Old person safe calling system and method based on multi-source positioning and intelligent early warning

Abstract

The invention discloses an old man safety calling system and method based on multi-source positioning and intelligent early warning, and relates to the field of medical auxiliary equipment.The system comprises a sending end module and a receiving end module, the sending end module takes ESP32S3 as a main control chip and is connected with a sending end buzzer and a sending end indicator light, and the receiving end module is connected with a receiving end buzzer and a receiving end indicator light; a highly-integrated ceramic double-antenna GPS positioning module and a 4G base station positioning module are integrated, a transmitting end LORA module is connected, and an MPU6050 attitude sensor is arranged in the transmitting end LORA module; the receiving end module comprises a receiving end LORA module, a receiving end buzzer, a receiving end indicating lamp, a receiving end electric quantity monitoring circuit and a receiving end battery. Through real-time monitoring of the attitude sensor and the algorithm and AI model matching and clamping, the endurance and the battery are optimized, anti-loss alarm and remote retrieval functions are achieved, the rescue efficiency is improved, and the injury risk of the old people is reduced.

Description

Technical Field

[0001] The present invention relates to the field of medical health monitoring and intelligent safety assurance technology, and specifically to a system and method for elderly safety calling based on multi-source positioning technology, intelligent sensor fusion algorithm and low-power Internet of Things communication. Background Art

[0002] Current safety devices for elderly people recovering from a stroke, those with Alzheimer's disease, and those living alone face numerous shortcomings. Existing call systems are limited in functionality, often offering only simple call functions and failing to accurately locate the elderly. This makes it difficult for guardians to quickly locate the elderly in the event of an accident, delaying rescue efforts. Some devices with positioning capabilities rely solely on GPS, with poor accuracy and significant environmental impact. Furthermore, existing devices lack real-time monitoring for abnormalities like falls, preventing them from issuing timely alerts to guardians. Furthermore, they lack intelligent power management, often rendering the devices inoperable due to battery depletion. Furthermore, their large size makes them difficult to carry, posing significant safety risks to the daily care of these elderly individuals. Summary of the Invention

[0003] The main purpose of the present invention is to provide a system and method for elderly safety calling based on multi-source positioning and intelligent early warning to solve the problems in the background technology.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: a safety call system for the elderly based on multi-source positioning and intelligent early warning, the system includes a sending end module and a receiving end module, wherein:

[0005] The transmitter module uses the ESP32S3 as the main control chip, and is connected to the transmitter buzzer and transmitter indicator light to realize the sound and light alarm during emergency calls. It integrates a highly integrated ceramic dual-antenna GPS positioning module and a 4G base station positioning module for precise positioning. At the same time, it is connected to the transmitter LoRa module to achieve stable data exchange with the receiver. The built-in MPU6050 posture sensor is used for fall detection.

[0006] The receiving end module includes a receiving end LORA module, a receiving end buzzer, a receiving end indicator light, a receiving end power monitoring circuit and a receiving end battery. The receiving end LORA module is used to receive signals from the sending end, the receiving end buzzer and the receiving end indicator light are used for alarm prompts, and the receiving end power monitoring circuit is connected to the receiving end battery to monitor the power.

[0007] Preferably, the sending end module includes an Internet of Things communication module, which uploads the call information to the APP or WeChat applet to notify the guardian. At this time, the sending end LORA module also synchronously sends the signal to the receiving end, triggering the sound and light alarm at the receiving end.

[0008] Preferably, the highly integrated ceramic dual-antenna GPS positioning module works in conjunction with the 4G base station positioning module. The former uses satellite signals to obtain location information, and the latter assists in positioning through base station signals. After the data of the two are integrated, accurate positioning of the elderly can be achieved.

[0009] Preferably, the MPU6050 attitude sensor collects attitude data such as acceleration and angular velocity of the elderly in real time, and the ESP32S3 main control chip uses the Kalman filter precision algorithm to process and analyze the data.

[0010] Preferably, the transmitting end module is equipped with a transmitting end power monitoring circuit to monitor the transmitting end battery power in real time and transmit the data to the ESP32S3 main control chip.

[0011] Preferably, the transmitting end module is equipped with a distance sensor and a motion sensor to monitor the relative position between the device and the elderly and the motion state of the device in real time.

[0012] Preferably, the system is connected to the sending end through a specially developed host computer software, and the host computer software can perform one-key multi-function custom configuration of the system and set emergency contacts of different priorities.

[0013] A preferred method for elderly safety calling based on multi-source positioning and intelligent early warning includes the following steps:

[0014] S1: After the elderly person presses the button, the ESP32S3 main control chip starts the timer, drives the buzzer to sound, and the indicator light flashes to give an alarm;

[0015] S2, GPS positioning module and 4G base station positioning module work together. The former uses satellite signals to obtain location information, and the latter uses base station signals to assist in positioning. After the two data are integrated, accurate positioning of the elderly can be achieved. Whether in open areas outdoors or complex environments such as indoors, free switching or auxiliary effective positioning can be achieved;

[0016] S3: When there is a historical WIFI network nearby, the ESP32S3 main control chip controls the device to automatically connect and upload positioning, call and other information with the help of the Internet of Things. If there is no WIFI, the device automatically switches to the built-in 4G card for data transmission to further ensure real-time data upload;

[0017] The S4 and MPU6050 attitude sensors collect real-time data on the elderly person's acceleration, angular velocity, and other posture data. The ESP32S3 main control chip uses a precise Kalman filter algorithm to process and analyze the data. Once a data change that matches the characteristics of the fall AI model library is detected, an alarm process is immediately triggered and a notification is sent to the app and WeChat mini-program.

[0018] S5, the power monitoring circuit monitors the battery power in real time and transmits the data to the ESP32S3 main control chip, which enters low-power mode at regular intervals;

[0019] S6, distance sensors, and motion sensors monitor the relative position of the device and the elderly person, as well as the device's movement status, in real time. When the device is separated from the elderly person by more than a set distance or remains stationary for a long time and does not match the elderly person's position, the ESP32S3 main control chip controls the transmitter to emit specific sound and light signals. The guardian can view the device's real-time location on the app. If the device is lost, the app can also remotely control the device to emit a louder retrieval signal.

[0020] Specifically, in step S1, the call information is uploaded to the APP or WeChat applet through the Internet of Things communication module to notify the guardian. At this time, the LORA module also synchronously sends the signal to the receiving end, triggering the sound and light alarm at the receiving end.

[0021] Specifically, in step S5, when the battery level is lower than 20%, the algorithm automatically reduces the frequency of GPS positioning, reduces the brightness of the flashing light and other non-critical functions' power consumption; when the battery level is lower than 10%, the device will continue to beep and flash a strong light to alert, and push a low battery reminder to the guardian's APP or applet.

[0022] The beneficial effects of the technical solution of the present invention are as follows: compared with existing devices with poor positioning and slow response, this device integrates multi-source positioning technology, can quickly and accurately locate the position of the elderly and notify the guardian in time, thereby improving rescue efficiency; in response to the problem that existing devices cannot monitor the elderly's falls in real time, this device uses posture sensors and algorithms for real-time monitoring and AI model matching to promptly alarm and notify the guardian when a fall occurs, thereby reducing the risk of injury to the elderly; in view of the poor power management of traditional devices, the intelligent power management system of this device can automatically adjust power consumption according to power, extend battery life and remind charging in time to ensure normal use of the device; in response to the problem that the elderly are prone to losing their pagers and finding them difficult to retrieve, this device has anti-loss alarm and remote retrieval functions to reduce the risk of device loss and loss; in order to meet the needs of different users, this device uses exclusive host computer software to achieve one-click multi-function custom configuration, thereby improving user experience.

[0023] It should be noted that, after many practical experiences, the present invention has been proven to meet the safety monitoring needs of patients in the recovery period of stroke, patients with cognitive impairments such as Alzheimer's disease, and elderly people living alone. It integrates high-precision multi-source positioning technology (GPS / 4G base station / WIFI positioning), posture recognition algorithm, low-power Internet of Things communication technology (LORA / 4G / WIFI) and intelligent power management strategy to achieve real-time monitoring and early warning of abnormal conditions of the elderly (such as falls, getting lost, and low power). Through multimodal data fusion and AI algorithm analysis, the system solves the technical defects of traditional equipment such as low positioning accuracy, high response delay, and single function, providing all-weather, highly reliable safety protection services for the elderly. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] The present invention provides an elderly safety call system based on multi-source positioning and intelligent early warning, including a sending end module and a receiving end module, wherein: the sending end module uses ESP32S3 as the main control chip, is connected to the sending end buzzer and the sending end indicator light to realize the sound and light alarm during emergency calls, and the highly integrated ceramic dual-antenna GPS positioning module works in coordination with the 4G base station positioning module. The former uses satellite signals to obtain location information, and the latter uses base station signals to assist in positioning. After the two data are fused, accurate positioning of the elderly is realized. At the same time, the sending end LORA module is connected to realize stable data interaction with the receiving end. The sending end module includes an Internet of Things communication module, which uploads the call information to the APP or WeChat applet to notify the guardian. At this time, the sending end LORA module also synchronously sends the signal to the receiving end, triggering the sound and light alarm of the receiving end. The built-in The MPU6050 attitude sensor is used for fall detection. The MPU6050 attitude sensor collects the elderly's acceleration, angular velocity and other attitude data in real time. The ESP32S3 main control chip uses the Kalman filter precision algorithm to process and analyze the data. The transmitter module is equipped with a transmitter power monitoring circuit to monitor the transmitter battery power in real time and transmit the data to the ESP32S3 main control chip; it is also equipped with a distance sensor and a motion sensor to monitor the relative position of the device and the elderly and the movement status of the device in real time; the receiver module includes a receiver LORA module, a receiver buzzer, a receiver indicator light, a receiver power monitoring circuit and a receiver battery. The receiver LORA module is used to receive signals from the transmitter, the receiver buzzer and the receiver indicator light are used for alarm prompts, and the receiver power monitoring circuit is connected to the receiver battery to monitor the power.

[0026] The system is connected to the transmitter through a specially developed host computer software. The host computer software can perform one-click multi-function custom configuration of the system and set emergency contacts of different priorities.

[0027] A method for elderly safety calling based on multi-source positioning and intelligent early warning includes the following steps:

[0028] S1. After the elderly person presses the button, the ESP32S3 main control chip starts the timer, drives the buzzer to sound, and the indicator light flashes to alarm; the call information is uploaded to the APP or WeChat applet through the IoT communication module to notify the guardian. At this time, the LoRa module also synchronously sends the signal to the receiving end, triggering the receiving end's sound and light alarm;

[0029] S2, GPS positioning module and 4G base station positioning module work together. The former uses satellite signals to obtain location information, and the latter uses base station signals to assist in positioning. After the two data are integrated, accurate positioning of the elderly can be achieved. Whether in open areas outdoors or complex environments such as indoors, free switching or auxiliary effective positioning can be achieved;

[0030] S3: When there is a historical WIFI network nearby, the ESP32S3 main control chip controls the device to automatically connect and upload positioning, call and other information with the help of the Internet of Things. If there is no WIFI, the device automatically switches to the built-in 4G card for data transmission to further ensure real-time data upload;

[0031] The S4 and MPU6050 attitude sensors collect real-time data on the elderly person's acceleration, angular velocity, and other posture data. The ESP32S3 main control chip uses a precise Kalman filter algorithm to process and analyze the data. Once a data change that matches the characteristics of the fall AI model library is detected, an alarm process is immediately triggered and a notification is sent to the app and WeChat mini-program.

[0032] S5. The power monitoring circuit monitors the battery level in real time and transmits the data to the ESP32S3 main control chip, which periodically enters low-power mode. When the battery level is lower than 20%, the algorithm automatically reduces the power consumption of non-critical functions such as GPS positioning frequency and flash brightness. When the battery level is lower than 10%, the device will continuously beep and flash a strong light to warn, and push a low-battery reminder to the guardian's app or mini-program.

[0033] S6, distance sensor, and motion sensor monitor the relative position of the device and the elderly person, as well as the device's motion status, in real time. When the device is separated from the elderly person by more than a set distance (e.g., 100 meters, which can be set in the app) or remains stationary for a long time (e.g., more than 10 minutes) and does not match the elderly person's location, the ESP32S3 main control chip controls the transmitter to emit specific sound and light signals. The guardian can view the device's real-time location on the app. If the device is lost, the app can also remotely control the device to send a louder retrieval signal.

[0034] The working principle of the present invention is to use ESP32S3 as the main control chip, and connect a buzzer and an indicator light to realize the sound and light alarm during emergency calls. It integrates a highly integrated ceramic dual-antenna GPS positioning module and a 4G base station positioning module for precise positioning, and connects the LORA module to realize stable data interaction with the receiving end. It also has a built-in MPU6050 attitude sensor for fall detection. In addition, it is equipped with a power monitoring circuit to connect the battery to realize intelligent power management, and reserves an interface for communication with the host computer software. The LORA module continuously monitors the sending end signal. When an emergency call signal is received, it drives the buzzer to sound and the indicator light to flash an alarm to remind the guardian that the elderly person needs help. At the same time, the power monitoring circuit monitors the battery power in real time. When the power is lower than the set threshold, the device end issues a low power alarm. The receiving end also has an independent information upload function, which can upload its own working status (such as whether it receives signals normally, power status, etc.) to the background server for the guardian to view.

[0035] Example: The following describes in detail the specific implementation process of the elderly safety call system and method based on multi-source positioning and intelligent early warning of this application in combination with an actual scenario.

[0036] Implementation scenario: A senior citizen with Alzheimer's disease lives alone in a community. Their children have equipped them with a safety call system for seniors described in this application. The system includes a transmitter module and a receiver module. The transmitter module is carried by the senior citizen, while the receiver module is placed in the senior citizen's home. The children also install the corresponding app on their mobile phones.

[0037] 1. Hardware composition and initialization configuration

[0038] (1) Transmitter module

[0039] Main control chip: It uses ESP32S3 chip, which has powerful processing capabilities and rich peripheral interfaces, and is responsible for the control and data processing of the entire transmitter module.

[0040] Positioning Module: The highly integrated ceramic dual-antenna GPS positioning module works in conjunction with the 4G base station positioning module. During initialization, both modules are configured to ensure they can properly receive satellite and base station signals. For example, the GPS module sets the satellite search frequency and signal strength threshold, while the 4G base station positioning module sets the base station signal search range and priority.

[0041] Communication module: Connect to the sending end LoRa module for stable data interaction with the receiving end; also equipped with an IoT communication module for communicating with APP or WeChat applet.

[0042] Attitude sensor: Built-in MPU6050 attitude sensor, used to collect the elderly's acceleration, angular velocity and other attitude data in real time.

[0043] Sound and light alarm component: connected to the sending end buzzer and the sending end indicator light, used to issue sound and light alarms in emergency calls.

[0044] Power monitoring circuit: Equipped with a transmitter power monitoring circuit, it monitors the battery power of the transmitter in real time and transmits the data to the ESP32S3 main control chip.

[0045] Distance sensor and motion sensor: monitor the relative position between the device and the elderly and the movement status of the device in real time.

[0046] IoT communication module: used to upload call information to the APP or WeChat applet to notify the guardian.

[0047] (2) Receiver Module

[0048] LORA module: used to receive signals from the transmitter.

[0049] Buzzer and indicator light: used for alarm prompts.

[0050] Power monitoring circuit and battery: monitor the battery power at the receiving end.

[0051] (3) Host computer software configuration

[0052] Children connect to the transmitter via proprietary upper computer software and can customize the system with one click, with multiple functions. For example, they can set their children as the primary emergency contact and the community hospital as the secondary emergency contact; or set an alarm to trigger when the device is separated from the elderly by more than 100 meters.

[0053] 2. Specific implementation steps

[0054] (1) Daily use and power monitoring

[0055] The transmitter's power monitoring circuit monitors the battery level in real time and transmits this data to the ESP32S3 main control chip. The chip periodically enters low-power mode to conserve power. When the battery level drops below 20%, the ESP32S3 chip uses an algorithm to automatically reduce the power consumption of non-critical functions, such as GPS positioning frequency and flash brightness, to extend device battery life.

[0056] (2) Positioning and calling for elderly people when they go out

[0057] When the elderly person goes out, they press the button on the transmitter module. The ESP32S3 main control chip starts the timer, drives the transmitter buzzer to sound, and the transmitter indicator light to flash, reminding the elderly person that the call has been sent.

[0058] The highly integrated ceramic dual-antenna GPS positioning module works in conjunction with the 4G base station positioning module. The GPS positioning module uses satellite signals to obtain location information, and the 4G base station positioning module assists in positioning through base station signals. After the two data are integrated, accurate positioning of the elderly can be achieved. Whether in open outdoor areas or complex indoor environments, free switching or auxiliary effective positioning can be achieved.

[0059] When there is a Wi-Fi network nearby, the ESP32S3 main control chip controls the device to automatically connect, and uploads location, call, and other information to the app or WeChat applet through the Internet of Things. If there is no Wi-Fi, the device automatically switches to the built-in 4G card for data transmission.

[0060] (3) Handling of abnormal situations

[0061] Fall Detection: The MPU6050 attitude sensor collects real-time data on the elderly person's posture, including acceleration and angular velocity. The ESP32S3 controller uses a precise Kalman filter algorithm to process and analyze this data. Once a data change that matches the characteristics of a fall AI model library is detected, such as a sudden acceleration or angular velocity change indicating a fall, the ESP32S3 controller uses a precise Kalman filter algorithm to process and analyze the data. Once a data change that matches the characteristics of a fall AI model library is detected, an alarm process is immediately triggered, sending a notification to the app and WeChat mini-program. Simultaneously, a buzzer sounds and an indicator light flashes on the transmitter to alert the elderly person that an alarm has been triggered.

[0062] Power Management: The transmitter's power monitoring circuit monitors the battery level in real time. When the battery level drops below 20%, an algorithm automatically reduces the frequency of GPS positioning and the brightness of the flashlight, reducing the power consumption of non-critical functions. When the battery level drops below 10%, the device will continuously beep and flash a strong light to warn the user, while also sending a low-battery reminder to the guardian's app or mini-program.

[0063] (IV) Actual operation process

[0064] During daily operation, the transmitter module operates normally, and the highly integrated ceramic dual-antenna GPS positioning module and 4G base station positioning module continue to operate, maintaining real-time monitoring of the elderly person's location. The battery monitoring circuit monitors the battery level in real time. When the battery level drops below 20%, it automatically reduces the power consumption of non-critical functions, such as the GPS positioning frequency and the brightness of the flashing light. When the battery level drops below 10%, the device emits a continuous beep and flashes a strong light alarm, and simultaneously sends a low-battery reminder to the guardian's app or mini-program.

[0065] Fall detection and alarm: The MPU6050 attitude sensor collects real-time data on the elderly person's posture, including acceleration and angular velocity. The ESP32S3 controller uses a precise Kalman filter algorithm to process and analyze this data. Once a data change matching the characteristics of a fall AI model is detected, an alarm is triggered, sending notifications to the app and WeChat mini-program.

[0066] Receiver response: The LoRa module on the receiver side receives the signal from the transmitter, driving the buzzer to sound and the indicator light to flash, alerting the guardian that the elderly person needs help. At the same time, the power monitoring circuit on the receiver side connects to the battery on the receiver side to monitor the power level and ensure the normal operation of the device.

[0067] Anti-loss and remote retrieval: Distance sensors and motion sensors monitor the relative position of the device and the elderly as well as the movement status of the device in real time. When the device is separated from the elderly by more than a set distance (such as 100 meters) or remains stationary for a long time (such as more than 10 minutes) and does not match the elderly's location, an anti-loss alarm is triggered.

[0068] (V) Practical Demonstration

[0069] Emergency call: One day, an elderly person accidentally falls at home and presses the button on the transmitter. The ESP32S3 main control chip starts the timer, drives the buzzer to sound, and the indicator light flashes to alarm. At the same time, the IoT communication module uploads the call information to the APP or WeChat applet to notify the guardian. The LORA module synchronously sends the signal to the receiver, triggering the sound and light alarm at the receiver. At this time, the GPS positioning module and the 4G base station positioning module work together to obtain the elderly person's location information. When there is a historical WIFI network nearby, the device automatically connects and uploads the positioning information; if there is no WIFI, it automatically switches to the 4G card for transmission;

[0070] This embodiment demonstrates the system's workflow through actual scenarios, including the complete process from the elderly triggering a call to the system positioning, alarm, power management, and anti-loss functions. It reflects the actual application effect of the technical solution of this application in the safety monitoring of the elderly, which not only ensures the safety of the elderly, but also improves the response efficiency of the guardian.

Claims

1. A safety call system for the elderly based on multi-source positioning and intelligent early warning, characterized in that: The system includes a transmitting end module and a receiving end module, and is characterized in that: The transmitter module uses ESP32S3 as the main control chip, connects to the transmitter buzzer and transmitter indicator light to realize the sound and light alarm during emergency calls, integrates a highly integrated ceramic dual-antenna GPS positioning module and a 4G base station positioning module for precise positioning, and connects to the transmitter LORA module to achieve stable data interaction with the receiver. It has a built-in MPU6050 posture sensor for fall detection. The receiving end module includes a receiving end LORA module, a receiving end buzzer, a receiving end indicator light, a receiving end power monitoring circuit and a receiving end battery. The receiving end LORA module is used to receive signals from the sending end, the receiving end buzzer and the receiving end indicator light are used for alarm prompts, and the receiving end power monitoring circuit is connected to the receiving end battery to monitor the power.

2. The elderly safety call system based on multi-source positioning and intelligent early warning according to claim 1 is characterized by: The sending end module includes an Internet of Things communication module, which uploads the call information to the APP or WeChat applet to notify the guardian. At this time, the sending end LORA module also synchronously sends the signal to the receiving end, triggering the sound and light alarm at the receiving end.

3. The elderly safety call system based on multi-source positioning and intelligent early warning according to claim 1 is characterized by: The highly integrated ceramic dual-antenna GPS positioning module works in conjunction with the 4G base station positioning module. The former uses satellite signals to obtain location information, while the latter assists in positioning through base station signals. After the data of the two are integrated, accurate positioning of the elderly can be achieved.

4. The elderly safety call system based on multi-source positioning and intelligent early warning according to claim 1 is characterized by: The MPU6050 attitude sensor collects the elderly's attitude data such as acceleration and angular velocity in real time, and the ESP32S3 main control chip uses the Kalman filter precision algorithm to process and analyze the data.

5. The elderly safety call system based on multi-source positioning and intelligent early warning according to claim 1 is characterized by: The transmitter module is equipped with a transmitter power monitoring circuit to monitor the transmitter battery power in real time and transmit the data to the ESP32S3 main control chip.

6. The elderly safety call system based on multi-source positioning and intelligent early warning according to claim 1 is characterized by: The sending end module is equipped with a distance sensor and a motion sensor to monitor the relative position of the device and the elderly and the motion state of the device in real time.

7. The elderly safety call system based on multi-source positioning and intelligent early warning according to claim 1 is characterized by: The system is connected to the sending end through a specially developed host computer software. The host computer software can perform one-click multi-function custom configuration of the system and set emergency contacts of different priorities.

8. A method for elderly safety calling based on multi-source positioning and intelligent early warning, characterized by: The following steps are involved: S1: After the elderly person presses the button, the ESP32S3 main control chip starts the timer, drives the buzzer to sound, and the indicator light flashes to give an alarm; S2, GPS positioning module and 4G base station positioning module work together. The former uses satellite signals to obtain location information, and the latter uses base station signals to assist in positioning. After the two data are integrated, accurate positioning of the elderly can be achieved. Whether in open areas outdoors or complex environments such as indoors, free switching or auxiliary effective positioning can be achieved; S3: When there is a historical WIFI network nearby, the ESP32S3 main control chip controls the device to automatically connect and upload positioning, call and other information with the help of the Internet of Things. If there is no WIFI, the device automatically switches to the built-in 4G card for data transmission to further ensure real-time data upload; The S4 and MPU6050 attitude sensors collect real-time data on the elderly person's acceleration, angular velocity, and other posture data. The ESP32S3 main control chip uses a precise Kalman filter algorithm to process and analyze the data. Once a data change that matches the characteristics of the fall AI model library is detected, an alarm process is immediately triggered and a notification is sent to the app and WeChat mini-program. S5, the power monitoring circuit monitors the battery power in real time and transmits the data to the ESP32S3 main control chip, which enters low-power mode at regular intervals; S6, distance sensors, and motion sensors monitor the relative position of the device and the elderly person, as well as the device's movement status, in real time. When the device is separated from the elderly person by more than a set distance or remains stationary for a long time and does not match the elderly person's position, the ESP32S3 main control chip controls the transmitter to emit specific sound and light signals. The guardian can view the device's real-time location on the app. If the device is lost, the app can also remotely control the device to emit a louder retrieval signal.

9. The elderly safety calling method based on multi-source positioning and intelligent early warning according to claim 8 is characterized by: In step S1, the call information is uploaded to the APP or WeChat applet through the Internet of Things communication module to notify the guardian. At this time, the LORA module also synchronously sends the signal to the receiving end, triggering the sound and light alarm at the receiving end.

10. The elderly safety calling method based on multi-source positioning and intelligent early warning according to claim 8 is characterized by: In step S5, when the battery level is lower than 20%, the algorithm automatically reduces the frequency of GPS positioning, reduces the brightness of the flashing light and other non-critical functions' power consumption; when the battery level is lower than 10%, the device will continue to beep and flash a strong light to alert, and push a low battery reminder to the guardian's APP or applet.