false alarm increases.

(2) Considering the above, in order to avoid false alarms as possible, the monitoring time interval is set to a relatively long time, for example, 1
If you set it to 2 hours or 24 hours, you may die during that time, and in fact, it may not function as a life monitoring for rescue because it functions as a prevention of long time after death. Many.

(3) Further, the signal sent to the monitoring center (nursing center, district welfare center, etc.) is only an alarm and has a small amount of information, and there is no information indicating an intermediate level. It is not possible to make a detailed judgment as to what extent it is or a false alarm.

The present invention has been made in view of the above points, and provides a life check monitoring system which eliminates the above problems and is capable of promptly monitoring the occurrence of an accurate and fine-tuned abnormal situation without false alarms. The purpose is to

[0010]

In order to solve the above problems, the present invention provides a monitoring sensor for monitoring the movement of a monitored person in a monitoring area, and monitors the movement of the monitored person from the output of the monitoring sensor, When it is determined that an abnormality has occurred in the person being monitored, in the life check monitoring method that includes a monitoring unit that notifies the monitoring center, the monitoring unit uses a monitoring time period table weighted from the importance of monitoring for each time period. The monitoring center is provided when the immobility time of the monitored person detected from the output of the monitoring sensor is weighted for each time zone by the monitoring time zone table, and the total weighted immobility time reaches a preset value. It is characterized by reporting to.

The monitoring means has a plurality of immovable time zone patterns for judging that the person being monitored is abnormal, and the immobility time of the person being monitored detected from the output of the monitoring sensor is one of the immovable time zone patterns. It is characterized by notifying the monitoring center when it exceeds the fixed time zone.

The monitoring sensor is a situation detecting means for detecting a plurality of surrounding situations surrounding a person to be monitored, and the monitoring means judges an abnormality from outputs of the plurality of situation detecting means and their time zones. To do.

The above-mentioned monitoring means comprises at least a preliminary warning means to be issued to the person to be monitored and a main warning means to notify the monitoring center. When it is judged that there is an abnormality, the preliminary warning means first gives an alarm to the person to be monitored. The present invention is characterized in that the alarm is issued and the alarm is sent to the monitoring center by the alarm means according to the response or reaction situation of the person to be monitored.

The monitoring means has means for judging the abnormality of the person to be monitored as an abnormality degree according to the degree of abnormality, and notifies the monitoring center of this abnormality degree.

[0015]

In the present invention, since the abnormality is judged by the total of the immovable time weighted as described above, the time to judge the abnormality is shorter in the time zone with a larger weighting coefficient than in the conventional single total time monitoring. Therefore, in a time period when the weighting factor is small, the time taken to determine an abnormality is long, so that monitoring can be performed that suits the life of the person being monitored.

Further, a plurality of immovable time zone patterns for judging abnormality of the person being monitored are provided, and the immobility time of the person being monitored detected from the output of the monitoring sensor is the immobility time of any of the immobility time zone patterns. Since the abnormality is judged depending on whether or not the belt is crossed, it is possible to make a finer judgment as compared with the conventional monitoring method.

Further, by judging the abnormality from the outputs of the plurality of ambient condition detecting means and their time zones, it becomes possible to comprehensively monitor the life of the person to be monitored and to accurately monitor the abnormality.

In addition, since the alarm is first issued to the person to be monitored by the preliminary alarm means and the alarm is sent to the monitoring center by the alarm means depending on the response or reaction situation of the person to be monitored, the number of false alarms is reduced. Become.

Further, by notifying the abnormality of the person to be monitored with the abnormality degree according to the abnormality degree, the center can accurately judge the degree of abnormality, so that the monitoring center can take a system corresponding thereto. ..

[0020]

Embodiments of the present invention will be described below with reference to the drawings. [Embodiment 1] FIG. 1 is a block diagram showing the configuration of a life check monitoring apparatus to which the life check monitoring method of the present invention according to claim 1 is applied. In the life check monitoring apparatus, the monitoring apparatus 1-1 is installed in the monitoring area 1, and the passive sensor 1-2, the magnet sensor 1-3, the absence information switch 1-7, and the clear switch 1-8 are connected thereto. .. The monitoring device 1-1 includes a data processing unit 1-1-1, interfaces 1-1-2, 1-1-3, 1-1-4, a buzzer 1-1-5, and an output terminal 1-. 1 to 6 and is connected to the monitoring center 2 through a cable or a communication line.

Data processing unit 1-1-1 of the monitoring device 1-1
Then, a CPU and a memory are provided, and the entire device is controlled by a program. The passive sensor 1-2 is a sensor that detects human movement with infrared rays, and the magnet sensor 1-3 is a sensor that operates when the toilet or other door is closed and outputs a signal. Any of these sensors may be used as long as it can detect other mat switches and the presence / absence of use of water, and outputs a signal for checking the movement of a person.

The absence information switch 1-7 is an input switch for interrupting the life check monitoring when absent, and the clear switch 1-8 is an input switch for stopping a preliminary alarm (described later). This device uses a buzzer sound, voice, etc. to confirm the situation at the preliminary warning stage.
At least when the monitored person is actuated to induce movement, and when the monitored person senses that the monitored person stops the buzzer sound or takes some action (for example, with the passive sensor 1-2). (Sensing), it is determined that it is not an emergency and the monitoring device 1-1 cancels the preliminary alarm for the person to be monitored and does not output it to the monitoring center. The clear switch 1-8 is an input switch therefor. The connection between the monitoring center 2 and the monitoring device 1-1 is made through a cable or a communication line from the output terminal 1-1-6.

A specific example of detailed monitoring and detailed output performed by the data processing unit 1-1-1 in the life check monitoring apparatus having the configuration shown in FIG. 1 will be described. FIG. 2 is a diagram showing an example in which each time zone is weighted according to the importance of monitoring. This weighting takes into account the degree of the monitored person's activity during the relevant time zone, the probability that an abnormality is considered to have occurred when the monitored person is inactive during this time, etc. Weighting according to

In FIG. 2, weights corresponding to the importance of monitoring in each time zone are set as indicated by the hatched lines in the figure. For example, at 5 am to 7 pm, which is the waking time of the monitored person, and 21:00 pm to 2 pm, which is the sleeping time, the monitored person does not act during this time period because the monitored person has a very high rate of action for daily life. This means that there is a high probability that an abnormality will occur, so the weight for this time period is set to 1.0. Next, from 7:00 to 9:00, which is the breakfast time, from 12:00 to 1, which is the lunch time.
At 4 o'clock and 17:00 to 19:00, which is the dinner time, the weight of the monitored person is 0.
75, 9 o'clock to 12 o'clock, 14:00 to 17 and 19:00 to 2
The weight is set to 0.5 at 1 o'clock between meals because the ratio of the monitored person to behave for daily life is relatively low. Furthermore, from 23:00 to 5
The sleep time until time is a time period when the monitored person has the least activity, so the weight is set to 0.1. If there is no movement of the person being monitored during the predetermined time with such weighting, that is, within the predetermined area of the shaded area, it is considered that an abnormal situation has occurred and a limit immovable time is set as a reference for issuing an alarm. ..

The monitoring device 1-1 is always a passive sensor 1-
2. The movement of the person being monitored is monitored through the magnet sensor 1-2, and at the same time, the time (area) shaded in FIG. 2 is cumulatively calculated. When the movement of the monitored person is detected through the sensor, the time is returned to "0" and the cumulative calculation is performed again.

When the accumulated calculated time exceeds the set limit immovable time, it is considered that an abnormal situation has occurred and the buzzer -1
-1-5 is sounded, and if the monitored person stops the buzzer 1-1-5 with the clear switch 1-8, there is no abnormality and the monitoring center 2 is not notified. If the buzzer-1-1-5 is not stopped, this alarm is issued to the monitoring center 2 to prompt the necessary measures.

As described above, in the daytime, the weighting coefficient is set to a large value in accordance with the possibility of the activity, so that the time for judging an abnormality is apparently much shorter, and the early detection of the abnormality is correspondingly short. It will be possible. Further, since the weighting coefficient is set to be small for the bedtime hours at midnight, the time for judging abnormal is apparently long so as to cover the bedtime hours. Therefore, compared with the conventional single total time monitoring, it is possible to prevent a false alarm due to sleeping and to perform a detailed life check monitoring in accordance with the rhythm of the monitored person's life.

There is also a method of adopting a learning function as a method of determining the limit immovable time, but details thereof will be omitted.

[Embodiment 2] The hardware configuration of the life check monitoring to which the life check monitoring method of the present invention is applied is the same as that of FIG. The life check monitoring method of the present invention does not simply indicate the immobility time by time, but the pattern of the time zone in which it is considered that an abnormal situation may occur if the immobility time continues for each time zone. Is set in the data processing unit 1-1-1, and the occurrence of an abnormal situation is judged by comparing with the immobility time of the monitored person. FIG. 3 shows an example of a pattern in the fixed time zone. The wavy line of each pattern is an example of a pattern in which an abnormal situation seems to have occurred if the immobility time continues any longer.

In FIG. 3, nine immovable time zone patterns 1 to 9 are determined to be abnormal when immobility continues. That is, from 5:00 to 7:00, from 7:00 to 12:00, from 9:00 to 14:00, from 12:00 to 17:00, from 14:00 to 19:00, from 17:00 to
Nine immovable time period patterns of 21:00, 19:00 to 23:00 and 23:00 to 7:00 are provided. The monitoring device 1-1 constantly monitors the movement of the person to be monitored through the passive sensor 1-2 and the magnet sensor 1-3, and counts the time since the last movement is detected, that is, the immobile time, and Compare with the fixed time zone of the pattern at that time. If the immobility time of the monitored person exceeds the immobility time zone of the pattern shown in Fig. 3, it is considered that an abnormal situation may occur, and the buzzer-1-1.
Sounds -5 to prompt the monitoring center 2 to issue this alarm and take necessary measures.

There is also a method of adopting a learning function as a method for determining this pattern, but the details will be omitted.

As described above, since the abnormality is judged according to the pattern of the immobility time zone at each time, all immobility time patterns judged to be abnormal are made in accordance with the daily life of the person being monitored, Since the detected immobility time is judged by the specific individual immobility time period pattern, compared to the conventional single total time monitoring, a detailed life check that matches the daily life of the person being monitored. Monitoring is possible, and early detection of abnormalities and false alarms can be prevented.

[Third Embodiment] FIG. 4 is a block diagram showing the arrangement of a life check monitoring apparatus to which the life check monitoring method according to the present invention is applied. In FIG.
Since the parts denoted by the same reference numerals as those in FIG. 1 indicate the same or corresponding parts, the description thereof will be omitted. The life check monitoring device of FIG. 4 is the same as the monitoring device of FIG.
-5 and the acoustic sensor 1-6 are added to the hard configuration.

The illuminance sensor 1-4 is a sensor for sensing the brightness of the monitoring area 1. The image sensor 1-5 is a sensor that detects the movement of the person being monitored, and an image tube or the like is used. The image sensor 1-5 is installed at a place often used by the person being monitored. Acoustic sensor 1
-6 uses a microphone or the like, and senses the object sound in the monitoring area 1.

The abnormality of the person being monitored is judged from the surrounding conditions surrounding the person, and the information includes the illuminance sensor 1
-4 from the illuminance of the monitoring area 1, the image sensor 1-5 from the change of the image (visible light or infrared), the acoustic sensor 1
Input the volume from -6 and perform fuzzy inference.

As shown in FIG. 5, the target situations are mainly (A) morning situation (patterns 1 and 2 as the immobility time pattern) and (B) evening situation (immobility time pattern). Patterns 5, 6, and 7) as patterns, and (C) the situation before dawn (pattern 8 as the dead time pattern,
9).

As fuzzy inference, first, a fuzzy rule is created for each situation. Rule 1, It's strange when the room is dark in the morning. Rule 2, It's strange that there is no sound in the room in the morning. It's strange that there is no change in the image at the time of rule 3, morning. Rule 4, funny at night when the room is dark. Rule 5, it is strange that there is no change in the image in the evening. Rule 6, it's funny that the room is bright at dawn. Rule 7, it is strange that the sound is loud at dawn. Rule 8, it is strange that there is no change in the image at dawn.

A method of obtaining the abnormality degree from the above rule will be described. Although there are various methods of inference, here, the respective barycenters of the illuminance, the sound volume, and the change amount of the image are added to obtain the center of gravity thereof. FIG. 6 is a diagram showing an example in which the degree of abnormality is obtained from the rules 1, 2, and 3 at dawn. A fuzzy set of values such as dark illuminance, low volume, and video with little change is considered in advance for each rule, the respective membership functions are determined, and the anomaly degree is calculated from the membership function values on the right side. An anomaly degree function is calculated. The value of a small change image may be input through a video tube and internally processed to determine the degree of change. In brief, an infrared passive sensor may be used to receive a signal (output) generated each time a change in an image, that is, an object moves, and to judge by the amount of the signal. Explaining the rule 1 as an example, as shown in FIG. 6A, the illuminance of the monitored area 1 is detected by the illuminance sensor 1-4, and the value is obtained from the membership function. Next, the abnormality degree p ₁ is obtained from the abnormality degree function. Similarly, the abnormality degree p ₂ is obtained from the rule ₂ and the abnormality degree p ₃ is obtained from the rule ₃ .

Weighting factors w ₁ , w ₂ , w for each abnormality degree
FIG. 6 (d) is a diagram in which ₃ is multiplied and overlapped. From this, the following equation q ₁ = (s ₁ × w ₁ × p ₁ + s ₂ × w ₂ × p ₂ + s ₃ × w ₃ × p ₃ ) / (s ₁ × w ₁ + s ₂ ×
w ₂ + s ₃ × w ₃ ) is used to obtain the abnormality degree q ₁ in the morning.

Similarly, FIG. 7 is a diagram showing an example in which the degree of abnormality is calculated from the evening rules 4 and 5. The membership function and the abnormality degree function are set in advance corresponding to each rule. Explaining the rule 4 as an example, as shown in FIG. 7F, the illuminance of the monitored area 1 is detected by the illuminance sensor 1-4, and the value is obtained from the membership function. Next, the abnormality degree p ₄ is obtained from the abnormality degree function. Similarly, the degree of abnormality p _{5 is} calculated from the rule ₅ .

FIG. 7 (h) is a diagram obtained by multiplying the respective abnormalities by the weighting factors w ₄ and w ₅ . From this, the degree of abnormality q ₂ at the evening is calculated by the following equation q ₂ = (s ₄ × w ₄ × p ₄ + s ₅ × w ₅ × p ₅ ) / (s ₄ × w ₄ + s ₅ × w ₅ ). ..

Similarly, FIG. 6 shows the rule 6 at the unclear time,
It is a figure which shows the example which calculated | required the abnormal degree from 7 and 8. The membership function and the abnormality degree function are set in advance corresponding to each rule. Explaining the rule 6 as an example, as shown in FIG. 8 (j), the illuminance of the monitored area 1 is detected by the illuminance sensor 1-4, and the value is obtained from the membership function. Next, the abnormality degree p ₆ is obtained from the abnormality degree function. In the same way, rules 7, 8
The abnormalities p ₇ and p _{8 are obtained from the above} .

Weighting factors w ₆ , w ₇ , w for each degree of abnormality
Figure 8 (m) is a figure obtained by multiplying by ₈ . From this, the following equation q _{3 =} (s ₆ × w ₆ × p ₆ + s ₇ × w ₇ × p ₇ + s ₈ × w ₈ × p ₈ ) / (s ₆ × w ₆ + s ₇ ×
w ₇ + s ₈ × w ₈ ), and find q ₃ at dawn.

It is inferred that the amount of change in the image can be measured with visible light or an infrared image in a dark place.

As a result, the degree of abnormality can be notified to the monitoring center 2 as a numerical value from the output terminal 1-1-8 of FIG. In the monitoring center 2, the abnormality degree q ₁ of each scene,
monitors the q _2, q _3, take the necessary actions in the human overall judgment.

Since a plurality of surrounding conditions surrounding the monitored person are detected and an abnormality is judged from the plurality of surrounding conditions and their time zones as described above, for example, the following time zones, 1)
Time zones that change significantly depending on living conditions, for example, hours when you wake up or go to bed {(A), (C) in Fig. 5) 2) Time zones when surrounding conditions change significantly, for example, time zones that become bright or dark {Figure In (5), (A), (B)} is very effective. For example, in 1) above, there is a long sleeping time zone before and after that, so the time to judge as abnormal by the time monitoring becomes long,
Although the detection of anomalies may be delayed in some cases, this surrounding condition monitoring makes it possible to quickly find anomalies in terms of the situation. As for 2), situation monitoring is effective in terms of clarity, etc., and abnormalities can be detected quickly, and comprehensive life check monitoring that matches the actual situation of the life of the person being monitored becomes possible.

[Embodiment 4] The hardware configuration of the life check monitoring to which the life check monitoring method of the invention described in claim 4 is applied is the same as that of FIG. In FIG. 1, when the life check monitoring device 1 senses an abnormal state of the person being monitored as shown in the first and second embodiments, the buzzer 1-1-5 is sounded here to the person being monitored. Seeking some kind of response or reaction. If the monitored person stops the buzzer 1-1-5 with the clear switch 1-8 in response to the preliminary alarm, it is considered that there is no abnormality and the monitoring center 2 is not notified. Instead of stopping the buzzer sound, when the passive sensor 1-2 moves in the room and the passive sensor 1-2 senses it, it may be considered that there is no abnormality and the monitoring center 2 may not be notified. In this case, a signal is received from the passive sensor 1-2, it is determined that there is movement, and the alarm is cleared as well. Further, the duration of the preliminary alarm is set in advance in the data processing section 1-1-1, and even if the duration is exceeded, the monitored person will be buzzer-1-1-5.
If the monitoring is not stopped, or if there is no movement as sensed by the passive sensor 1-2 as described above, the monitoring device 1-1 notifies the monitoring center 2 as an alarm and prompts the administrator to perform appropriate processing. ..

In the conventional life check monitoring, a so-called passive monitoring method that outputs an alarm as soon as an alarm is issued by the alarm of the corresponding sensor, etc. is a so-called passive monitoring method, whereas in the monitoring method of this embodiment, an alarm is issued. When the condition is reached, the checking operation is performed once on the site equipment side. This alarm is output only when it is not confirmed as a false alarm. It is, so to speak, an active monitoring system with a check, so that false alarms can be prevented by itself.

[Embodiment 5] The hardware configuration of the life check monitoring to which the life check monitoring method of the invention described in claim 5 is applied is the same as that of FIG. In FIG. 4, as shown in the third embodiment, the life check monitoring device 1 passes through the illuminance sensor 1-4, the image sensor 1-5, and the acoustic sensor 1-6 to determine the situation of the surveillance area 1 at dawn and in the evening. , Monitor the situation at dawn. The monitoring device 1 performs fuzzy inference according to a rule (for example, the rule 1 to rule 6) indicating an abnormality, and determines the abnormality of the person to be monitored according to the degree of abnormality (for example, the abnormality degree q ₁ , Q ₂ , q ₃ ).
The calculated abnormality degree is notified to the monitoring center 2 through the output terminal 1-1-6. In the monitoring center 2, since the administrator looks at this abnormality level to deal with it, it is possible to know the degree of abnormality of the person being monitored by a numerical value, unlike the conventional case where only the abnormality alarm is present or absent. Judgment and urgency can be judged.

In the conventional life check monitoring system, the alarm output is "alarm present", and nothing else is known, whereas in the present embodiment, "alarm is present" and the degree of abnormality thereof. In order to send information, the administrator must make sure that the
Judgment of false alarms, judgment of urgency, etc. will be facilitated, and more detailed management and appropriate response will be possible.

[0051]

As described above in detail, according to the invention described in each claim of the present application, the following effects are expected. (1) According to the first aspect of the present invention, since monitoring is performed by weighting the importance of monitoring for each time period, compared to the conventional single total time monitoring, there is a large probability that an abnormality will occur even in a short immovable time. The obi has a short monitoring time interval, and the monitoring time interval becomes longer in a time zone where the probability of occurrence of an abnormality is small even during a long immobility time such as midnight, so a life check that matches the life status of the person being monitored. Monitoring is possible and false alarms are reduced.

(2) According to the second aspect of the invention, since the judgment is made according to the immobile time zone pattern at each time, an abnormality is judged. Therefore, the immobile time zone pattern is used in the daily life of the person being monitored. By setting in accordance with this, it is possible to perform detailed life check monitoring according to the daily life conditions of the monitored person and reduce false alarms.

(3) According to the third aspect of the present invention, a plurality of surrounding conditions surrounding the person to be monitored are detected and an abnormality is judged from the plurality of surrounding conditions and their time zones. It is possible to monitor life checks according to the actual conditions of daily life.

(4) According to the fourth aspect of the present invention, at least the preliminary alarm monitoring is issued to at least the monitored person, and this alarm is issued according to the situation of the monitored person's response to the preliminary alarm. It is possible to prevent frequent false alarms.

(5) According to the invention described in claim 5, since the abnormality of the person being monitored is reported as an abnormality degree according to the degree of abnormality, the administrator is different from the presence or absence of the abnormality alarm as in the conventional case. Appropriate measures can be taken according to the degree of abnormality.

[Brief description of drawings]

FIG. 1 is a configuration diagram showing an embodiment of a life check monitoring system of the present invention according to claims 1 and 2.

FIG. 2 is a diagram showing an example of weighting for each time period.

FIG. 3 is a diagram showing an example of a pattern in a fixed time zone.

FIG. 4 is a configuration diagram showing an embodiment of a life check monitoring system of the present invention according to claim 3;

FIG. 5 is a diagram showing an example of a pattern of monitoring status.

FIG. 6 is a diagram for explaining an example in which the degree of abnormality is obtained from the rules in the morning.

FIG. 7 is a diagram for explaining an example in which the degree of abnormality is obtained from the rules at the evening time.

FIG. 8 is a diagram for explaining an example in which the degree of abnormality is obtained from a rule at unclear time.

[Explanation of symbols]

 1 Monitoring Area 1-1 Monitoring Device 1-1-1 Data Processing Unit 1-1-2 Interface 1-1-3 Interface 1-1-4 Interface 1-1-5 Buzzer 1 -1-6 Output terminal 1-2 Passive sensor 1-3 Magnet sensor 1-4 Illuminance sensor 1-5 Video sensor 1-6 Acoustic sensor 1-7 Absence information switch 1-8 Clear switch 2 Monitoring center

Claims (5)

[Claims] 1. When a monitoring sensor for monitoring the movement of a monitored person in a monitoring area is provided, the movement of the monitored person is monitored from the output of the monitoring sensor, and it is determined that an abnormality has occurred in the monitored person. In the life check monitoring method including a monitoring means for notifying to a monitoring center, the monitoring means has a monitoring time slot table weighted from the importance of monitoring for each time slot, and detects from the output of the monitoring sensor. A life check characterized in that the immobility time of the person to be monitored is weighted for each time zone by the monitoring time zone table, and when the total weighted immobility time reaches a preset value, the monitoring center is notified. Monitoring method. 2. When a monitoring sensor for monitoring the movement of the monitored person in the monitoring area is provided, the movement of the monitored person is monitored from the output of the monitoring sensor, and it is determined that an abnormality has occurred in the monitored person. In the life check monitoring method including a monitoring means for notifying the monitoring center, the monitoring means has a plurality of immovable time zones as patterns for judging an abnormality of the person being monitored, and detects from the output of the monitoring sensor. A life check monitoring method characterized in that when the immobility time of the person being monitored exceeds any immobility time zone of the immobility time zone pattern, a notification is sent to the surveillance center. 3. When a monitoring sensor for monitoring the movement of the monitored person in the monitoring area is provided, the movement of the monitored person is monitored from the output of the monitoring sensor, and it is determined that an abnormality has occurred in the monitored person. In the life check monitoring method, the monitoring sensor is a situation detecting means for detecting a plurality of surrounding situations surrounding the person to be monitored, and the monitoring means is a monitoring means for the plurality of situation detecting means. A life check monitoring method characterized by judging an abnormality from the output and its time zone. 4. When a monitoring sensor for monitoring the movement of the monitored person in the monitoring area is provided, the movement of the monitored person is monitored from the output of the monitoring sensor, and it is determined that an abnormality has occurred in the monitored person. In the life check monitoring method, a monitoring means for notifying a monitoring center is provided, wherein the monitoring means includes at least a preliminary warning means for issuing a person to be monitored and a main warning means for notifying the monitoring center. However, if it is judged to be abnormal, a life check characterized by first issuing a warning to the person being monitored by the preliminary warning means, and notifying the monitoring center by this warning means depending on the response or reaction situation of the person being monitored. Monitoring method. 5. When a monitoring sensor for monitoring the movement of the monitored person in the monitoring area is provided, the movement of the monitored person is monitored from the output of the monitoring sensor, and it is determined that an abnormality has occurred in the monitored person. In the life check monitoring method, the monitoring means is provided with a monitoring means for notifying the monitoring center, and the monitoring means has means for judging the abnormality of the person being monitored as an abnormality degree according to the degree of abnormality, A life check monitoring method characterized by notifying the center of this abnormality level.