Monitoring support method, system and program

Abstract

To provide a watching support method that enables a plurality of watchers to quickly and efficiently grasp changes in the state of a person being watched over, and enables the watchers to communicate with each other quickly and with low burden. The system associates the sensor identification information obtained by the watcher's terminal device reading a code associated with the monitoring sensor with the watcher's SNS ID. The system determines the state of the person being watched based on measurement data obtained from the monitoring sensor installed in the person's home, generates a watched person state notification message based on a learning model, and pushes the message to the SNS server together with the watcher's SNS ID.

Description

[Technical Field]

[0001] The present invention relates to a monitoring support method, a system, and a method for monitoring an elderly person or the like who is indoors, which are used by family members to monitor such an elderly person or the like. [Background technology]

[0002] There are monitoring services that help parents living alone to keep an eye on their children and other relatives. Conventional monitoring services monitor the indoor conditions of parents and other people and send monitoring notifications indicating the conditions to multiple children. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2025-042913 Summary of the Invention [Problem to be solved by the invention]

[0004] However, with conventional monitoring services, notifications are sent to multiple children, so the children who receive the notifications have to contact each other individually to find out who will respond, which takes time and effort. In addition, the parties who receive the notification must contact the monitoring company individually, which is time-consuming and requires time and effort. There are problems with delayed communication and difficulty in responding promptly and appropriately. Furthermore, since it is not clear who will be responsible for responding to the notification, there are concerns that a sense of responsibility will be weakened and responses will be delayed.

[0005] The present invention has been made in consideration of the problems of the conventional technology described above, and aims to provide a monitoring support method, system, and program that allows multiple monitors to quickly and efficiently grasp changes in the condition of the person being monitored, and that allows interactions between monitors to be quick and low-burden. Another object of the present invention is to provide a watching support method, system and program that enable smooth communication between the person being watched and the watcher. [Means for solving the problem]

[0006] The present invention is a monitoring support method by a monitoring support provider using a monitoring sensor installed in the home of a person being watched and an SNS service, the method comprising a first step of receiving, from an SNS server providing the SNS service, sensor identification information of the monitoring sensor and a watcher SNSID, which is the watcher's identification information in the SNS service, obtained by reading a code associated with the monitoring sensor by a terminal device of the watcher; a second step of storing the sensor identification information received in the first step and the watcher SNSID in memory in association with each other; This is a monitoring support method performed by a monitoring server, which includes a third step of receiving measurement data from the monitoring sensor installed in the home; a fourth step of judging the condition of the monitored person based on the measurement data received in the third step and using a first learning model to determine whether to send a monitored person status notification message; a fifth step of generating the monitored person status notification message if it is determined in the fourth step that a message should be sent; and a sixth step of push-sending the monitored person status notification message to the SNS server together with the monitoring person SNS ID stored in memory.

[0007] Preferably, the watching server further executes a seventh step of re-learning the first learning model based on evaluation information that evaluates the appropriateness of the watched-over person condition notification message.

[0008] Preferably, an eighth step of generating the evaluation information based on information input by a watcher who has received the watched person status notification message. The monitoring server further executes the above.

[0009] Preferably, the evaluation information is information relating to at least one of the appropriateness of the content of the watched-over person status notification message, the appropriateness of the transmission timing, and the reaction of the watcher.

[0010] Preferably, the fifth step generates the monitored person status notification message based on a second learning model.

[0011] Preferably, a ninth step of storing and accumulating in memory status information of the monitored person, which indicates the status of the monitored person determined based on the measurement data, and a tenth step of performing processing to provide the monitored person status information accumulated in memory in the ninth step to an external organization. The monitoring server further executes the above.

[0012] Preferably, in the third step, the measurement data is received from a monitoring sensor without going through the SNS server.

[0013] Preferably, the watching support business operator sets the function of the first step in the SNS server.

[0014] Preferably, the terminal device of the watcher receives setting information from the SNS server that specifies the operation of the watch server specified by the terminal device of the watcher, and specifies the processing of the fifth step or the sixth step based on the setting information.

[0015] The present invention is a monitoring support system by a monitoring sensor installed in the home of a person being watched and a monitoring support provider using an SNS service, and includes a first means for receiving, from an SNS server providing the SNS service, sensor identification information of the monitoring sensor and a watcher SNS ID, which is identification information of the watcher in the SNS service, obtained by a terminal device of the watcher reading a code associated with the monitoring sensor; a second means for storing the sensor identification information received by the first means and the watcher SNS ID in memory in association with each other; This is a monitoring support system having a third means for receiving measurement data from the monitoring sensor installed in the target person's home, a fourth means for judging the condition of the monitored target person based on the measurement data received by the third means and determining using a first learning model whether to send a monitored target person status notification message, a fifth means for generating the monitored target person status notification message when the fourth means determines to send the message, and a sixth means for push-sending the monitored target person status notification message to the SNS server together with the monitoring target person SNS ID stored in memory.

[0016] The present invention is a program used for a monitoring service that uses a monitoring sensor installed in the home of a person being monitored and an SNS service, and includes a first step of receiving, from an SNS server that provides the SNS service, sensor identification information of the monitoring sensor and a watcher SNS ID, which is the watcher's identification information in the SNS service, obtained by a terminal device of the watcher reading a code associated with the monitoring sensor; a second step of storing the sensor identification information received in the first step and the watcher SNS ID in memory in association with each other; This is a program that causes a monitoring server to execute the following steps: a third step of receiving measurement data from the monitoring sensor installed in the home; a fourth step of judging the condition of the monitored person based on the measurement data received in the third step and using a first learning model to determine whether or not to send a monitored person status notification message; a fifth step of generating the monitored person status notification message if it is determined in the fourth step that a message should be sent; and a sixth step of push-sending the monitored person status notification message to the SNS server together with the monitoring person SNS ID stored in memory. [Effects of the Invention]

[0017] According to the present invention, it is possible to provide a monitoring support method, system and program that allows multiple monitors to quickly and efficiently grasp changes in the condition of the person being monitored, and allows interactions between monitors to be quick and low-burden. The present invention can also provide a watching support method, system, and program that enable smooth communication between the person being watched and the watcher. [Brief explanation of the drawings]

[0018] [Figure 1] FIG. 1 is a network configuration diagram of a monitoring service system 1 according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram for explaining the concept and functions of the monitoring service system 1 shown in FIG. [Figure 3]FIG. 3 is a diagram for explaining the concept and functions of the monitoring service system 1 shown in FIG. [Figure 4] FIG. 4 is a diagram for explaining the concept and functions of the monitoring service system 1 shown in FIG. [Figure 5] FIG. 5 is a diagram for explaining the concept and functions of the monitoring service system 1 shown in FIG. [Figure 6] FIG. 6 is a flowchart for explaining the flow of the monitoring support provider before the start of the service. [Figure 7] FIG. 7 is a diagram for explaining the screen operation of the watcher terminal device 15. As shown in FIG. [Figure 8] FIG. 8 is a flowchart for explaining the flow of registering a watcher 5 using the watcher terminal device 15. [Figure 9] FIG. 9 is a flowchart for explaining the operation of transmitting the measurement data measured by the monitoring sensor 13 to the monitoring server 11. [Figure 10] FIG. 10 is a flowchart for explaining the watched person status notification operation. [Figure 11] FIG. 11 is a flowchart for explaining an inquiry operation from a watcher. [Figure 12] FIG. 12 is a flowchart for explaining a message transmission operation based on a schedule. [Figure 13] FIG. 13 is a flowchart for explaining the re-learning of the first learning model and the second learning model of this embodiment. [Figure 14] FIG. 14 is a flowchart for explaining the operation of providing watched over target person condition information and the like to an external organization as big data in this embodiment. [Figure 15] FIG. 15 is a functional block diagram of the watching server 11 shown in FIG. DETAILED DESCRIPTION OF THE INVENTION

[0019] Hereinafter, a monitoring service system according to an embodiment of the present invention will be described. FIG. 1 is a network configuration diagram of a monitoring service system 1 according to an embodiment of the present invention. As shown in FIG. 1, in a watching service system 1, for example, a watching server 11, a watching sensor 13, a watcher terminal device 15, and a watched person terminal device 17 communicate with each other via messenger or the like to provide a watching service. The watcher terminal device 15 is used by a watcher (for example, a child), and the watched person terminal device 17 is used by a watched person (for example, a parent). The service functions of the SNS server 21 are used to exchange messages. In addition, the monitoring service system 1 provides the big data obtained from the monitoring service to the external organization terminal device 41.

[0020] 2 to 5 are diagrams for explaining the concept and functions of the monitoring service system 1 shown in FIG. The monitoring service system 1 integrates communication methods. In other words, it centralizes communication with monitoring businesses and provides a platform that makes it easy for children to share information. This will improve the efficiency of supervision and reduce the burden on children.

[0021] In addition to the monitoring services described below, the monitoring service system 1 accumulates big data on the behavior of elderly people (conditions of the monitored person, etc.) obtained from the monitoring service, and uses this data for other services or to create new customers. This big data is also sold to external organizations. Furthermore, the watching server 11 determines whether or not to send a watched-over person status notification message and the contents of the message based on the learning model.

[0022] <Flow for monitoring support providers before starting service> FIG. 6 is a flowchart for explaining the flow of the monitoring support provider before the start of the service. Step ST11: The watching support business operator operates the watching server 11 or their own terminal device to access the SNS server 21 and register (obtain) a service account. The service account is an account for using the SNS function to provide a monitoring service to the watcher 5 and the like.

[0023] Step ST12: The watching support business operator operates the watching server 11 or their own terminal device to set the functions (operations) of the SNS server 21 for providing the watching service using the registered service account. For example, settings are made regarding operation screens to be displayed on the screens of the watcher terminal device 15 and the watched person terminal device 17 as shown in FIG. 7, and processing to be implemented in response to operations on the operation screens. 7, for example, a sensor registration button 51, a graph display button 53, and a setting button 55 are displayed as a rich menu on the operation screen. The watcher can set the service provided by the watching server 11 by specifying and operating the sensor registration button 51. For example, it is possible to set conditions such as the state of the person being watched over that will cause the watching server 11 to send a message. The setting is made from the watcher terminal device 15 to the watching server 11 via the SNS server 21. In this way, the watching server 11 can define (set) the operation of the SNS server 21 related to the watching service.

[0024] <Registration of Watcher 5> FIG. 8 is a flowchart for explaining the flow of registering a watcher 5 using the watcher terminal device 15. Each step will be explained. Step ST21: The watcher 5 receives the monitoring sensor 13 delivered by the monitoring support business 2.

[0025] Step ST22: The watcher 5 operates the watcher terminal device 15 to become friends with the watching support provider on the SNS service, and the SNS ID of the watcher 5 is registered in the watching server 11. For example, a friend can be registered by reading an optical code printed on the instruction manual for the monitoring sensor 13 with the camera of the monitor terminal device 15. Furthermore, the watcher 5 can use the watcher terminal device 15 to use the service of this embodiment provided by the watching support provider using the watching server 11 and the watcher terminal device 15.

[0026] Step ST23: The monitoring support business delivers the monitoring sensor 13 to the home or the like of the person watching 5 . The watcher 5 installs a watch sensor 13 in the home of the person being watched.

[0027] Step ST24: When the watcher 5 selects and operates the sensor registration button 51 shown in Figure X displayed on the screen of the watcher terminal device 15, the camera of the watcher terminal device 15 starts up and reads the optical mark attached to the watcher sensor 13. The optical mark indicates the sensor ID information of the monitoring sensor 13. The SNS server 21 acquires the read sensor ID.

[0028] Step ST25: The SNS server 21 associates the sensor ID acquired in step ST24 with the SNS ID of the watcher 5 and transmits them to the watching server 11.

[0029] Step ST26: The watching server 11 registers the watcher SNSID received in step ST25 in association with the sensor ID.

[0030] <Acquisition of measurement data> FIG. 9 is a flowchart for explaining the operation of transmitting the measurement data measured by the monitoring sensor 13 to the monitoring server 11. Step ST21: As will be described later, the monitoring sensor 13 measures carbon dioxide concentration data and human presence data in the room in which the monitoring sensor 13 is installed, and stores the data in memory.

[0031] When a predetermined condition is met, the monitoring sensor 13 transmits measurement data including carbon dioxide concentration data and human detection data to the monitoring server 11.

[0032] <Watched person status notification operation> FIG. 10 is a flowchart for explaining the watched person status notification operation. Step ST41: The watching server 11 receives the measurement data via the SNS server 21.

[0033] Step ST42: The watching server 11 stores the measurement data received in step ST41 in a memory.

[0034] Step ST43: The watching server 11 determines the state (status) of the person being watched over based on the measurement data read out from the memory. That is, the watching server 11 determines (judges) the state of the person being watched over who is in a room in the person being watched over's home based on the carbon dioxide concentration in the person being watched over contained in the measurement data and the detection result of the human sensor. Based on the measurement data, the monitoring server 11 determines whether the person being watched has woken up, gone to bed, when they moved around the room, gone out, etc. In addition to human presence, the monitoring server 11 also uses the carbon dioxide concentration to determine if the person's physical condition has worsened while sleeping.

[0035] Step ST44: The watching server 11 determines whether or not the message notification condition is met based on the determination result of step ST43. The monitoring server 11 determines whether the judgment result satisfies a predetermined condition, such as whether the monitored person does not wake up at a specified time, goes out and does not return home for a certain period of time, the human presence sensor does not detect a person for a certain period of time, or the carbon dioxide concentration satisfies a predetermined notification condition, or whether the judgment result satisfies a message notification condition. At this time, the watching server 11 determines whether or not the message notification condition is met based on the first learning model. The watching server 11 may input the determination result of step ST43 into the first learning model, and output a determination result indicating whether or not the first learning model satisfies the message notification condition. The first learning model is a learned model. The watching server 11 re-learns the first learning model based on the evaluation information that evaluates the appropriateness of the watched person condition notification message.

[0036] Step ST45: When the watching server 11 determines that the determination result in step ST44 satisfies the message notification condition, it generates a watched-over person status notification message according to the determination result in step ST44. For example, the watching server 11 generates a watched person status notification message indicating the behavior pattern of the watched person and advice on actions for the watcher based on the behavior pattern, based on the contents of the determination result. The watching server 11 may input the above-mentioned determination result into a second learning model, and the second learning model may output a watched person status notification message. The second learning model is a learned model. The watching server 11 re-learns the second learning model based on the evaluation information that evaluates the appropriateness of the watched person condition notification message.

[0037] Step ST46: The watching server 11 transmits the watched person status notification message generated in step ST45 to the watcher terminal device 15 via the SNS server 21.

[0038] <Inquiry from the guardian> FIG. 11 is a flowchart for explaining an inquiry operation from a watcher. Step ST51: When the watcher 5 has an inquiry to the watching server 11, he / she operates the watcher terminal device 15 to input an inquiry message into a message posting field of the SNS service provided by the SNS server 21. As a result, the inquiry message is sent to the SNS server 21.

[0039] Step ST52: The SNS server 21 transmits the inquiry message received in step ST41 to the watching server 11. The inquiry message may include, for example, "How is the person being watched over?", "What time did the person being watched over wake up?", "What time did the person being watched over go to bed?", "Is the person being watched over at home?", "What time did the person being watched over move around the room?", etc.

[0040] Step ST53: The watching server 11 generates a reply message based on the inquiry message received in step ST52, and transmits this to the SNS server 21. The response message may be generated by inputting the query message into a learning model. For example, the watching server 11 identifies the state of the person being watched over based on the measurement results of the watching sensor 13, and generates a response message indicating the state.

[0041] Furthermore, the watching server 11 may generate a reply message based on the trained model. For example, measurement data is input, and the output is used as a reply message indicating the state, and a learned model is used to generate a reply message.

[0042] Step ST54: The SNS server 21 transmits the reply message received in step ST43 to the watcher terminal device 15. The reply message may be sent only to the watcher terminal device 15 that sent the inquiry message, or may be sent to other watcher terminal devices 15 as well.

[0043] The above-described message exchange may be shared with watcher terminal devices 15 other than the watcher terminal device 15 that sent the inquiry message.

[0044] <Scheduled message sending> FIG. 12 is a flowchart for explaining a message transmission operation based on a schedule. Step ST61: The watching server 11 periodically reads out the schedule data from the memory. The schedule data includes personal schedules such as birthdays, anniversaries, and memorial service dates for the person being watched and the person watching.

[0045] Step ST62: The watching server 11 checks (determines) whether the conditions for sending a message about a personal schedule are met based on the schedule data read out in step ST61.

[0046] Step ST63: The watching server 11 creates a message according to the schedule. For example, a congratulatory message for a birthday or the like.

[0047] Step ST74: The watching server 11 transmits the message created in step ST63 to the SNS server 21, specifying the SNS ID of the destination, or targeting all friends. The SNS server 21 transmits the received message to the person being watched and the watcher via SNS.

[0048] <Retraining the learning model> FIG. 13 is a flowchart for explaining the re-learning of the first learning model and the second learning model of this embodiment. Step ST71: The watcher who receives the watched person status notification message from the watching server 11 transmits evaluation information regarding at least one of the appropriateness of the content of the message, the appropriateness of the transmission timing, and the reaction of the watcher to the watching server 11. The watching server 11 stores the received evaluation information in memory. At this time, after transmitting the watched person status notification message to the watcher terminal device 15, the watching server 11 displays a screen on the watcher terminal device 15 where the watcher can input an evaluation of the message. The screen allows the watcher to input information regarding at least one of the appropriateness of the content of the watched person status notification message, the appropriateness of the transmission timing, and the reaction of the watcher.

[0049] Step ST72: The watching server 11 stores the evaluation information received in step ST71 in a memory.

[0050] Step ST73: The watching server 11 re-learns the first learning model and the second learning model based on the evaluation information stored in the memory in step ST72, the corresponding watched person status notification message, the message transmission timing, and the message content. That is, the watching server 11 re-learns using the evaluation information, etc. as training data. Thereafter, the watching server 11 uses the first learning model and the second learning model after re-learning.

[0051] <Provision of big data> The following explains the operation of providing monitored subject status information, etc. to an external organization as big data. FIG. 14 is a flowchart for explaining the operation of providing watched over target person condition information and the like to an external organization as big data in this embodiment. Step ST81: The monitoring server 11 associates information related to the service, such as the monitored person status notification message sent to the monitoring terminal device 15 and evaluation information received from the monitoring terminal device 15, with the attribute information of the monitored person and the monitoring person, and stores this information in memory as big data.

[0052] Step ST82: When the watching server 11 satisfies a predetermined condition in response to a request from an external organization, it transmits the big data stored in step ST81 to the external organization terminal device 41.

[0053] Step ST83: The monitoring support provider 43 receives economic benefits from an external organization.

[0054] Each component will be described below. <Monitoring Server 11> FIG. 15 is a functional block diagram of the watching server 11 shown in FIG. As shown in FIG. 15, the watching server 11 includes, for example, a communication unit 75, an input unit 77, a memory 79, and a processing unit 81.

[0055] The communication unit 75 communicates with the monitoring sensor 13 and the SNS server 21. If necessary, it may communicate with the watcher terminal device 15 and the watched person terminal device 17. The input unit 77 is a terminal or the like for inputting data from the outside. The memory 79 stores a program PRG executed by the processing unit 81. The operation of the watching server 11 described in this embodiment is defined by the program PRG. The processing unit 81 executes the program PRG stored in the memory 79 to perform the above-described processing defined in this embodiment.

[0056] <SNSサーバ21> The SNS server 21 has the following functions. A message is sent simultaneously to the watcher terminal device 15 and the watched person terminal device 17. The SNS server 21 provides the watching support business (watching server 11) with a rich message function that creates interactive messages that combine images and buttons. The SNS server 21 has a function that allows users to easily add friends using a QR code (registered trademark) or a URL. The SNS server 21 has a function for analyzing the performance of an account, such as the message opening rate and the increase in the number of friends. The SNS server 21 has a function to create stamps exclusive to the brand and increase engagement with customers.

[0057] As described above, the watching service system 1 allows multiple watchers to quickly and efficiently grasp changes in the state of the person being watched over, and allows for quick and low-burden communication between watchers. Furthermore, the watching service system 1 allows smooth communication between the person being watched and the watcher. Furthermore, according to the watching service system 1, by setting the operation of the SNS server 21 from the watching server 11, the operation of the watching server 11 can be defined from the watcher terminal device 15 via the SNS server 21.

[0058] Monitoring Service System 1 is an IoT monitoring system with LTE that uses a combination of CO2 sensors and motion sensors to detect residents' behavioral patterns with high accuracy and quickly notifies them via social media messages or emails in the event of an abnormality. It does not require Wi-Fi or a dedicated app, making it easy for anyone to install and operate. Furthermore, its notification function, which combines accuracy and convenience, and its AI-based automatic learning approach enable "simple, accurate, and fast" monitoring. In other words, as shown in Figure 13, by retraining the first and second learning models, it is possible to send more appropriate notification messages about the status of the monitored person at the appropriate time. This increases the value of the service. The purpose of using a learning model (AI) to make judgments is not simply to automate manual settings, but rather to learn from long-term monitoring to determine that the lifestyle of the person being monitored is gradually changing, and to suggest recommended setting changes or even change the settings automatically. In addition, the monitoring service system 1 contributes to reassuring families in BtoC, and to solving real estate issues such as preventing properties from becoming haunted and reducing management burdens in BtoB.

[0059] Furthermore, the monitoring service system 1 stores the status of the person being monitored and their messages as big data, and by utilizing this data, it becomes possible to generate new revenues and business models. In other words, the accumulated behavioral data will be treated as big data and has the potential to be expanded in the future, with a view to its use in fields such as insurance, medical care, and welfare. By collecting this accumulated individual monitoring data (life cycle data), it becomes possible to treat data on the lives of the elderly as big data.

[0060] The present invention is not limited to the above-described embodiments. That is, those skilled in the art may make various modifications, combinations, subcombinations, and substitutions of the components of the above-described embodiments within the technical scope of the present invention or its equivalents. The above-described functions of the SNS server 21 are merely an example, and are not particularly limited as long as the system allows information from the watching server 11 to be shared among a plurality of watcher terminal devices 15 and watched-over person terminal devices 17 . Furthermore, the function of the SNS server 21 may be provided in the watching server 11 . Also, the watched person terminal device 17 may not be used, and only the watcher terminal device 15 may be used. Furthermore, the type of monitoring sensor 13 is not limited to the above.

[0061] The watching server 11 can ascertain the location where the watching sensor 13 is installed (the residential area of ​​the person being watched) by identifying the wireless antenna with which the watching sensor 13 is communicating. The watching server 11 may provide services for the watcher or the person being watched based on the location information. Furthermore, when considering AI judgments and the use of big data, the data tag "region" is important. By further utilizing this, for example, if the weather forecast predicts that the temperature in a certain area will rise significantly today, the weather forecast API can be used to send warnings such as "Turn on the air conditioner" to those monitoring devices in the area in the morning in areas where the temperature is high and heatstroke is likely to occur. This will enable social media pushes to these areas.

[0062] Furthermore, the watcher terminal device 15 and the unwatched person terminal device 17 may be smart speakers. In addition, by using the bot (automatic response function) of the SNS server 21, in addition to push notifications, it is also possible to have AI make a judgment based on data and respond with a response such as "Inquire about the current situation" to "We assume you are at home now" or "You have been away since XX:XX, and have been away for XX hours."

[0063] In addition, the monitoring server 11 may obtain useful information from an external organization server based on the information obtained using the above processing, and provide this to the monitoring person terminal device 15 and the unmonitored person terminal device 17 via the SNS server 21. [Industrial Applicability]

[0064] The present invention is applicable to a monitoring support system. [Explanation of symbols]

[0065] 1. Monitoring service system 11...Monitoring server 13...Monitoring sensor 15...Guardian terminal device 16...Monitored person terminal device

Claims

1. A monitoring support method by a monitoring support provider using a monitoring sensor installed in the home of a monitored person and an SNS service, a first step of receiving, from an SNS server providing the SNS service, sensor identification information of the monitoring sensor obtained by a terminal device of a watcher reading a code associated with the monitoring sensor and a watcher SNSID, which is the watcher's identification information in the SNS service; a second step of storing the sensor identification information received in the first step and the watcher SNSID in a memory in association with each other; A third step of receiving measurement data from the monitoring sensor installed in the home of the person being monitored; A fourth step of determining the state of the person being watched based on the measurement data received in the third step and determining whether to send a watched person state notification message using a first learning model; a fifth step of generating the monitored person status notification message when it is determined in the fourth step that the monitored person status notification message should be transmitted; a sixth step of pushing the watched person status notification message to the SNS server together with the watching person SNS ID stored in a memory; A monitoring support method executed by a monitoring server.

2. A seventh step of re-learning the first learning model based on evaluation information that evaluates the appropriateness of the monitored person status notification message. The monitoring server further executes The monitoring support method according to claim 1 .

3. an eighth step of generating the evaluation information based on information input by the watcher who received the watched person status notification message; The monitoring server further executes The monitoring support method according to claim 2.

4. The evaluation information is information regarding at least one of the appropriateness of the content of the watched-over person status notification message, the appropriateness of the transmission timing, and the reaction of the watcher. The monitoring support method according to claim 3.

5. The fifth step generates the monitored person status notification message based on the second learning model. The monitoring support method according to claim 1 .

6. A ninth step of storing and accumulating in a memory the state information of the person being watched, which indicates the state of the person being watched determined based on the measurement data; a tenth step of providing the monitored person status information stored in the memory in the ninth step to an external organization; The monitoring server further executes The monitoring support method according to claim 1 .

7. The third step receives the measurement data from the monitoring sensor without going through the SNS server. The monitoring support method according to claim 1 .

8. The monitoring support business sets the function of the first step of the SNS server. The monitoring support method according to claim 1 .

9. receiving setting information specifying the operation of the watching server designated by the terminal device of the watcher from the SNS server; Based on the setting information, the processing of the fifth step or the sixth step is specified. The monitoring support method according to claim 3.

10. A monitoring support system by a monitoring sensor installed in the home of a monitored person and a monitoring support provider using an SNS service, a first means for receiving, from an SNS server providing the SNS service, sensor identification information of the monitoring sensor obtained by a terminal device of a watcher reading a code associated with the monitoring sensor and a watcher SNSID, which is identification information of the watcher in the SNS service; a second means for storing the sensor identification information received by the first means and the watcher SNSID in a memory in association with each other; A third means for receiving measurement data from the monitoring sensor installed in the home of the person being monitored; A fourth means for determining the state of the person being watched based on the measurement data received by the third means and determining whether to send a watched person state notification message using a first learning model; a fifth means for generating the watched person status notification message when the fourth means determines that the message should be sent; A sixth means for push-transmitting the watched person status notification message to the SNS server together with the watching person SNS ID stored in a memory; A monitoring support system with this function.

11. A program used in a monitoring service that uses a monitoring sensor installed in the home of a monitored person and an SNS service, a first step of receiving, from an SNS server providing the SNS service, sensor identification information of the monitoring sensor obtained by a terminal device of a watcher reading a code associated with the monitoring sensor and a watcher SNSID, which is the watcher's identification information in the SNS service; a second step of storing the sensor identification information received in the first step and the watcher SNSID in a memory in association with each other; A third step of receiving measurement data from the monitoring sensor installed in the home of the person being monitored; A fourth step of determining the state of the person being watched based on the measurement data received in the third step and determining whether to send a watched person state notification message using a first learning model; a fifth step of generating the monitored person status notification message when it is determined in the fourth step that the monitored person status notification message should be transmitted; a sixth step of pushing the watched person status notification message to the SNS server together with the watching person SNS ID stored in a memory; A program that monitors and executes on the server.

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