Early warning system based on wearable device

Abstract

The invention relates to an early warning system based on a wearable device, and the system is characterized in that the system comprises a communication module which is used for carrying out data communication with an external device or system; the fusion positioning module is used for receiving and processing data from a plurality of positioning sources and providing high-precision positioning information; the input and output module is used for receiving an input instruction of a user and displaying output information of the system to the user; and the processor is used for controlling and managing the communication module, the fusion positioning module and the input and output module. High-precision positioning is realized through the fusion positioning module, and the early warning accuracy is ensured; the communication module ensures real-time data interaction with external equipment or a system; the input and output module provides convenient user interaction experience, the whole system is efficiently controlled by the processor, and the early warning efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of material network equipment, and in particular to an early warning system based on wearable equipment. Background Art

[0002] During railway construction, especially when working in tunnels, the safety of construction workers is of vital importance. Due to the particularity of the tunnel environment, construction workers need to carry some self-rescue equipment to ensure that they can quickly take countermeasures in an emergency.

[0003] In existing devices, it is usually the limitation of a single positioning source that makes traditional wearable devices lack positioning accuracy. Because positioning technologies such as GPS are subject to signal obstruction or interference in certain environments, the positioning error is large and cannot meet the needs of high-precision early warning. Therefore, how to improve positioning accuracy has become an urgent problem to be solved. Secondly, the demand for real-time data interaction is a challenge for traditional wearable devices. In an emergency, users need to quickly pass the warning information to relevant personnel or systems so that timely measures can be taken. However, traditional wearable devices may have deficiencies in data transmission speed and stability, resulting in delayed or lost information transmission, thereby affecting the timeliness of the warning. Summary of the invention

[0004] In view of the above situation, it is necessary to provide an early warning system based on a wearable device that solves at least one of the above problems, including:

[0005] Communication module: used for data communication with external devices or systems;

[0006] Fusion positioning module: used to receive and process data from multiple positioning sources to provide high-precision positioning information;

[0007] Input and output module: used to receive user input instructions and display the system's output information to the user;

[0008] The processor is used to control and manage the communication module, the fusion positioning module and the input and output module.

[0009] Preferably, the communication module includes a 4G module, a 4G antenna, a UART interface and an SPI interface. The 4G module is used for data transmission and converts the received data into a format recognizable by the system. The 4G antenna is used to receive and send 4G network signals. The UART interface and the SPI interface are used for serial communication with other devices.

[0010] Preferably, the fusion positioning module includes a Beidou antenna, an IPEX interface, an RTK radio frequency link and an RTK intermediate frequency, a B3 radio frequency link and an RN intermediate frequency. The Beidou antenna is used to receive signals from the Beidou satellite navigation system, the IPEX interface is used to connect the Beidou antenna and subsequent radio frequency processing components, the RTK radio frequency link and the RTK intermediate frequency are responsible for processing the radio frequency signal received from the Beidou antenna and converting it into an intermediate frequency signal, and the B3 radio frequency link and the RN intermediate frequency are used for the radio frequency link and intermediate frequency processing of the Beidou B3 frequency band.

[0011] Preferably, the fusion positioning module also includes an inertial navigation sensor and a barometer to perform autonomous positioning or auxiliary positioning in an environment where satellite signals cannot be received.

[0012] Preferably, it also includes a safety threshold setting module, where the user can set the safety threshold of position movement. When the fusion positioning module detects that the safety threshold is exceeded, a warning is issued to the user through the input and output module, and the location information is sent to the preset emergency contact.

[0013] Preferably, it also includes a time period position monitoring module for monitoring the position change safety threshold within a specific time period.

[0014] Preferably, it also includes an emergency situation judgment module for monitoring the user's motion data. When the user is in a stationary state for more than 10 minutes and the system detects that the user's heart rate is lower than 50 beats per minute or higher than 150 beats per minute, it will be judged that the user is in an emergency situation.

[0015] Preferably, a health status monitoring module is also included for monitoring the user's blood pressure and heart rate data in real time.

[0016] Preferably, it also includes a battery power monitoring module for real-time detection of battery power, and automatically reducing the power consumption of the module when the battery power is lower than 10%. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the connection of the wearable device-based early warning system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clear, the following is a further detailed description of the early warning system based on wearable devices of the present invention in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] In the description of the present invention, unless otherwise specified, "multiple" means two or more; the terms "center", "longitudinal", "lateral", "up", "down", "left", "right", "inside", "outside", "front end", "rear end", "head", "tail", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third" and the like are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0020] In the description of this utility, it should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this utility can be understood by specific circumstances.

[0021] See also Figure 1 The wearable device-based early warning system of the embodiment of the present invention includes a communication module: used for data communication with an external device or system; a fusion positioning module: used for receiving and processing data from multiple positioning sources to provide high-precision positioning information; an input-output module: used for receiving user input instructions and displaying system output information to the user; a processor, used for controlling and managing the communication module, the fusion positioning module and the input-output module.

[0022] In the above embodiment, the fusion positioning module is responsible for receiving and processing data from multiple positioning sources. It collects signals sent by positioning sources such as GPS, Bluetooth beacons, Wi-Fi hotspots, etc. in real time and performs preliminary processing. Through the fusion positioning algorithm, the module fuses data from different positioning sources to eliminate errors and improve positioning accuracy and stability. The fusion positioning technology fully considers factors such as signal strength, propagation delay, and multipath effect to ensure the accuracy and reliability of the positioning results. At the same time, the fusion positioning module also has dynamic adjustment capabilities, and can adaptively adjust the positioning algorithm and parameter settings according to the user's mobile state and environmental changes to adapt to various complex application scenarios. The communication module is used for data communication between the early warning system and external devices or systems. Wireless communication technologies such as Bluetooth, Wi-Fi, cellular networks, etc. are used to ensure the stability and reliability of data transmission. The communication module encodes and packages the data to be transmitted to adapt to different communication protocols and transmission media. At the transmitting end, the module converts digital signals into radio waves for transmission; at the receiving end, the module uses a demodulator to decode and unpack the received signals to restore the original data. In addition, the communication module also has data verification and error correction functions, which can detect the integrity and correctness of data packets in real time during data transmission to ensure the accuracy and reliability of transmitted data. The input and output module is the early warning system interacting with the user. It supports multiple input methods, such as touch screen, buttons, voice, etc., so that users can easily input instructions or information. After receiving the user input command, the module will parse and identify the command content, and call the corresponding processing program or algorithm for processing. At the same time, the input and output module is also responsible for displaying the output information of the system to the user. It uses intuitive and easy-to-understand display methods, such as text, images, sounds, etc., so that users can quickly understand the working status and early warning information of the system. The processor, as a control unit, is responsible for controlling and managing the operation of each module. The processor constantly monitors the status and command requests of each module, and calls the corresponding processing program or algorithm for processing according to the command type and parameter settings. At the same time, the processor also monitors the system's working status and performance indicators in real time, such as CPU occupancy, memory usage, etc., to ensure the stability and reliability of the system. In addition, the processor also supports a variety of extended functions and interface protocols, such as Bluetooth, Wi-Fi, USB, etc., to connect and communicate with other devices or systems. In summary, the wearable device-based early warning system of the embodiment of the present invention realizes the real-time acquisition, processing and display of information and the stable operation of the entire system by integrating the collaborative work of the positioning module, communication module, input and output module and processor.

[0023] Please refer to Figure 1In another embodiment, the communication module includes a 4G module, a 4G antenna, a UART interface and an SPI interface. The 4G module is used for data transmission and converts the received data into a format recognizable by the system. The 4G antenna is used to receive and send 4G network signals. The UART interface and the SPI interface are used for serial communication with other devices.

[0024] In the above embodiment, when the early warning system needs to receive or send data from the outside, the 4G module will be activated. It integrates functions such as radio frequency and baseband, and can connect to the base station through the 4G network to realize network dialing and data transmission. When receiving external data, the 4G module will convert these data into a format recognizable by the system to ensure that the system can correctly interpret and process this information. Similarly, when the system needs to send data to the outside, the 4G module will also convert these data into a format suitable for 4G network transmission and send it through the 4G network. At the same time, the 4G antenna plays an important role in receiving and sending 4G network signals in the communication module, responsible for converting electromagnetic wave signals into electrical signals, or converting electrical signals into electromagnetic wave signals. When the 4G module needs to send data, the 4G antenna converts electrical signals into electromagnetic wave signals and sends them through the 4G network. When the 4G antenna receives external 4G network signals, it converts these signals into electrical signals and transmits them to the 4G module for processing. In this way, through the collaborative work of the 4G module and the 4G antenna, the early warning system can achieve stable communication with the outside world. The UART interface is a universal asynchronous receiver-transmitter transmission interface, which uses a serial transmission mode, that is, data is transmitted one bit at a time. This transmission mode can reduce the number and complexity of transmission lines and improve system integration and reliability. The UART interface transmits data through a pre-agreed data frame format and identifies the start and end positions of the data through specific control bits. In the early warning system, the UART interface is mainly used for serial communication with other devices, such as data exchange with sensors, controllers and other devices. Through the UART interface, the early warning system can obtain data from these devices in real time, thereby achieving comprehensive monitoring of the environment. Similar to the UART interface, the SPI interface is also a serial communication interface. However, unlike the UART, the SPI interface is a synchronous serial data transmission protocol that uses a synchronous transmission mode, supports full-duplex communication, and is usually faster than the UART. The SPI interface consists of four lines: MOSI (master output / slave input), MISO (master input / slave output), SCK (clock signal) and CS (chip select signal). In the early warning system, the SPI interface is mainly used to connect microprocessors and various peripherals, such as memory, sensors, etc. Through the SPI interface, the microprocessor can read and write data from these peripherals at high speed and accurately, ensuring the real-time and accuracy of the early warning system.

[0025] Please refer to Figure 1 In another embodiment, the fusion positioning module includes a Beidou antenna, an IPEX interface, an RTK radio frequency link and an RTK intermediate frequency, a B3 radio frequency link and an RN intermediate frequency, the Beidou antenna is used to receive signals from the Beidou satellite navigation system, the IPEX interface is used to connect the Beidou antenna and subsequent radio frequency processing components, the RTK radio frequency link and the RTK intermediate frequency are responsible for processing the radio frequency signal received from the Beidou antenna and converting it into an intermediate frequency signal, and the B3 radio frequency link and the RN intermediate frequency are used for the radio frequency link and intermediate frequency processing of the Beidou B3 frequency band.

[0026] In the above embodiment, the Beidou antenna is responsible for capturing and receiving signals from the Beidou satellite navigation system. The Beidou antenna can accurately capture these weak satellite signals through the antenna array and transmit them to the subsequent processing components. Next, the IPEX interface is used to connect the Beidou antenna and the subsequent RF processing components. The IPEX interface is a miniature coaxial connector with excellent electrical performance and mechanical stability, which can ensure the stability and reliability of the signal during transmission. Through the IPEX interface, the satellite signal received by the Beidou antenna can be transmitted losslessly to the RTK RF link and the B3 RF link. RTK (real-time dynamic differential positioning) technology is a high-precision positioning technology that receives signals from multiple satellites and uses carrier phase observations for differential calculations to eliminate error sources such as satellite clock errors and ephemeris errors, thereby achieving centimeter-level or even millimeter-level positioning accuracy. The RTK RF link is responsible for receiving the RF signal from the Beidou antenna and transmitting it to the RTK intermediate frequency. In the RTK intermediate frequency, the signal undergoes a series of digital signal processing algorithms, such as filtering, amplification, demodulation, etc., and finally converts the RF signal into an intermediate frequency signal. Compared with RF signals, IF signals have higher stability and anti-interference ability, and are more suitable for subsequent digital signal processing and calculation. B3 RF link and RN IF are responsible for processing the B3 band signal of Beidou. Beidou B3 band is an important band in the Beidou satellite navigation system, with higher signal strength and better anti-interference ability. B3 RF link is responsible for receiving the B3 band RF signal from the Beidou antenna and transmitting it to RN IF. In RN IF, the signal also undergoes digital signal processing algorithms, such as filtering, amplification, demodulation, etc., and finally converts the RF signal into IF signal. Similar to RTK RF link and IF, the processing process of B3 RF link and RN IF is also to improve the stability and anti-interference ability of the signal, and ensure the accuracy and reliability of subsequent positioning calculation. After completing the conversion of RF signal to IF signal, these IF signals will be sent to the digital signal processing part of the positioning module for further processing and calculation. In the digital signal processing part, the system will perform a series of complex operations and analyses on the IF signal, such as extraction of carrier phase observation values, differential calculation, error correction, etc., so as to obtain high-precision positioning information. These positioning information will serve as an important input for the early warning system, providing the system with accurate location information and navigation services. In short, the fusion positioning module realizes the efficient reception, processing and conversion of Beidou satellite navigation system signals by integrating components and technologies such as Beidou antenna, IPEX interface, RTK RF link and RTK intermediate frequency, B3 RF link and RN intermediate frequency. In this process, the collaborative work between various components ensures the stability and reliability of the signal, providing high-precision and high-reliability positioning services for the early warning system.

[0027] Please refer to Figure 1In another embodiment, the fusion positioning module also includes an inertial navigation sensor and a barometer to perform autonomous positioning or assisted positioning in an environment where satellite signals cannot be received.

[0028] In the above embodiment, the inertial navigation sensor, including a gyroscope, an accelerometer and a magnetometer, is one of the core parts of the fusion positioning module. The gyroscope measures the angular velocity of the device to infer the attitude change, and the accelerometer measures the acceleration of the device and integrates the velocity and displacement information. The combination of these two sensors can track the motion state of the device in real time and provide relatively accurate positioning data even when the satellite signal is lost. However, since the integration of the accelerometer data will accumulate errors, long-term use will lead to a decrease in positioning accuracy. To overcome this problem, a magnetometer is used to assist the gyroscope and accelerometer in attitude estimation. The magnetometer determines the absolute direction of the device by measuring the direction and strength of the earth's magnetic field, helping to correct the accumulated errors of the gyroscope and accelerometer during long-term operation. This combination makes the inertial navigation sensor have high accuracy and reliability in autonomous positioning. As another important component of the fusion positioning module, the barometer is responsible for providing information about the vertical position of the device. The barometer measures the atmospheric pressure to infer the altitude, which is crucial to improving positioning accuracy. Although the barometer is easily affected by factors such as weather changes, the altitude data it provides is still highly reliable in a short period of time.

[0029] In the fusion positioning module, the inertial navigation sensor and the barometer work in coordination with each other. When satellite signals are unavailable, the inertial navigation sensor provides horizontal position, speed and attitude information, while the barometer provides vertical height information. These two types of information are fused and optimized through the intelligent algorithm in the fusion positioning module to obtain more accurate autonomous positioning results.

[0030] In another embodiment, it also includes a safety threshold setting module, where the user can set a safety threshold for position movement. When the fusion positioning module detects that the safety threshold is exceeded, a warning is issued to the user through the input and output module, and the location information is sent to a preset emergency contact.

[0031] In the above embodiment, the user's position change is monitored in real time by setting the safety threshold of position movement. Users can set different safety thresholds through input and output modules (such as mobile phone APP, control panel, etc.) according to their needs. These thresholds can be various indicators such as distance, speed or time to meet the safety needs in different scenarios. Once the user sets the safety threshold, the fusion positioning module will start to track the user's position changes in real time. It uses built-in inertial navigation sensors and barometers and other sensors, combined with satellite positioning data (when the signal is available), to perform high-precision positioning of the user's position. At the same time, the safety threshold setting module will continue to compare the changes between the current position and the last recorded position to determine whether it exceeds the safety threshold set by the user. When the fusion positioning module detects that the user's position change exceeds the safety threshold, the safety threshold setting module will immediately trigger the warning and emergency contact notification mechanism. First, through the input and output modules (such as pop-up prompts of mobile phone APP, sound and light alarms of control panel, etc.), an obvious warning signal is sent to the user to remind the user to pay attention to his own safety. This immediate warning can help users respond quickly in an emergency and take necessary self-rescue measures. At the same time, the safety threshold setting module will automatically send real-time location information to the preset emergency contact. These emergency contacts can be the user's family, friends or rescue agencies, etc. After receiving the location information, they can quickly understand the user's current situation and take appropriate rescue measures. This emergency contact notification mechanism provides users with additional security and ensures that they can get timely help and support in an emergency.

[0032] In another embodiment, a time period position monitoring module is further included, which is used to monitor the position change safety threshold within a specific time period.

[0033] In the above embodiment, the user needs to set a specific time period and the corresponding location change safety threshold. These settings can be flexibly adjusted according to actual needs, such as setting the threshold size according to factors such as working hours and activity range. Once the settings are completed, the monitoring module will start to operate and collect the location data of the target in real time. In the process of collecting data, the monitoring module will use a variety of positioning technologies to obtain accurate information. Including GPS, Bluetooth beacons, Wi-Fi signal strength analysis technology, depending on the application scenario and target type. These technologies have different performances in different environments and conditions, so they may need to be used and optimized in combination in actual applications. When enough data is collected, the monitoring module will enter the data analysis stage. It will compare the actual location change with the preset safety threshold to determine whether there is a situation that exceeds the threshold. If an abnormal situation is detected, the monitoring module will immediately trigger the alarm mechanism and send a warning message to the relevant user. The warning information here can be varied, such as push notifications through mobile phone APP, sending emails, or generating alarm logs. This information is intended to promptly remind users to pay attention to potential risks or abnormal behaviors, and take necessary measures to intervene and deal with them.

[0034] In another embodiment, an emergency situation judgment module is also included, which is used to monitor the user's motion data. When the user is in a stationary state for more than 10 minutes and the system detects that the user's heart rate is lower than 50 beats per minute or higher than 150 beats per minute, it will be judged that the user is in an emergency situation.

[0035] In the above embodiment, the emergency situation determination module continuously monitors the user's motion data through built-in motion sensors (such as accelerometers, gyroscopes, etc.). These sensors can capture the user's movements and posture changes to determine whether the user is in motion or static. When the user is static, the sensor data will remain stable without significant changes in acceleration or angular velocity. The module will continuously analyze and calculate these data to determine the duration of the user's static state.

[0036] While the user is in a stationary state, the emergency judgment module will also detect the user's heart rate through an integrated heart rate monitor. The heart rate monitor usually uses photoplethysmography (PPG) or electrocardiogram (ECG) technology to accurately obtain the user's heart rate data by measuring the changes in the absorption of light or the changes in electrical signals by blood flow when the heart beats. These data will be transmitted to the module in real time and accurately analyzed and processed. Next, the emergency judgment module will make a comprehensive judgment based on the motion data and heart rate data. According to the preset rules and algorithms, when the user is in a stationary state for more than 10 minutes, the module will enter the emergency judgment process. At this time, the module will check the user's heart rate data to determine whether it is less than 50 beats per minute or more than 150 beats per minute. These two heart rate thresholds are usually set based on medical research and clinical experience to identify abnormal heart rate conditions, which may indicate that the user has a health problem or emergency. If the user's heart rate data meets both of the above conditions (i.e., the stationary state exceeds 10 minutes and the heart rate is abnormal), the emergency judgment module will immediately trigger the emergency judgment. Once the emergency situation is determined to be a user emergency situation, the emergency situation determination module will immediately initiate the corresponding emergency measures. First, the module will issue an emergency warning to the user through the built-in alarm system (such as sound, vibration, etc.) to remind the user to pay attention to their own situation. At the same time, the module will also transmit the emergency situation information to the user's mobile device or remote monitoring center through wireless communication technology (such as Bluetooth, Wi-Fi, mobile data, etc.).

[0037] In another embodiment, a health status monitoring module is also included for monitoring the user's blood pressure and heart rate data in real time.

[0038] In the above embodiment, the health status monitoring module collects the user's blood pressure and heart rate data through built-in sensors. For blood pressure monitoring, a cuff-type sphygmomanometer or non-invasive blood pressure monitoring technology, such as oscillometric method or arterial tension measurement method, is usually used. These technologies apply pressure to the user's upper arm or wrist through a cuff or sensor to detect the pressure changes caused by arterial blood flow, thereby calculating systolic and diastolic pressures. For heart rate monitoring, a heart rate sensor, such as a photoplethysmography (PPG) sensor or an electrocardiogram (ECG) sensor, is used. These sensors obtain the user's heart rate data by detecting changes in the absorption of light or changes in electrical signals by blood flow when the heart beats. The collected blood pressure and heart rate data will undergo a series of processing steps to ensure the accuracy and reliability of the data. First, the module will filter and amplify the raw data to eliminate noise and interference signals and improve the quality of the data. Then, the data is digitized through built-in algorithms and chips to convert analog signals into digital signals for subsequent analysis and storage. In addition, the module will calibrate and verify the data to ensure the accuracy and consistency of the measurement results. The processed data is transmitted to the data analysis unit of the health status monitoring module. This unit uses advanced algorithms and models to conduct in-depth analysis and interpretation of blood pressure and heart rate data. First, the module calculates the user's average blood pressure and heart rate values ​​and compares them with the preset normal range. If the data is outside the normal range, the module will further analyze the cause and extent of the abnormality. For example, for abnormal blood pressure, the module will consider factors such as the user's age, gender, weight, and whether there are other chronic diseases or risk factors to assess the risk level of abnormal blood pressure. For abnormal heart rate, the module will analyze the trend of heart rate changes, the fluctuation range, and whether there are arrhythmias.

[0039] In another embodiment, a battery power monitoring module is further included, which is used to detect the battery power in real time, and automatically reduce the power consumption of the module when the battery power is lower than 10%.

[0040] In the above embodiment, when the battery power is lower than a preset threshold (such as 10%), the module triggers a power reduction mechanism. This mechanism includes shutting down or reducing the power consumption of non-essential functional modules, such as reducing the CPU frequency, reducing the screen brightness, shutting down background application updates, etc., to reduce the consumption of battery power. At the same time, the module will also send a notification to the user to remind them that the battery power is low and needs to be charged. In this way, the battery power monitoring module not only ensures that the device can continue to work when the battery is low, but also extends the battery life.

[0041] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technician familiar with this profession can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. An early warning system based on wearable devices, characterized in that: include: Communication module: used for data communication with external devices or systems; Fusion positioning module: used to receive and process data from multiple positioning sources to provide high-precision positioning information; Input and output module: used to receive user input instructions and display the system's output information to the user; The processor is used to control and manage the communication module, the fusion positioning module and the input and output module.

2. The wearable device-based early warning system according to claim 1, characterized in that: The communication module includes a 4G module, a 4G antenna, a UART interface and an SPI interface. The 4G module is used for data transmission and converts the received data into a format recognizable by the system. The 4G antenna is used to receive and send 4G network signals. The UART interface and the SPI interface are used for serial communication with other devices.

3. The wearable device-based early warning system according to claim 1, characterized in that: The fusion positioning module includes a Beidou antenna, an IPEX interface, an RTK radio frequency link and an RTK intermediate frequency, a B3 radio frequency link and an RN intermediate frequency. The Beidou antenna is used to receive signals from the Beidou satellite navigation system. The IPEX interface is used to connect the Beidou antenna and subsequent radio frequency processing components. The RTK radio frequency link and the RTK intermediate frequency are responsible for processing the radio frequency signal received from the Beidou antenna and converting it into an intermediate frequency signal. The B3 radio frequency link and the RN intermediate frequency are used for the radio frequency link and intermediate frequency processing of the Beidou B3 frequency band.

4. The wearable device-based early warning system according to claim 1, characterized in that: The fusion positioning module also includes an inertial navigation sensor and a barometer, which performs autonomous positioning or auxiliary positioning in an environment where satellite signals cannot be received.

5. The wearable device-based early warning system according to claim 1, characterized in that: It also includes a safety threshold setting module, where the user can set a safety threshold for position movement. When the fusion positioning module detects that the safety threshold is exceeded, a warning is issued to the user through the input and output module, and location information is sent to a preset emergency contact.

6. The wearable device-based early warning system according to claim 1, characterized in that: It also includes a time period position monitoring module for monitoring the position change safety threshold within a specific time period.

7. The wearable device-based early warning system according to claim 1, characterized in that: It also includes an emergency situation judgment module, which is used to monitor the user's motion data. When the user is in a stationary state for more than 10 minutes and the system detects that the user's heart rate is lower than 50 beats per minute or higher than 150 beats per minute, it will be judged that the user is in an emergency situation.

8. The wearable device-based early warning system according to claim 1, characterized in that: It also includes a health status monitoring module for real-time monitoring of the user's blood pressure and heart rate data.

9. The wearable device-based early warning system according to claim 1, characterized in that: It also includes a battery power monitoring module for real-time detection of battery power. When the battery power is less than 10%, the power consumption of the module is automatically reduced.

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