Management system, monitored terminal, analysis server device, and program for parental terminal.

Abstract

This invention provides a management system, a monitored terminal, an analysis server device, and a program for a parental device that improve user convenience and reliability in battery management for portable devices. [Solution] The management system 1 includes a monitored terminal 100 carried by the monitored person M1, an analysis server device 200 that analyzes the monitored person M1's schedule information and status information and generates battery advice information (at least one of remaining time prediction or charging suggestion), and a guardian terminal 300 equipped with communication means for notifying the monitored terminal 100 and the guardian terminal 300 of the advice information. The analysis server device 200 uses AI to integrate and analyze schedule information and status information (sensor data, etc.) and predicts and suggests the remaining battery time, optimal charging timing, etc.

Description

Technical Field

[0001] The present invention relates to a management system, a monitored terminal, an analysis server device, and a program for a guardian terminal.

Background Art

[0002] In recent years, monitoring services that include a GPS (Global Positioning System) function or the like and enable a guardian to remotely check the current location and activity status of a monitored person such as a child or an elderly person, and portable terminals (hereinafter referred to as monitoring terminals or monitored terminals) used therefor have been widely used. Since these monitoring terminals are driven by a built-in battery, management of the remaining battery level is extremely important for ensuring the continuity and reliability of the service.

[0003] In conventional monitoring terminals, functions for displaying the remaining battery level as a percentage and for notifying with a warning sound or a message when the remaining battery level falls below a preset threshold are common. In addition, in order to suppress battery consumption, there are also those equipped with a function for the user to manually switch to a power-saving mode and a function for automatically shifting to a sleep mode when there is no operation for a certain period of time.

[0004] However, in the prior art, it has been difficult to perform battery consumption prediction in consideration of the subsequent activity plan (schedule) of the monitored person and the constantly changing activity situation / environment (hereinafter referred to as context). Therefore, the guardian cannot accurately grasp the specific battery duration and the optimal charging timing, and as a result, there is a risk that the monitoring function will be interrupted unintentionally. For example, when the monitored person stays in a place where they usually do not go very often for a long time or moves around actively, the battery consumption may increase earlier than expected, but it has been difficult for the prior art to perform flexible battery management corresponding to such a change in the situation.

[0005] To address these challenges, for example, U.S. Patent No. 10,970,185 (Patent Document 1) discloses a technology that learns the user's power consumption patterns, charging patterns, location information, time, and movement history, predicts the most likely time for the next charge, and whether the battery will last until then at the current charge level, and generates a "charge recommendation" notification.

[0006] However, the technology described in Patent Document 1 is aimed at general smartphone users and is not specifically tailored to the characteristics and needs of those being monitored, especially children whose behavior is unpredictable and for whom ensuring safety is a top priority. For example, it lacks advanced and detailed battery management, such as highly accurate prediction linked to the specific schedule of the person being monitored (e.g., school timetable, extracurricular activity schedule, weekend outing plan, etc.) and dynamic changes in the priority of essential monitoring functions based on that schedule and the current context. Furthermore, there was room for improvement in long-term management that takes into account the battery's state of health (SOH), and in the user interface (UI) that provides information in an easy-to-understand format for the person being monitored to encourage increased awareness of battery management. [Prior art documents] [Patent Documents]

[0007] [Patent Document 1] U.S. Publication No. 10970185 [Overview of the project] [Problems that the invention aims to solve]

[0008] This invention was made in view of the actual state of the prior art, and aims to improve the convenience and reliability of users (those being monitored and their guardians) in battery management of portable terminals. [Means for solving the problem]

[0009] To solve the above problems, a management system according to one aspect of the present invention is: (1) A monitoring device carried by the person being monitored, (2) An analysis server device that analyzes the schedule information and status information of the person being monitored and generates advice information regarding the battery, which includes at least one of remaining time prediction or charging suggestion, (3) A guardian terminal equipped with communication means for notifying the advice information to at least one of the monitored terminal and the guardian terminal, Management systems including To provide. [Effects of the Invention]

[0010] According to the present invention, based on the schedule information and status information of the person being monitored, the analysis server device generates advice information regarding the battery and notifies the monitored terminal and the guardian terminal of this information. This enables users to more accurately understand the battery status and perform optimal battery management (for example, determining and executing the appropriate charging timing). This reduces the risk of interruption of the monitoring function due to unexpected battery depletion and improves user convenience and reliability in battery management of portable terminals. [Brief explanation of the drawing]

[0011] [Figure 1] This is an overview diagram showing the overall configuration of the management system according to this embodiment. [Figure 2] This block diagram shows an example of the hardware configuration of the monitored terminal according to this embodiment. [Figure 3] This figure shows an example of a functional block diagram of the analysis server device according to this embodiment. [Figure 4] This flowchart shows an example of the processing performed by the parental device program according to this embodiment. [Figure 5] This figure shows examples of screen displays on the parent terminal according to this embodiment, where (a) is an example of the dashboard screen and (b) is an example of the detail screen. [Figure 6] It is a sequence diagram showing the flow of main processes in the management system according to this embodiment. [Figure 7] It is a diagram showing an example of a screen display of the watched-over terminal according to this embodiment, where (a) is an example of the display during normal times and (b) is an example of the display when prompting for charging. [Figure 8] It is an explanatory diagram of the context-adaptive power-saving mode according to this embodiment, where (a) shows an example of dynamically changing the data collection interval and (b) shows an example of dynamically determining function restrictions. [Figure 9] It is a diagram showing an example of a setting screen for switching notification modes in the guardian terminal according to this embodiment. [Figure 10] It is a diagram showing the concept of battery charge control according to this embodiment. [Figure 11] It is a diagram showing the concept of calculating the battery depletion risk score according to this embodiment. [Figure 12] It is a diagram showing the concept of adaptively presenting advice information according to this embodiment, where (a) is an example of presenting to the watched-over terminal and (b) is an example of presenting to the guardian terminal.

Mode for Carrying Out the Invention

[0012] Hereinafter, a mode for carrying out the invention of the present application (hereinafter referred to as this embodiment) will be described in detail with reference to the drawings. Note that the drawings referred to in the following description are for facilitating the understanding of the invention of the present application, and the invention of the present application is not limited to these drawings. Also, in each figure, the same or corresponding elements are denoted by the same reference numerals, and redundant explanations are omitted as appropriate.

[0013] (Configuration of the Entire System) FIG. 1 is a schematic diagram showing the overall configuration of the management system 1 according to this embodiment. As shown in FIG. 1, the management system 1 mainly includes a watched-over terminal 100 carried by a watched-over person M1, a guardian terminal 300 used by a guardian M2, and an analysis server device 200 communicably connected to these terminals via a network NW. This configuration corresponds to Appendix 1.

[0014] The monitored terminal 100 includes various sensors such as a GPS receiver and an acceleration sensor, for example, and acquires status information such as the location information and activity amount of the monitored person M1. The monitored terminal 100 transmits the acquired status information to the analysis server device 200. Further, the monitored terminal 100 includes a display, a speaker, a vibration motor, etc., and notifies the monitored person M1 of the advice information regarding the battery received from the analysis server device 200 or the like. The monitored terminal 100 is typically a wristwatch-type device for children or a dedicated terminal, but may also be a general-purpose mobile terminal such as a smartphone.

[0015] The analysis server device 200 is composed of one or more server computers, and receives the status information of the monitored person M1 transmitted from the monitored terminal 100 and the schedule information of the monitored person M1 transmitted from the protector terminal 300. The analysis server device 200 performs AI (artificial intelligence) analysis using these information, the accumulated past data, and the machine learning model, and generates advice information including prediction of the remaining battery time, optimal charging proposal, etc. Then, the generated advice information is transmitted to the monitored terminal 100 and the protector terminal 300.

[0016] In this embodiment, the "analysis server device 200" does not necessarily refer only to a single, physically located server computer. For example, it may also include server functions virtually constructed in a cloud computing environment, analysis functions realized through the cooperation of multiple distributed server groups, or cases where some or all of the main analysis functions are executed by processors of other components such as the monitored terminal 100 or the guardian terminal 300 (so-called edge computing or client-side processing). What is important is that a logical "analysis function" exists within the system to generate advice information regarding the battery based on the monitored person's schedule information and status information, and that the results are provided to the user. Therefore, for example, a configuration in which the monitored terminal 100 has advanced AI processing capabilities and self-generates advice information based on schedule information (for example, synchronized directly or indirectly from the guardian terminal 300) and its own status information, and directly notifies the guardian terminal 300, can also be considered as a variation that falls within the scope of the technical idea of ​​the present invention.

[0017] The parent terminal 300 is typically a smartphone, tablet, or personal computer with dedicated application software (parent app) installed, but the present invention is not limited thereto. The term "parent terminal" can encompass any terminal that has the function of allowing parent M2 to receive and recognize battery-related advice information transmitted from the analysis server device 200 or the monitored terminal 100. For example, mobile phones (including feature phones), wearable devices, and smart speakers that can receive and display SMS (Short Message Service), email, or instant messaging service messages without a dedicated app can also function as parent terminals depending on the situation. The important thing is that the generated advice information is delivered to the parent via some means of communication, giving the parent the opportunity to review the information and take appropriate judgments and actions. The parent terminal 300 displays the received advice information on a display or the like and notifies parent M2.

[0018] A network (NW) is a public or private communication network, such as the internet, mobile phone networks (LTE, 5G, etc.), or Wi-Fi (Wireless Fidelity) networks, which enables data communication between devices.

[0019] (Configuration of the monitored terminal 100) Figure 2 is a block diagram showing an example of the hardware configuration of the monitored terminal 100. As shown in Figure 2, the monitored terminal 100 includes a CPU (Central Processing Unit) 101 as a processor, ROM (Read Only Memory) 102 and RAM (Random Access Memory) 103 as storage devices, a sensor unit 110 for acquiring status information, a communication unit 120 for communication, an output unit 130 for outputting information, and a battery 140 as a power source, and these are interconnected via a system bus 109. This configuration corresponds to Appendix 9.

[0020] The CPU 101 loads the operating system, various programs, and data stored in the ROM 102 into the RAM 103 and executes them, thereby comprehensively controlling the operation of the entire monitored terminal 100. ROM102 is a non-volatile storage medium that stores basic programs, configuration data, font data, and other information necessary for the operation of the monitored terminal 100. RAM103 is a volatile storage medium that functions as a work area for CPU101, storing running programs and temporary data.

[0021] The sensor unit 110 corresponds to Appendix 9(1) and consists of one or more sensors for acquiring state information of the person being monitored M1. As described in Appendix 2, the sensor unit 110 may include, for example, a GPS receiver 111 (a sensor for detecting position) and an acceleration sensor 112 (a sensor for detecting motion). In addition to these, it may also include a geomagnetic sensor, a barometric pressure sensor, a temperature sensor, a humidity sensor, an illuminance sensor, a proximity sensor, a microphone, a camera, etc. In this embodiment, "state information" is a broad concept that includes the "sensing data" itself directly output from these sensors, and / or "context information" such as "the activity state of the person being monitored M1 (e.g., stationary, walking, running, moving in a vehicle, sleeping, etc.)" and the surrounding environment (e.g., indoors, outdoors, inside a specific facility, brightness, noise level, etc.)" obtained by the CPU 101, etc. performing primary processing (e.g., noise reduction, feature extraction, activity type estimation, etc.) on the sensing data. The sensor unit 110 acquires this information at a predetermined sampling period.

[0022] Here, sub-concepts of "state information" include latitude and longitude information, altitude information, movement speed, direction of movement, number of steps, activity intensity (METs value, etc.), calories burned, posture information, fall detection information, heart rate and body temperature (if biosensors are installed), illuminance data indicating ambient brightness, and noise data indicating ambient sound level.

[0023] The communication unit 120 corresponds to Appendix 9(2) and includes, for example, a communication module compatible with low-power wide-area wireless communication (LPWA) standards such as LTE-M (Long Term Evolution for Machine Type Communication) and NB-IoT (NarrowBand-Internet of Things), or a Wi-Fi module, Bluetooth® module, etc. The communication unit 120 connects to the network NW via an antenna (not shown) and transmits state information (sensing data and context information) acquired by the sensor unit 110 to the analysis server device 200. It also receives advice information transmitted from the analysis server device 200, and in some cases control instructions (for example, instructions to switch to power-saving mode).

[0024] The output unit 130 corresponds to Appendix 9(3) and is a means for notifying the person being monitored M1 of advice information. The output unit 130 includes, for example, a display device such as an E-ink (electronic paper) display, an LCD (Liquid Crystal Display), or an organic EL (Organic Electro-Luminescence) display, a speaker for outputting sound, an LED (Light Emitting Diode) lamp for notification, and a vibration motor for generating vibrations. Depending on the content and urgency of the advice information received by the communication unit 120, the output unit 130 outputs text messages, icons, character animations, voice guidance, flashing lights, vibration patterns, etc., individually or in combination.

[0025] Figure 7 shows examples of displays by the output unit 130 on the monitored terminal 100. Figure 7(a) shows an example of displaying the time and battery level icon under normal circumstances, while Figure 7(b) shows an example of displaying a message that is easy for children to understand (e.g., "I'm hungry!") and character animation when prompting charging. Furthermore, as shown in Figure 12(a), the advice information transmitted from the analysis server device 200 is dynamically optimized in terms of its display content and expression (e.g., message length, words used, type of icon, presence or absence of animation) according to the age and level of understanding of the monitored person M1 (which can be set by the guardian) and the current situation (e.g., active or stationary), and is displayed on the output unit 130. This improves the effectiveness and accessibility of information transmission to the monitored person M1.

[0026] The battery 140 is a rechargeable secondary battery (e.g., lithium-ion battery) that supplies power to various parts of the monitored terminal 100. The CPU 101 monitors the remaining charge, temperature, voltage, current, and number of charge / discharge cycles of the battery 140, and uses this information for battery management.

[0027] The monitored terminal 100 may also include a control unit as described in Appendix 3 (for example, a function realized by the CPU 101 executing a program stored in ROM 102, etc.). This control unit dynamically changes the data collection interval from the sensor unit 110 (for example, the positioning interval of the GPS receiver 111 or the sampling rate of the acceleration sensor 112) according to the remaining battery level 140 and the urgency based on schedule information received from the analysis server device 200 (for example, whether or not an important appointment is imminent, or the importance of that appointment).

[0028] Figure 8(a) is a conceptual diagram illustrating an example of the dynamic change in the data collection interval. In Figure 8(a), the horizontal axis represents battery level, the vertical axis represents GPS positioning interval, and the schedule urgency (high, medium, low) is shown as a parameter. The CPU 101 evaluates the current battery level and schedule urgency. For example, in situations where the battery level is high and the urgency is low (lower right region of the graph), the positioning interval is set longer to suppress power consumption. In situations where the battery level is low and the urgency is high (upper left region of the graph), the positioning interval is set shorter (within an acceptable range) to prioritize monitoring accuracy. This optimizes battery consumption according to the situation and makes effective use of the limited battery capacity.

[0029] Furthermore, the monitored terminal 100 may be equipped with a power saving mode control unit (for example, a function executed by the CPU 101) as described in Appendix 7. This control unit operates when the battery level falls below a preset threshold (for example, 10%) or when the analysis server device 200 recommends switching to power saving mode as part of the advice information.

[0030] In this case, the power saving mode control unit does not simply impose uniform functional restrictions, but rather determines the "safety level" based on the "current context" and "scheduled position" of the person being monitored M1, which are provided by the analysis server device 200 or estimated in real time by the edge AI model 202b (see Figure 3) within the monitored terminal 100.

[0031] The "current context" includes, for example, the activity status of the person being monitored M1 (stationary, walking, running, vehicle travel, etc.), location information (whether it is a known safe place or an unfamiliar place, outdoors or indoors, etc.), surrounding environment (radio wave conditions, brightness, noise level, etc.), and the current time. The "scheduled position" is an assessment of how the current context relates to schedule information, such as "during school classes," "traveling along the route home from school," "playing with friends in the park," or "staying alone in an unscheduled location."

[0032] The power saving mode control unit comprehensively evaluates this information and determines a "safety assurance level," such as the following three stages. High level (highest priority): Situations where contact with guardians is likely to be lost due to unexpected actions while traveling in an unfamiliar place, immediately after an SOS has been sent, etc. Medium level (ensuring critical functions): When traveling along a known route (e.g., on the way home from school), or during outdoor activities, but in situations where there is a high probability of contacting a parent or guardian. Low level (minimum maintenance): Staying still within the geofence of your home or school, acting with a guardian, etc.

[0033] Then, based on the determined "safety level," the functional limitations shown in the table in Figure 8(b) are dynamically selected and configured. For example, if a "high safety level" is determined, the GPS positioning accuracy and transmission frequency (for example, changing from the usual 1-minute interval to a 3-minute interval while continuing positioning), as well as the SOS notification function, will be maintained to the maximum extent possible, and the sending and receiving of voice messages will also be maintained as much as possible. To achieve this, the display brightness will be minimized or turned off, unnecessary sensors (e.g., detailed accelerometer data collection for activity level measurement) will be stopped, and background data synchronization and software updates will be completely stopped.

[0034] If the security level is set to "medium," the GPS positioning frequency will be further reduced (e.g., every 5-10 minutes), and voice messages will only be able to be received, while sending will be restricted. Furthermore, if the "safety level is low," GPS positioning will be stopped, and only infrequent location checks via Wi-Fi or base stations (e.g., every 30 minutes to 1 hour) and emergency SOS notification functions will be maintained, while other communication and display functions will be severely restricted.

[0035] In this way, the AI ​​(or logic based on it) evaluates the situation of the person being monitored (M1) in real time and intelligently selects and maintains the functions that are truly necessary for ensuring safety at that moment. Compared to a uniform power-saving mode, this minimizes battery consumption while maximizing the continuity and reliability of monitoring. This serves as a last line of defense for ensuring the safety of the person being monitored, especially in situations where the battery level is critical.

[0036] (Configuration of analysis server device 200) Figure 3 shows an example of a functional block diagram of the analysis server device 200. As shown in Figure 3, the analysis server device 200 mainly comprises an acquisition unit 201, an analysis means 202, a transmission unit 203, and a storage unit 204, etc. These functions are realized by the execution of a predetermined program stored in a storage device by the processors of one or more computers constituting the analysis server device 200. This corresponds to Appendix 10.

[0037] In this embodiment, an example is mainly described in which the analysis means 202 of the analysis server device 200 generates advice information, but the present invention is not limited to this. For example, the CPU 101 of the monitored terminal 100 may perform similar AI analysis processing (for example, processing using the edge AI model 202b) based on the schedule information received from the guardian terminal 300 (or schedule information stored inside the monitored terminal 100) and the state information acquired from the sensor unit 110, generate advice information regarding the battery, notify it from the output unit 130, and transmit it to the guardian terminal 300 via the communication unit 120. Alternatively, the guardian terminal 300 may receive state information from the monitored terminal 100, analyze it in combination with the schedule information it holds, and generate and display advice information. In these cases, it is sufficient that the system as a whole realizes the functions of analysis based on schedule information and state information, and the generation and notification of advice information.

[0038] The acquisition unit 201, in accordance with Appendix 10(1), continuously receives status information of the person being monitored M1 (sensing data, context information, etc.) transmitted from the monitored terminal 100 via the network NW, and schedule information of the person being monitored M1 (for example, school timetable, schedules for cram school or extracurricular activities, weekend outing plans, importance of each schedule, etc.) transmitted from the guardian terminal 300, and stores it in the storage unit 204.

[0039] In this embodiment, the "schedule information" received by the acquisition unit 201 is not limited to information that merely indicates the general activity pattern of the person being monitored M1 (e.g., distinction between "weekday mode" and "holiday mode," or classification such as "morning activity type" and "afternoon activity type"), but preferably includes specific planned information regarding specific future activities of the person being monitored M1. For example, the schedule information may include the name of each activity (e.g., "school," "cram school," "piano lesson," "playing in the park," "family trip"), the planned start and end times, the activity location (specific address or facility name, or geofence information), the type of activity (e.g., static indoor activity, outdoor exercise, travel by vehicle, etc.), the importance of the activity (which can be set by the guardian), and recurring settings (e.g., lessons every Wednesday). Such detailed schedule information is input from the guardian terminal 300 and stored in the storage unit 204 of the analysis server device 200. The analysis means 202 recognizes these specific activity plans and utilizes them for battery management.

[0040] The analysis means 202 corresponds to Appendix 10(2) and is an AI engine that performs the core processing of the present invention. The analysis means 202 generates battery-related advice information using various information received by the acquisition unit 201, past data stored in the memory unit 204 (for example, past behavior patterns of the person being monitored M1, battery consumption history, SOH trends, etc.), and pre-trained or continuously trained and updated machine learning models (for example, regression models, classification models, time series prediction models, reinforcement learning models, etc.).

[0041] Specifically, the analysis means 202 performs the following processes (aa) to (f).

[0042] (aa) Schedule-linked context analysis processing: The analysis means 202 first analyzes the schedule information input from the acquisition unit 201 and identifies individual "activity events" in chronological order (e.g., "9:00 to 15:00: Class at A Elementary School", "16:00 to 17:00: Piano lesson at B Piano School", "Saturday 10:00 to 16:00: Family picnic at C Park"). Next, for each "activity event," its characteristics (e.g., indoor / outdoor, expected activity intensity, whether or not movement is involved and by what means) are estimated or learned from the schedule information itself or from state information from similar past events (contextual information based on sensing data). Then, the system compares the status information transmitted in real time from the monitored terminal 100 (current location, activity level, battery consumption rate, etc.) with this identified and characterized group of "activity events" on a time axis to generate a detailed context that includes the status of schedule compliance, such as which "activity event" the monitored person M1 is currently in, whether they are heading to the next "activity event," or whether they are engaging in unscheduled behavior (deviation).

[0043] (ba) Schedule-linked battery consumption prediction processing: The analysis means 202 predicts the battery level in a time series at the start, execution, and end of each future "activity event" based on the detailed context including the schedule compliance status generated in (aa) above, the current battery level, and the battery consumption pattern model specific to the monitored person M1 stored in the memory unit 204 (which may include multiple submodels optimized for different activity events and contexts). In this process, the characteristics of each activity event (e.g., whether it is an outdoor activity with high GPS usage frequency or an indoor low-power activity), as well as the time and power consumption required for the scheduled movement, are also taken into consideration.

[0044] (ca) Battery depletion risk assessment and action suggestion generation process: The analysis means 202 further includes a "battery depletion risk assessment module 202c" (not shown). This module comprehensively analyzes the current detailed context of the person being monitored M1 estimated in (aa), the current battery consumption trend predicted in (ba), and schedule information obtained from the guardian terminal 300 (start and end times, location, importance of each activity, etc.) in a time series.

[0045] Specifically, the simulation will track the battery level before, during, and after each scheduled important activity (e.g., school classes, cram school, extracurricular activities, appointments with friends, meeting with parents, etc.). This simulation will utilize past battery consumption data from similar contexts (activity content, location, time of day, etc.) and a battery consumption pattern model specific to the monitored individual M1.

[0046] Then, the probability that the battery level will fall below a predetermined critical level (e.g., 5%, when secure communication or location information transmission becomes difficult) by the scheduled end time of each critical activity, or the specific time when it is predicted to fall below that level (hereinafter referred to as "battery depletion risk"), is evaluated quantitatively or qualitatively. For example, as shown in Figure 11, the battery depletion risk score 220 is a numerical value from 0 to 100 calculated by non-linearly weighting multiple factors such as the "importance" of the scheduled activity (which can be set by the parent), the "safety of the location" of the current location and destination (evaluated from map information and historical data), predicted battery consumption, current SOH, and real-time context (activity status, weather, etc.) using a machine learning model (e.g., gradient boosting decision tree or neural network). A higher score indicates a higher depletion risk.

[0047] Furthermore, the analysis means 202 includes an "action suggestion generation module 202d" (not shown). When the battery depletion risk score 220 exceeds a predetermined threshold (e.g., 70) as determined by the battery depletion risk assessment module 202c, this module generates one or more specific recommended actions to avoid or reduce the risk, along with predictions of the effects of performing those recommended actions (e.g., degree of reduction in battery depletion risk, expected extension of duration) and rationale.

[0048] Recommended actions include specific charging instructions such as, "To prepare for today's swimming lesson at 3 PM (1 hour duration, importance: high), we recommend performing a fast charge for at least 20 minutes by 2 PM. This will allow you to maintain a predicted battery level of 15% or higher at the end of the lesson, reducing the battery depletion risk score from the current 75 to 20," as well as preventative advice including alternative measures, such as, "For tomorrow's field trip (planned activity time 6 hours, mainly using outdoor GPS, location: △△ Mountains), based on the current battery health (SOH) and predicted consumption, it is predicted that the battery will not last all day (predicted depletion time: around 2:30 PM, risk score: 90). Please consider bringing a portable battery or actively using power-saving mode during the activity (for example, setting the GPS positioning interval to "field trip mode" except when taking photos)."

[0049] (cb) Handling of unpredictable situations: The analysis means 202 further detects unpredictable situations, such as when the actions of the person being monitored M1 deviate significantly from the schedule information entered by the guardian (for example, not being at the scheduled place at the scheduled time, staying in a place not on the schedule for a long time, etc.) or when sudden high-power consumption activity (e.g., prolonged strenuous exercise) is detected from sensing data. In such situations, considering the increased uncertainty in battery depletion risk assessment, the analysis means 202 prioritizes sending an alert to the guardian terminal 300, such as "Unplanned behavior has been detected. Battery consumption may be different from normal. The current estimated remaining time is approximately X hours, but we recommend checking the situation and contacting the person being monitored if necessary." At this time, if possible, the degree of deviation from the schedule and the degree of abnormality of the current battery consumption rate are quantified and the urgency level of the alert is adjusted.

[0050] (d) Charging suggestion generation process: The remaining time predicted in (ba) is compared with the upcoming schedule (especially important appointments and long-duration activities), and if it is determined that there is a risk of the battery running out, or if it is determined that optimal charging is necessary considering the battery's state of health (SOH), then specific charging suggestions are generated (for example, "Charge for 30 minutes by 2pm to prepare for the swimming lesson at 3pm," or "We recommend charging to 80% tonight to prepare for tomorrow's field trip"). As described in Appendix 6, the analysis means 202 may be configured to generate advice information including charging suggestions if the predicted battery level at the time of arrival at the destination included in the schedule information (e.g., home, school, place of lessons, etc.) is below a predetermined threshold. This reduces unnecessary charging suggestions and alleviates the burden on the user.

[0051] (e) SOH estimation and management process: The state of health (SOH) of the battery is estimated from information such as the number of charge / discharge cycles of the battery 140, the cumulative charge amount, the change in internal resistance, the operating temperature, and the charging method (frequency of rapid charging, etc.).Specific advice to maintain and improve the estimated SOH is then generated (for example, "The battery is in good health. Avoiding prolonged periods of full charge will extend its lifespan," or "Recently, charging has been done frequently in high-temperature environments, which is likely to accelerate battery degradation. Please try to charge in a cool place"). As described in Appendix 8, as part of the advice information, a charging control instruction 210 is also generated and transmitted to the monitored terminal 100, which changes the optimal charging stop voltage to suppress battery degradation based on the estimated SOH and future usage predictions. Figure 10 illustrates this battery charging control concept, schematically showing how the charging control instruction 210 generated by the analysis means 202 affects the charging process of the battery 140 in the monitored terminal 100 (especially the control of the charging stop voltage by the charger IC), and how it achieves optimal charging according to the SOH.

[0052] (f) Integrated Advice Information Processing: The predictions, suggestions, and advice generated in (ba) to (e) above are integrated to ultimately generate "battery-related advice information" that is most appropriate and easy to understand for both the person being monitored M1 and the guardian M2 in the given situation. In this process, as shown in Figure 12, the content (level of detail, expertise), expression (simple language, technical terms, use of characters), amount of information (summary, detail), and presentation method (text, icons, graphs, animations, audio) of the advice information are dynamically optimized according to the target of the advice information presentation (monitored terminal 100 or guardian terminal 300), the age and level of understanding of the person being monitored M1 (which can be set by the guardian), the urgency of the current situation, and the display capabilities of each terminal. For example, as shown in Figure 12(a), the same "charging recommended" message is displayed on the monitored terminal 100 as a short, positive message and icon associated with scheduled activities. On the other hand, as shown in Figure 12(b), the parent terminal 300 provides detailed information on the reasons for the recommendation, specific charging times, risks of not charging, and multiple options.

[0053] In the present invention, "battery-related advice information" is not limited to information that merely notifies the current state of the battery or the predicted remaining time, but includes information that has at least one of the following characteristics (i) to (iv), generated as a result of AI analysis based on the monitored person's schedule information and status information: (i) a specific evaluation of the feasibility of performing a particular scheduled activity (e.g., presentation of a battery depletion risk score), (ii) presentation of one or more specific recommended actions to support the performance of the activity or reduce the battery depletion risk (including the rationale and predicted effects), (iii) clarification of the reason for performing the recommended action or the recommended timing, and (iv) feedback on the predicted or actual improvement in battery status as a result of the user performing the recommended action.

[0054] As described in Appendix 4, the analysis means 202 may be configured to dynamically switch between having some relatively lightweight inference processing (e.g., simple activity type estimation or short-term battery consumption prediction) performed by the edge AI model (operating on the CPU 101) within the monitored terminal 100, or having processing using a more complex and large-scale model performed by the analysis server device 200 in the cloud, depending on the communication status with the monitored terminal 100 (e.g., radio wave strength or communication speed) and the processing load status of the analysis server device 200 itself. In Figure 3, the analysis means 202 has a "cloud AI model 202a" internally and further performs processing in cooperation with an "edge AI model 202b" (not shown, executed on the CPU 101, etc.) located on the monitored terminal 100 side via the network NW. This makes it possible to reduce communication delay, improve real-time performance, and reduce the amount of communication.

[0055] (Log recording and system self-evolution) The memory unit 204 of the analysis server device 200 may be configured to record as a log, associated with a timestamp and a monitored person ID (anonymized or pseudonymized so that the individual cannot be identified), key intermediate parameters calculated by the analysis means 202 when generating advice information (e.g., battery depletion risk score 220, schedule activity execution confidence), key input information referenced (e.g., schedule ID, context type), and the content and type of the generated advice information, as well as the user's response (e.g., whether or not the recommended action was performed). This log data is used for verifying the operation of the system, evaluating the validity of the advice generation logic, and statistical analysis to improve service quality. Furthermore, by continuously learning from this anonymized and aggregated log data, the AI ​​(analysis means 202 or a dedicated learning module) generates and updates a battery consumption model common to all users, a SOH degradation model, a standard behavior pattern model in a specific context, or a user response probability model to advice information. These updated models are fed back into improving the accuracy of future predictions and the quality of advice for individual users, as well as developing new features (e.g., earlier detection of abnormal behavior, more personalized health and activity promotion advice). In this way, the system can be configured as a dynamic system that continuously evolves based on usage data and improves service value.

[0056] The transmitting unit 203 corresponds to Appendix 10(3) and transmits the advice information generated by the analysis means 202 to the monitored terminal 100 and the guardian terminal 300 via the network NW.

[0057] The memory unit 204 is a large-capacity storage medium such as a hard disk drive or solid-state drive, and is a database that securely stores and manages various information received by the acquisition unit 201 (schedule information, status information, battery information, etc.), analysis results by the analysis means 202, machine learning models, and profile information of each person being monitored M1 (past behavioral history, battery consumption trends, SOH trends, guardian settings, etc.).

[0058] (Configuration and program of parental terminal 300) The parental device 300 is a typical smartphone or tablet device equipped with a CPU, memory, display, touch panel, communication unit, etc., and a detailed description of its hardware configuration will be omitted. In the parental device 300, the parental device program (parental app) corresponding to Appendix 11 is executed by the CPU, thereby realizing the functions described below.

[0059] Figure 4 is a flowchart showing an example of the main processes performed by the parent app. First, when parent M2 launches the parent app or the app is running in the background, parent terminal 300 receives the latest battery-related advice information from the analysis server device 200 or the monitored terminal 100 (step S401: reception process). This advice information may include, for example, the current battery level (%) of the monitored terminal 100, the specific predicted remaining time, recommended charging timing and amount, a report on the battery health status (SOH), and the current location of the monitored person M1. As shown in Figure 12(b), the advice information is provided in a format optimized for the parent, including its importance, urgency, and level of detail.

[0060] Next, the received advice information is displayed clearly on the display of the parent terminal 300 (Step S402: Display Processing). An example of the display format is shown in Figure 5. Figure 5(a) is an example of the parent app dashboard screen, which displays the icon of the person being monitored M1, the current battery level, key advice (e.g., "No problems until the end of school today"), a map of the current location, etc. Figure 5(b) is an example of the battery details screen, which displays a graph of the predicted trend of remaining battery time linked to the upcoming schedule, the current status and past trend of SOH, specific charging advice (e.g., "Please charge to 80% tonight in preparation for tomorrow's field trip. Full charging is not normally recommended as it puts a high load on the battery"), past charging history, etc.

[0061] Then, depending on the content and urgency of the received advice information, or the notification conditions set in advance by the parent M2, the advice information is proactively notified to the parent M2 by push notification, icon display on the status bar, alert sound, vibration, etc. (Step S403: Notification processing). As described in Appendix 5, the parent terminal 300 may be configured to switch between at least two types of notification modes (for example, normal notification mode and emergency notification mode) depending on the content of the advice information to be notified (for example, whether it is just a regular battery level notification or a highly urgent charging recommendation that may affect important plans) and the urgency level transmitted from the analysis server device 200.

[0062] Figure 9 shows an example of the notification mode switching settings screen in the parent app. Parent M2 can set notification methods (e.g., sound and vibration, display only), notification sound type, and whether or not to repeat notifications for each type of advice (e.g., low battery warning, charging suggestion, SOH change) and urgency level (e.g., high, medium, low). The parent app will execute notifications in the optimal mode based on the received advice information and these settings. In emergency notification mode, important information will not be missed by using more noticeable notification sounds and vibration patterns, repeatedly displaying notifications, or continuing notifications until Parent M2 acknowledges them.

[0063] The "notification" of advice information to the parent terminal 300 is not limited to push notifications via a dedicated app or in-app display. For example, it also includes a form in which the analysis server device 200 or the monitored terminal 100 sends advice information to contacts (e.g., phone number, email address, messaging service account ID, etc.) that have been registered in advance by the parent M2, in the form of SMS, email, or message sent to a messaging app, and the parent terminal 300 receives and displays it.

[0064] As a variation, the main notifications of advice information may be sent to the monitored terminal 100, with the primary aim of encouraging behavioral changes in the monitored person M1, while the guardian terminal 300 may be configured to selectively and reliably send notifications via a general-purpose communication method (e.g., SMS) only for advice information deemed particularly urgent, such as when the battery level is extremely low or when the monitored person M1 approaches a specific danger area. Furthermore, depending on the settings of the guardian M2, it may be possible to customize the notification level and route, such as making it the norm to check regular advice information via a dedicated app or web portal, and proactively sending notifications when specific conditions are met. In this way, the specific means and frequency of notifications to guardians can be flexibly designed according to the system's operational policy and the guardians' needs.

[0065] In addition to these information receiving, displaying, and notification functions, the parent app also includes functions for parent M2 to input and edit the monitored person M1's schedule information (school timetable, extracurricular activity schedule, outing plan, location and importance of each event, etc.) and send it to the analysis server device 200, as well as functions to configure various settings (notification settings, power saving mode customization settings, etc.).

[0066] (System-wide processing flow) Next, we will explain the main processing flow in management system 1 with reference to the sequence diagram in Figure 6. First, parent M2 operates the parent app on parent terminal 300 to input or update the schedule information of the person being monitored M1, and this is sent to the analysis server device 200 (step S601). This schedule information is stored in the storage unit 204.

[0067] Meanwhile, the monitored terminal 100 uses its sensor unit 110 to periodically or event-drivenly acquire status information (sensing data and contextual information based thereon) of the monitored person M1 (step S602). The acquired status information is then transmitted to the analysis server device 200 via its communication unit 120 (step S603).

[0068] In the analysis server device 200, the acquisition unit 201 receives this information, and the analysis means 202 uses the latest received schedule information and status information, as well as past data and trained models stored in the storage unit 204, to perform AI analysis processing and generate advice information regarding the battery (step S604).

[0069] The transmission unit 203 of the analysis server device 200 transmits the generated advice information to the guardian terminal 300 (step S605) and the monitored terminal 100 (step S606), respectively.

[0070] The parent terminal 300 displays the received advice information on a screen as shown in Figure 5, or notifies parent M2 via push notification, etc. (step S607).

[0071] Similarly, the monitored terminal 100 also uses its output unit 130 to display or notify the received advice information (step S608). An example of the display on the monitored terminal 100 is shown in Figure 7.

[0072] Figure 7(a) shows an example of a normal display, showing the time and date along with the battery level using icons and percentages. Figure 7(b) shows an example of advice information displayed when prompting charging, such as displaying an animation of a character indicating low battery level along with a message that is easy for children to understand, such as "I'm hungry!", or displaying a specific recommended charging time (e.g., "Charge in 30 minutes").

[0073] Through this series of processes, both the caregiver M2 and the person being monitored M1 can accurately recognize the battery status and take necessary actions (for example, charging at the appropriate time), effectively reducing the risk of the monitoring function being interrupted due to battery depletion.

[0074] (Contribution to improvements in computer functions and user interface, taking into consideration foreign patent applications) The present invention effectively utilizes the functions of a computer (analysis server device 200, monitored terminal 100, guardian terminal 300) and AI technology to bring about significant functional improvements and user interface improvements in the field of battery management.

[0075] Optimization of processing load and reduction of communication volume: Based on highly accurate battery consumption predictions by AI, the data collection interval from the sensor unit 110 on the monitored terminal 100 and the frequency of sending status information to the analysis server device 200 are dynamically adjusted (related to Appendix 3, see Figure 8(a)). In addition, a context-adaptive power saving mode (related to Appendix 7, see Figure 8(b)) suppresses the operation of unnecessary functions. Furthermore, as described in Appendix 4, by flexibly switching between edge AI (inference on the monitored terminal 100 side) and cloud AI (inference on the analysis server device 200 side) according to the communication status and processing content (see 202a and 202b in Figure 3), the processing load of the entire system is distributed, and communication delays and communication costs are reduced.

[0076] Improved real-time capabilities and enhanced reliability: By switching notification modes according to the urgency level (related to Appendix 5, see Figure 9) and a power-saving mode that prioritizes maintaining essential monitoring functions even when the battery level is low (related to Appendix 7, see Figure 8(b)), the system ensures real-time transmission of important information while efficiently utilizing the battery and enhancing the reliability of the monitoring service.

[0077] Advanced data analysis and improved prediction accuracy: By integrating AI analysis of individual-specific schedule information, status information obtained from various sensors (sensing data and contextual information), past behavioral patterns, battery consumption history, and SOH information, the system achieves highly accurate remaining time predictions and charging suggestions that were not possible with conventional, uniform battery management, as well as battery depletion risk assessments (see Figure 11) and specific action suggestions.

[0078] Battery life optimization: By estimating the battery's state of health (SOH) and advising or automatically controlling the optimal charging method based on that (e.g., adjusting the charging stop voltage, related to Appendix 8, see Figure 10), battery degradation is suppressed, enabling long-term use of the device.

[0079] System self-evolution and service value improvement: By continuously learning from anonymized and aggregated log data, the AI ​​improves its predictive models and advice generation logic, thereby increasing the overall service value of the system.

[0080] Improvements to the user interface (UI): Improved Usability (for Parents): Beyond simply displaying battery level numerically, the device provides concrete actionable "advice information" (e.g., "The battery will last until the end of school today," "Please charge by 2 PM to prepare for the 3 PM after-school activity") in an easy-to-understand format linked to the schedule (such as the graph in Figure 5(b)). This allows parents to make intuitive and easy decisions regarding battery management. This reduces the psychological burden on parents and supports their focus on monitoring their children.

[0081] Improved accessibility (for those being monitored): On the monitored device 100, notifications are made using metaphorical expressions that are easy for those being monitored, especially children (such as "I'm hungry!" in Figure 7(b)), character animations, and simple icon displays. This encourages those being monitored to take part in and understand battery management, significantly improving accessibility.

[0082] Optimizing information delivery according to the situation: By dynamically changing the timing, display method (see Figure 12), sound, and vibration of notifications (related to Appendix 5, see Figure 9) according to the content and urgency of the advice information to be notified, the target audience (person being monitored / guardian), and the display capabilities of the device, we ensure that users can reliably recognize important information at the appropriate time and reduce stress caused by information overload.

[0083] (Possible combinations of embodiments) Furthermore, the embodiments and modifications disclosed herein can be combined, omitted, or replaced with other elements or steps as appropriate, without departing from the spirit thereof. In addition, although specific embodiments have been described in detail above, the scope of the present invention is not limited to these embodiments, and various modifications are possible within the scope of the technical idea of ​​the present invention.

[0084] [General tasks] To improve user convenience and reliability in battery management for portable devices.

[0085] [Issues corresponding to Appendix 1] To improve user convenience and reliability in battery management for portable devices, we will provide a system in which a monitored device, an analysis server device, and a parent / guardian device work together. [Note 1] (1) A monitoring device carried by the person being monitored, (2) An analysis server device that analyzes the schedule information and status information of the person being monitored and generates advice information regarding the battery, which includes at least one of remaining time prediction or charging suggestion, (3) A guardian terminal equipped with communication means for notifying the advice information to at least one of the monitored terminal and the guardian terminal, A management system that includes this. (Effects of Appendix 1) The monitored terminal, analysis server device, and guardian terminal work together to generate battery advice information based on the monitored person's schedule and status information, and notify each terminal of this information. This allows users to accurately understand the battery status and manage it optimally, improving convenience and reliability. Here, the "schedule information" includes information about one or more specific future activities planned by the monitored person (e.g., activity content, scheduled time, scheduled location, etc.), the "analysis" includes a process in which AI (artificial intelligence) correlates and evaluates the specific activity plan with current status information (including sensing data and contextual information based thereon) to predict the future battery status, and the "advice information" includes providing specific battery-related information associated with the specific activity based on the evaluation results (e.g., a prediction of battery sustainability until the end of the activity, or recommended actions to safely complete the activity, etc.). Furthermore, the term "parental device" broadly includes any information processing terminal that allows a parent to recognize the advice information, regardless of whether or not it has dedicated application software, and the term "notification" by "communication means" includes a variety of electronic information transmission means, such as push notifications, SMS, email, in-application displays, and web displays, that transmit the content of the advice information in a way that the parent can understand.

[0086] [Issues corresponding to Appendix 2] To provide a system that contributes to improving the accuracy of advice by more specifically identifying the condition information of the person being monitored. [Note 2] The system described in Appendix 1, wherein the state information is based on data obtained from at least one of a position-detecting sensor or a motion-detecting sensor. (Effects due to Appendix 2) By acquiring status information based on data obtained from location sensors or motion sensors, it is possible to understand the specific situation of the person being monitored (such as location and activity level), contributing to the generation of more accurate battery consumption predictions and advice information.

[0087] [Issues corresponding to Appendix 3] To improve battery consumption on the monitored device and extend battery life. [Note 3] The system described in Appendix 1 or 2, wherein the monitored terminal includes a control unit that dynamically changes the data collection interval from the sensor according to the remaining battery level or the urgency of the schedule. (Effects of Appendix 3) By dynamically changing the data collection interval from sensors according to the battery level and the urgency of the schedule, unnecessary data collection can be suppressed, battery consumption can be optimized, and the effective battery life can be extended.

[0088] [Issues corresponding to Appendix 4] To optimize the efficiency, responsiveness, and communication load of battery-related analysis processing. [Note 4] A system described in any one of the appendices 1 to 3, wherein the analysis server device is a system that switches between inference using a model on the terminal and inference using a model on the cloud depending on the communication status. (Effects of Appendix 4) The analysis server device can reduce processing delays, improve real-time performance, and reduce the amount of communication data by switching between inference using the terminal model (edge ​​computing) and inference using the cloud model depending on the communication status, thereby improving the overall efficiency and responsiveness of the system. It should be noted that the generation of advice information by the analysis server device as used herein is not limited to cases where all analysis processing is completed on a single server device, but also includes distributed processing configurations in which a portion of the analysis function is executed in cooperation with the monitored terminal or guardian terminal.

[0089] [Issues corresponding to Appendix 5] To improve the method of notifying parents of advice information on their devices, thereby increasing parental convenience and awareness of the information. [Note 5] A system described in any one of the appendices 1 to 4, wherein the parent terminal is a system that switches between at least two types of notification modes depending on the notification target or urgency. (Effects of Appendix 5) By allowing parental devices to switch notification modes according to the recipient and urgency of the advice information, parents can instantly and intuitively recognize the importance of the information and prompt appropriate action, thereby improving convenience and information awareness.

[0090] [Issues corresponding to Appendix 6] To improve the validity of charging suggestions and provide users with truly necessary information. [Note 6] A system described in any one of the appendices 1 to 5, wherein the analysis server device generates the advice information, including a charging suggestion, when the predicted remaining charge at the time of arrival at the destination is less than a predetermined threshold. (Effects of Appendix 6) The analysis server device determines whether or not to offer a charge based on the predicted battery level upon arrival at the scheduled destination. This reduces unnecessary charge suggestions, enabling the provision of more appropriate and practical information to the user, thereby improving convenience.

[0091] [Issues corresponding to Appendix 7] To ensure the continuity of the monitoring function when the battery level is extremely low. [Note 7] A system described in any one of the appendices 1 to 6, wherein the monitored terminal automatically switches to a power-saving mode that maintains essential monitoring functions while disabling other functions when the battery level falls below a threshold. (Effects of Appendix 7) When the monitored device's battery level drops, it automatically switches to power-saving mode, prioritizing the maintenance of essential monitoring functions. This allows monitoring to continue as long as possible, even in emergency situations, contributing to ensuring the safety of the person being monitored. (Addendum: Note 7a) [Issues corresponding to Appendix 7a] When deciding whether to switch to power-saving mode and determining the content of functional restrictions, the current situation of the person being monitored and the need to ensure their safety should be given greater consideration. [Note 7a] The system described in Appendix 7, wherein the automatic transition of the monitored terminal to the power-saving mode is characterized in that the analysis server device or the AI ​​within the monitored terminal determines the level of safety based on the current context and schedule position of the monitored person, and dynamically determines the content of maintaining the essential monitoring function and the content of stopping the other function according to the determined level of safety. (Effects due to Appendix 7a) The AI ​​evaluates the current context and scheduling position of the person being monitored to determine the level of safety required, and dynamically optimizes the power-saving mode accordingly. This prioritizes maintaining truly important monitoring functions in the given situation, rather than imposing uniform functional limitations. This minimizes battery consumption while maximizing the continuity and reliability of monitoring.

[0092] [Issues corresponding to Appendix 8] To suppress the physical degradation of the battery and enhance the long-term usability of the device. [Note 8] A system described in any one of the appendices 1 to 7a, wherein the advice information includes a charge control instruction that changes the charge stop voltage according to the battery health status. (Effects of Appendix 8) By including charging control instructions tailored to the battery's health status in the advice information, overcharging and other issues can be prevented, physical degradation of the battery can be suppressed, and this can contribute to extending battery life and improving the long-term usability of the device.

[0093] [Issues corresponding to Appendix 9] To improve convenience and reliability by obtaining appropriate battery information from the monitored device itself and notifying the monitored person. [Note 9] (1) A sensor unit that acquires status information of the person being monitored from at least one of the sensors, (2) A communication unit that transmits the status information and receives advice information regarding the battery, (3) An output unit that notifies the aforementioned advice information, A monitoring terminal equipped with the following features. (Effects of Appendix 9) The monitored device transmits status information acquired by the sensor unit, receives advice information based on the analysis results, and notifies the monitored person from the output unit. This allows the monitored person to recognize their battery status and take appropriate action (e.g., request charging), thus improving convenience and the reliability of monitoring.

[0094] [Issues corresponding to Appendix 10] The analysis server device generates and provides highly accurate battery-related information tailored to the monitoring situation, thereby improving the overall convenience and reliability of the system. [Note 10] (1) An acquisition unit that receives schedule information and status information of the person being monitored, (2) Analysis means that analyzes the schedule information and the status information and generates advice information regarding the battery, which is at least one of remaining time prediction or charging suggestion, (3) A transmission unit that transmits the advice information, An analysis server device equipped with the following features. (Effects of Appendix 10) The analysis server device generates highly accurate battery-related advice information, including remaining time predictions and charging suggestions, based on the schedule and status information of the person being monitored, and transmits this information to the relevant terminals. This improves the overall battery management capability of the system, enhancing user convenience and reliability. (Addendum: Note 10a) [Issues corresponding to Appendix 10a] To make the generated advice information more specific and effectively encourage behavioral change in users. [Note 10a] An analysis server device as described in Appendix 10, wherein the analysis means further comprises a battery depletion risk assessment module that evaluates the risk of the battery amount falling below the amount necessary to perform the activities included in the schedule information, and an action suggestion generation module that generates specific recommended actions to avoid or reduce the evaluated risk as advice information. (Effects due to Appendix 10a) By having AI specifically assess the battery depletion risk related to the monitored person's scheduled activities and generating advice with supporting evidence to recommend actions to avoid this, parents can make more accurate judgments and proactive measures, improving the quality and reliability of monitoring. (Addendum: Note 10b) [Issues corresponding to Appendix 10b] To provide appropriate information even in unpredictable situations. [Note 10b] An analysis server device as described in Appendix 10 or 10a, wherein the analysis means generates alert information as advice information to prompt attention and situation confirmation when the behavior of the person being monitored deviates from the schedule information by a predetermined threshold or when sudden high consumption activity is detected from the status information. (Effects due to Appendix 10b) By detecting unpredictable situations such as deviations from schedules or sudden high-spending activities, and alerting parents, the system supports responses to unforeseen circumstances and further enhances the reliability of monitoring. (Addendum: Note 10c) [Issues corresponding to Appendix 10c] In addition to the issues in [Appendix 10], [Appendix 10a], or [Appendix 10b], the system must be continuously improved and the service value enhanced. [Note 10c] An analysis server device as described in Appendix 10, 10a, or 10b, wherein the analysis means continuously learns anonymized and aggregated log data relating to the type of advice information generated, the timing of its presentation, the main contextual information on which it is based, and the user's response, and updates the advice information generation logic or related machine learning model. (Effects due to Appendix 10c) By continuously evolving the advice generation logic and models based on system usage data, we achieve sustained improvements in prediction accuracy and advice quality, thereby enhancing the long-term service value.

[0095] [Issues corresponding to Appendix 11] To provide a program that improves convenience and reliability by effectively communicating important battery-related advice to parents on parental devices and encouraging appropriate actions. [Note 11] On the computer, (1) Receiving advice information regarding the battery transmitted from the monitored terminal or the analysis server device, (2) The process of notifying the guardian of the aforementioned advice information is executed. program. (Effects of Appendix 11) The parental device program receives battery-related advice information and has the computer process it to notify the parent. This allows the parent to accurately understand the battery status of the monitored device and take necessary measures (such as charging instructions) at the appropriate time, improving the convenience and reliability of monitoring. (Addendum: Note 11a) [Issues corresponding to Appendix 11a] Optimize the way advice information is presented according to the user and the situation. [Note 11a] A parental terminal program as described in Appendix 11, characterized in that the process of notifying the parent of the advice information includes a process of dynamically changing at least one of the notification timing, display content, display format, or notification sound based on the content, urgency, or settings of the advice information. (Effects due to Appendix 11a) By optimizing the presentation method of advice information according to the situation, we can increase parents' awareness and understanding of the information, encourage more effective behavioral change, and improve usability. [Explanation of symbols]

[0096] 1… Management System 100 ... Monitoring device 101 … CPU (control unit, power saving mode control unit) 102 … ROM 103… RAM 109... System bus 110 ... Sensor section 111 … GPS receiver 112… Accelerometer 120 ... Communications Department 130 ... Output section 140 ... Battery 200… Analysis server device 201… Acquisition Department 202 … analytical means 202a ... Cloud AI model 202b… Edge AI model 202c… Battery depletion risk assessment module 202d ... Action Proposal Generation Module 203 ... Transmitter 204 … Storage section 210 ... Charge control instruction 220 … Battery depletion risk score 300 ... Parental device M1… Person being watched over M2 … Guardian NW… Network S401~S403 ... Step S601~S608 ... Step

Claims

1. It is a management system, (1) A monitoring device carried by the person being monitored, (2) An analysis server device that analyzes the schedule information and status information of the person being monitored and generates advice information regarding the battery, which includes at least one of remaining time prediction or charging suggestion, (3) A guardian terminal equipped with communication means for notifying the advice information to at least one of the monitored terminal and the guardian terminal, A management system characterized by including the following.

2. A management system according to claim 1, The management system is characterized in that the state information is based on data obtained from at least one of a position-detecting sensor or a motion-detecting sensor.

3. A management system according to claim 2, The monitoring terminal is characterized by having a control unit that dynamically changes the data collection interval from the sensor according to the remaining battery level or the urgency of the schedule.

4. A management system according to claim 1, The aforementioned analysis server device is a management system characterized by switching between inference using a model on the terminal and inference using a model on the cloud, depending on the communication status.

5. A management system according to claim 1, The aforementioned parental terminal is characterized by its ability to switch between at least two notification modes depending on the target of the notification or the level of urgency.

6. A management system according to claim 1, The analysis server device is a management system characterized by generating the advice information, including a charging suggestion, when the predicted remaining charge at the time of arrival at the destination is less than a predetermined threshold.

7. A management system according to claim 1, The aforementioned monitoring terminal is characterized by its ability to automatically switch to a power-saving mode that maintains essential monitoring functions while disabling other functions when the battery level falls below a threshold.

8. A management system according to claim 1, The management system is characterized by including a charge control instruction that changes the charge stop voltage according to the battery health status, as described above.

9. It is a monitoring device, (1) A sensor unit that acquires status information of the person being monitored from at least one of the sensors, (2) A communication unit that transmits the status information and receives advice information regarding the battery, (3) An output unit that notifies the aforementioned advice information, A monitoring terminal characterized by being equipped with the following features.

10. An analysis server device, (1) An acquisition unit that receives schedule information and status information of the person being monitored, (2) Analysis means that analyzes the schedule information and the status information and generates advice information regarding the battery, which is at least one of remaining time prediction or charging suggestion, (3) A transmission unit that transmits the advice information, An analysis server device characterized by being equipped with the following features.

11. This is a program for parental devices, On the computer, (1) Receiving advice information regarding the battery transmitted from the monitored terminal or the analysis server device, (2) The process of notifying the guardian of the aforementioned advice information is executed. A program for parental devices characterized by the following features.

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