Wearable electronic equipment for occupational environment health monitoring

Abstract

The invention discloses wearable electronic equipment for occupational environment health monitoring. The problems that existing fixed and handheld monitoring equipment is poor in real-time performance and insufficient in individual protection are solved. The wearable electronic equipment comprises a main control module, an environment sensing module, a positioning module, a motion sensor, an alarm module, a wireless communication module and a data storage module, the main control module processes the collected environment, position and activity state information, compares the information with a preset safety threshold value, immediately starts multi-mode grading alarm when dangerous parameters exceed the standard, uploads the information to a monitoring center or a cloud platform through dual-mode communication, and uploads a protection mode from passive response to active early warning. According to the invention, one-stop monitoring of a complex dangerous environment is realized, active continuous monitoring and active early warning can be realized without personnel operation, effective transmission of information is guaranteed by multi-mode alarm, an end-edge-cloud protection system is constructed, wearing is comfortable, operation is not affected, and all-weather safety monitoring is realized.

Description

Technical Field

[0001] This invention relates to the field of wearable electronic devices and industrial safety protection technology, specifically to a wearable electronic device for occupational health monitoring. Background Technology

[0002] Substation operation, equipment inspection, and emergency repair are the cornerstones of safe power system operation. The daily working environment for personnel in this field is complex and carries extremely high potential risks, including: 1. Gas risks: In enclosed GIS rooms or cable layers, leakage of sulfur hexafluoride (SF6) equipment may lead to excessively low oxygen (O2) concentration, causing asphyxiation. Furthermore, SF6 gas itself may decompose under the action of an electric arc, producing toxic substances. 2. Physical risks: Strong power frequency electromagnetic fields exist around high-voltage equipment, and long-term or excessive exposure may affect the health of workers; the noise near equipment such as transformers and reactors is huge and can easily cause hearing damage. 3. Environmental risks: Localized overheating of equipment can be predicted in advance by observing the rise in ambient temperature; smoke will be produced in the early stages of a fire (PM2.5 concentration will rise sharply); working in the dark environment poses risks such as workers accidentally touching live equipment or falling.

[0003] Currently, the safety protection of on-site workers mainly relies on fixed environmental monitoring systems and handheld detectors. Fixed monitoring systems have limited coverage and blind spots; while handheld detectors require manual operation and cannot achieve continuous, real-time monitoring, making it easy to overlook potential risks when workers are focused on their work. In addition, existing consumer-grade smart bracelets focus on health and fitness monitoring, and their sensor accuracy, monitoring items, and alarm mechanisms are completely inadequate to meet the safety protection requirements of industrial sites.

[0004] Therefore, there is an urgent need for an integrated and intelligent protective equipment that can be worn on the body, requires no human intervention, can work continuously for a long time, and can monitor, intelligently judge, and provide immediate alarms for a variety of industrial hazards in real time. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a wearable electronic device for occupational health monitoring, so as to realize all-weather, uninterrupted safety monitoring of workers in the occupational environment.

[0006] To address the aforementioned technical problems, this invention provides a wearable electronic device for occupational health monitoring, comprising: a main control module, an environmental sensing module, a positioning module, a motion sensor, an alarm module, a wireless communication module, and a data storage module; The main control module has a built-in preset safety threshold library, which is used to receive and process the information collected by the environmental sensing module, the positioning module and the motion sensor, and control the alarm module to trigger a warning or alarm and control the wireless communication module to transmit information based on the comparison result between the information and the preset safety threshold library. The environmental sensing module is connected to the main control module and is used to collect environmental parameters; The positioning module and the motion sensor are respectively connected to the main control module. The positioning module is used to collect location information, and the motion sensor is used to collect activity status information. The alarm module is connected to the main control module and is used to trigger different levels of early warning or alarm under the control of the main control module. The wireless communication module is connected to the main control module and is used to upload the collected environmental parameters, location information, activity status information and alarm information to the local monitoring center or remote cloud platform under the control of the main control module.

[0007] Preferably, the environmental sensing module is a multi-parameter environmental sensing module, including a gas sensor, an electromagnetic field sensor, a noise sensor, a temperature and humidity sensor, a particulate matter sensor, and a light sensor; the gas sensor is used to collect SF6 concentration and O2 concentration, the electromagnetic field sensor is used to collect electromagnetic field intensity, the noise sensor is used to collect noise intensity, the temperature and humidity sensor is used to collect ambient temperature and humidity, the particulate matter sensor is used to collect PM2.5 concentration, and the light sensor is used to collect ambient light intensity.

[0008] Preferably, the motion sensor is a six-axis inertial measurement unit, including a three-axis accelerometer and a three-axis gyroscope, used to detect the wearer's stationary, walking, running and falling states, wherein fall detection is achieved through preset acceleration thresholds and posture change characteristics.

[0009] Preferably, the alarm module is a multimodal alarm module, including an RGB-LED, a buzzer and a vibration motor, used to trigger a warning or alarm in at least two of the following ways: light, sound and vibration.

[0010] Preferably, the RGB-LED includes red, yellow, and green LED beads, with green indicating normal status, yellow indicating warning status, and red indicating alarm status; the buzzer emits short intermittent beeps during warning and a continuous long beep during alarm; the vibration motor vibrates intermittently during warning and vibrates continuously during alarm.

[0011] Preferably, the wireless communication module is a LORA+4G / 5G dual-mode wireless communication module, which can automatically switch from LORA mode to 4G / 5G mode when the LORA signal strength is detected to be lower than a preset threshold.

[0012] Preferably, the wearable electronic device further includes a data storage module for storing raw environmental parameter data, alarm event logs and system status information, and caching data when the network is interrupted, and resuming data transmission after the network is restored.

[0013] Preferably, the wearable electronic device further includes a power management module, which is connected to the main control module and various functional modules. The power management module is used to provide stable voltage to each module, manage the charging and discharging of the built-in lithium battery, and report the battery power status to the main control module.

[0014] Preferably, the preset safety threshold library is updated remotely via a wireless communication module, and a warning threshold and an alarm threshold are set for each environmental parameter.

[0015] Preferably, the main control module is also used to control the system to enter a low-power monitoring mode, and only wakes up through a timer interrupt when the preset sampling period arrives to perform data acquisition and processing operations.

[0016] The present invention offers the following advantages: It effectively solves the problems of insufficient real-time performance and inability to achieve individualized protection in existing fixed and handheld monitoring devices. By providing a wearable integrated solution, it brings significant benefits in several aspects: it integrates a power industry-specific SF6 / O2 sensor with general environmental sensors such as electromagnetic fields, noise, PM2.5, temperature and humidity, and light intensity, constructing a portable miniature environmental monitoring station for one-stop monitoring of complex and hazardous environments; and it utilizes built-in intelligent algorithms to fuse and analyze multi-source data, automatically triggering multi-level alarms based on preset safety thresholds, upgrading the protection mode from passive response to proactive early warning, eliminating the need for human intervention. The device can be operated by personnel for proactive and continuous monitoring. When dangerous parameters exceed the standard, a multi-modal alarm is immediately activated to buy time for personnel to take shelter. The sensors and alarm units are designed for industrial scenarios, with high accuracy and strong anti-interference capabilities. The triple alarm of sound, light and vibration ensures that alarm information is effectively transmitted under extreme conditions. Dual-mode wireless communication enables dual backup of data locally and remotely, as well as alarms, to build a three-dimensional safety protection system that is collaborative between the end, edge and cloud, providing support for safety management and big data analysis. Moreover, the device is worn on the elbow / arm, which is ergonomic and does not affect hand operations, improving the willingness and comfort of operators to wear it, and ultimately achieving all-weather, uninterrupted safety monitoring of operators. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the structure of a wearable electronic device for occupational health monitoring according to an embodiment of the present invention.

[0019] Figure 2 This is a schematic diagram of the software monitoring and threshold alarm process of a wearable electronic device for occupational environmental health monitoring according to an embodiment of the present invention.

[0020] Figure 3 This invention relates to a schematic diagram of the appearance display and interaction design of a wearable electronic device for occupational environmental health monitoring. Detailed Implementation

[0021] The following descriptions of various embodiments are based on the accompanying drawings, illustrating specific embodiments in which the present invention can be implemented. In the description of the present invention, it should be understood that the terms "longitudinal," "length," "circumferential," "front," "rear," "left," "right," "top," "bottom," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are only for the convenience of describing the present invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0022] Please refer to Figure 1 As shown, this embodiment of the invention provides a wearable electronic device for occupational environmental health monitoring, including: a main control module, an environmental sensing module, a positioning module, a motion sensor, an alarm module, a wireless communication module, and a data storage module; The main control module has a built-in preset safety threshold library, which is used to receive and process the information collected by the environmental sensing module, the positioning module and the motion sensor, and control the alarm module to trigger a warning or alarm and control the wireless communication module to transmit information based on the comparison result between the information and the preset safety threshold library. The environmental sensing module is connected to the main control module and is used to collect environmental parameters; The positioning module and the motion sensor are respectively connected to the main control module. The positioning module is used to collect location information, and the motion sensor is used to collect activity status information. The alarm module is connected to the main control module and is used to trigger different levels of early warning or alarm under the control of the main control module. The wireless communication module is connected to the main control module and is used to upload the collected environmental parameters, location information, activity status information and alarm information to the local monitoring center or remote cloud platform under the control of the main control module.

[0023] Specifically, the hardware architecture of this invention is an organic whole with a high-performance, low-power main control module at its core and various functional modules working collaboratively. In specific implementation, the main control module adopts a 32-bit low-power microcontroller (MCU) based on the ARM Cortex-M4 core, which is responsible for running control algorithms, processing sensor data, managing power supply, and coordinating communication between all modules.

[0024] Specifically, the main control module receives raw data from the multi-parameter environmental sensing module, positioning module, and motion sensor. It preprocesses this data using a built-in intelligent algorithm (including digital filtering to eliminate environmental interference and physical quantity unit conversion to unify data format). Then, it calls a built-in preset safety threshold library to compare the preprocessed data with the corresponding warning and alarm thresholds in the library to determine if the current state is normal and whether a warning or alarm needs to be triggered. Control commands are then sent to the alarm module, wireless communication module, and other modules to coordinate their operating timing (e.g., reducing the sampling frequency of unnecessary modules when the battery is low). Furthermore, the main control module communicates with the power management module in real time to obtain battery voltage and power status, dynamically adjusting the power consumption of each module based on the battery level (e.g., automatically shutting down some non-core sensing functions when the battery level is below 20%).

[0025] Understandably, the preset safety threshold library can be remotely updated via a wireless communication module to adapt to monitoring standards in different environments (such as differences in safety threshold requirements for SF6 concentration in different industries).

[0026] The environmental sensing module connects to the main control MCU through multiple interfaces to comprehensively collect environmental parameters. It integrates the following sensors: Gas sensors: including SF6 sensors based on the NDIR (non-dispersive infrared) principle and O2 sensors based on the electrochemical principle, directly targeting the most dangerous gas risks in the power industry.

[0027] Triaxial electromagnetic field sensor: used to measure the intensity of spatial vector electromagnetic fields to accurately assess electromagnetic exposure levels and monitor the effects of power frequency electromagnetic fields on the wearer in real time.

[0028] Noise sensor: a high-precision MEMS microphone that can be used with algorithms to analyze the intensity of ambient noise.

[0029] Temperature and humidity sensor: Used to monitor ambient temperature and humidity to provide early warning of overheating of equipment and to determine condensation conditions.

[0030] Particulate matter sensor (PM2.5): Uses the principle of laser scattering to monitor the concentration of smoke and dust.

[0031] Light sensor: Used to sense ambient light intensity, providing data support for determining whether the lighting conditions of the working environment meet the safe operating conditions. It can automatically adjust the screen brightness and help determine whether to enter a dark environment.

[0032] Specifically, sensors outputting digital signals, such as temperature and humidity sensors, light intensity sensors, particulate matter (PM2.5) sensors, and triaxial electromagnetic field sensors, communicate directly with the MCU via I2C or SPI buses. The analog signal output by the O2 concentration sensor, as well as the noise analog signal conditioned by a MEMS microphone and operational amplifier, are sampled via the high-precision analog-to-digital converter (ADC) pin inside the MCU. The SF6 gas sensor typically interacts with the main control MCU via a UART serial port. This multi-bus parallel connection method ensures high efficiency and real-time performance in data acquisition.

[0033] The positioning and motion module also transmits geographic location and motion posture (such as fall detection) data to the main control MCU via I2C or UART interfaces. As a viable approach, the positioning module uses a GPS + BeiDou dual-mode positioning chip, supporting sub-meter positioning accuracy in outdoor environments; in indoor or weak signal areas, meter-level positioning can be achieved through auxiliary positioning algorithms (combined with base station signals), used to record the wearer's real-time location and movement trajectory. Positioning data is updated every 30 seconds (the frequency can be adjusted via the main control module). The motion sensor is a six-axis inertial measurement unit (3-axis accelerometer + 3-axis gyroscope), which determines the wearer's activity state (such as stationary, walking, running, falling, etc.) by detecting changes in acceleration and angular velocity. Fall detection is achieved through preset acceleration thresholds (such as instantaneous acceleration > 3g) and posture change characteristics.

[0034] The dual-mode wireless communication module is connected to the main control module via a UART interface, and adopts a LoRa+4G / 5G dual-mode design, supporting automatic switching between the two communication modes. LORA mode: In areas such as substations and factory areas where LORA gateways are pre-deployed, LORA network is automatically prioritized for communication. Utilizing the low power consumption, long distance, and strong penetration characteristics of LORA, a self-organizing network is formed to aggregate data to the local monitoring center. It is suitable for short-distance, low-power data transmission, and the transmitted content includes real-time environmental parameters, location information, etc. 4G / 5G mode: When the detected LORA signal strength is lower than the preset threshold (e.g., RSSI < -100dBm), it automatically switches to 4G / 5G public network communication to upload data to the cloud platform, ensuring that alarm information and key data can still be transmitted normally in areas without LORA coverage, so as to realize remote monitoring and management.

[0035] The alarm module also adopts a multi-modal design. It is connected to the main control module via a GPIO interface and is used to trigger tiered alarms according to the instructions of the main control module, specifically including: High-brightness RGB-LED: Integrates red, yellow and green LED beads, where green indicates normal state, yellow indicates warning state (parameter is close to the threshold) and red indicates alarm state (parameter exceeds the threshold). When an alarm occurs, the red light flashes at a frequency of 1Hz. High-decibel buzzer: Maximum volume ≥85dB, emits a short beep at 2-second intervals ("beep-beep-") when warning, and emits a continuous long beep ("beep-") when alarming; High-vibration motor: It adopts an eccentric rotor motor with a vibration intensity of ≥0.8g. It vibrates intermittently at a frequency of 2Hz when warning and vibrates continuously when alarming, ensuring that the wearer can perceive the alarm signal in noisy environments.

[0036] The three alarm modes can be triggered individually or in combination (e.g., the default alarm mode includes flashing red light, continuous buzzer sound, and continuous vibration).

[0037] The power management module employs a dedicated power management chip, connecting to the main control module and other functional modules. It manages the charging and discharging of the built-in lithium battery and provides multiple stable, low-noise voltage rails to power the MCU, sensors, communication modules, and other components. Specifically, it stably converts the output voltage of the built-in lithium battery into the operating voltage required by each module (e.g., 3.3V for sensors, 5V for wireless communication modules), ensuring stable power supply and low noise. The power management module communicates with the main control MCU via an I2C interface, reporting battery voltage, power status, and other information in real time, facilitating low-power management of the system.

[0038] All critical sensor data, alarm event logs, and system status information are stored by the main control MCU in an external data storage module via the SPI interface. This allows for data caching during temporary network interruptions and subsequent transmission upon network recovery. Specifically, the data storage module stores raw environmental parameter data, alarm event logs (including alarm type, time, location, trigger parameter values, etc.), and system status information (such as module fault records) by timestamp. When the network is interrupted (e.g., the dual-mode communication module detects no signal), newly added data is automatically cached, with a cache capacity supporting continuous storage of 72 hours of sampled data. Once the network is restored, the cached data is automatically retransmitted to the local monitoring center or cloud platform in chronological order, ensuring data integrity.

[0039] Please refer to again Figure 2 As shown, the software monitoring and threshold alarm process of this invention embodiment is as follows: After the system powers on, it does not immediately enter monitoring mode. Instead, it first performs a rigorous hardware self-test process. This process verifies the basic functions of the smart bracelet's memory, each sensor in the multi-parameter environmental sensing module, the LoRa+4G / 5G dual-mode wireless communication module, and the multi-modal alarm module. This design prevents false alarms or functional deficiencies caused by hardware failures from the outset. If the hardware self-test fails, the system automatically records the corresponding error code and enters a safety lock state to prevent the generation and transmission of erroneous information. If the self-test succeeds, the system loads a preset safety threshold library from non-volatile memory. This threshold library serves as the core basis for alarm decisions, setting warning thresholds (to remind the wearer to pay attention to environmental changes) and alarm thresholds (to trigger mandatory actions) for each monitoring parameter, such as SF6 concentration, O2 concentration, and electromagnetic field strength, thus providing accurate standards for subsequent intelligent judgments.

[0040] After self-test and initialization, the system enters a low-power monitoring mode centered on timer interrupts. In this mode, the main control MCU remains in sleep mode most of the time, thus greatly reducing the overall system power consumption. Only when the preset sampling period arrives will the timer generate an interrupt signal to wake up the MCU. After waking up, the system will poll the multi-parameter environmental sensing module, positioning module, and motion sensor in an optimized order, collecting the raw data output by each module. The collected raw data will first undergo data preprocessing steps, specifically including digital filtering to eliminate noise caused by environmental interference and physical quantity unit conversion to unify the data format, thereby effectively improving the data quality and reliability.

[0041] After data preprocessing, the process enters the intelligent decision-making stage. The main control MCU compares each preprocessed environmental parameter, location information, and activity status information with the corresponding threshold in the preset safety threshold library in real time. This comparison process uses multi-level conditional judgment logic. If a parameter reaches the warning threshold, the system controls the multi-modal alarm module to trigger the corresponding level of warning prompt; if the parameter exceeds the alarm threshold, an alarm prompt is triggered. At the same time, the main control module controls the LORA+4G / 5G dual-mode wireless communication module to upload relevant parameter information and alarm events to the local monitoring center or cloud platform, and records the alarm log in the data storage module. After all operations are completed, the system switches back to low-power monitoring mode, waiting for the timer interrupt signal corresponding to the next sampling cycle, and so on in a loop.

[0042] Through the above process, the present invention not only ensures that the smart bracelet can provide wearers with all-weather occupational environment health and safety protection, but also achieves the best balance between system power consumption and monitoring performance, and can better adapt to the long-term use needs in complex industrial environments.

[0043] It should be noted that the threshold library contains early warning thresholds and alarm thresholds for each monitoring parameter. Taking a substation operation scenario as an example, the specific settings are shown in the table below:

[0044] After periodically collecting data from each sensor, the main control module immediately compares it with the threshold database. If the data is normal, it is stored and uploaded periodically. If a parameter exceeds the warning threshold but does not reach the alarm threshold (e.g., O2 concentration between 19.5% and 20%), a Level 1 warning is triggered, characterized by a slow flashing yellow LED and low-intensity intermittent vibration, alerting workers to environmental changes. If the parameter exceeds the alarm threshold (e.g., O2 concentration below 19.5%), a Level 2 severe alarm is immediately triggered, characterized by a rapid flashing red LED, high-intensity continuous vibration, and a high-decibel buzzer, forcing personnel to evacuate. Simultaneously, alarm events, real-time data, and GPS location information are transmitted with the highest priority via the wireless communication module.

[0045] The wearable electronic device for occupational environmental health monitoring in this invention is specifically a smart bracelet. Figure 3 The smart bracelet's appearance display, user interaction, and alarm interface are shown. This interface not only displays information but also integrates direct human-computer interaction and multimodal alarm output functions. The smart bracelet's display screen 1 uses a high-brightness, low-power Memory LCD or AMOLED touchscreen, ensuring clear readability in bright light and responsiveness to touch operations. Green, yellow, and red indicator lights 2, distributed above each monitoring parameter, form an intuitive and rapid status indication system: a green light indicates the parameter is within a safe range; a flashing yellow light indicates the parameter exceeds a warning threshold, prompting attention; and a flashing red light indicates the parameter exceeds an alarm threshold, requiring immediate action. This color coding allows staff to quickly assess the overall safety status without reading specific numerical values. The interface 3, displaying parameters and real-time values ​​for each monitoring area, uses a zoned, centralized display layout, placing core hazardous parameters (such as gases and electromagnetic fields) at the top with priority. All values ​​have clearly defined units, ensuring unambiguous information delivery. A small speaker 4 integrated into the side of the bracelet casing emits a high-decibel, multi-tone warning sound during an alarm, working in conjunction with the visual alarm to create an audible and visual alarm. When an alarm is triggered, after confirming the situation on site, staff can press the alarm silence button 5 to temporarily mute the buzzer, avoiding interference in scenarios requiring quiet fault diagnosis. However, the vibration and light alarms will remain active until the risk is eliminated. The power button 6 is activated by a long press and is used for powering the device on and off, and also integrates a system reset function.

[0046] The environmental sensing module of this invention's smart bracelet directly interfaces with the main control module using a compact board-to-board connector, forming a unified "sensing-processing" core. This integrated design minimizes the transmission path of analog signals, effectively suppresses electromagnetic interference, and ensures the original accuracy of the data. The wireless communication module and the positioning and motion module are physically adjacent and jointly arranged at one end of the smart bracelet. This top-centralized layout strategy significantly reduces the attenuation of wireless signals by the human body, while also reducing interference between the positioning module and the metal casing, jointly improving communication distance and positioning accuracy. The vibration motor and speaker of the alarm module are arranged on the other side, forming a weight balance with the communication end.

[0047] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention effectively solves the problems of insufficient real-time performance and inability to achieve individualized protection in existing fixed and handheld monitoring devices. By providing a wearable integrated solution, it brings several significant benefits: it integrates a power industry-specific SF6 / O2 sensor with general environmental sensors such as electromagnetic fields, noise, PM2.5, temperature and humidity, and light intensity, constructing a portable miniature environmental monitoring station to achieve one-stop monitoring of complex and hazardous environments; and it utilizes built-in intelligent algorithms to fuse and analyze multi-source data, automatically triggering multi-level alarms based on preset safety thresholds, upgrading the protection mode from passive response to proactive prevention. The device can proactively and continuously monitor without human intervention. When dangerous parameters exceed the limits, it immediately activates a multi-modal alarm, buying time for personnel to take evasive action. The sensors and alarm units are designed specifically for industrial scenarios, offering high accuracy and strong anti-interference capabilities. The triple alarm system of sound, light, and vibration ensures effective transmission of alarm information even under extreme conditions. Dual-mode wireless communication enables dual backup of data locally and remotely, as well as alarms, building a collaborative three-dimensional safety protection system that supports safety management and big data analysis. Furthermore, the device is worn on the elbow / arm, conforming to ergonomics and not affecting hand operations, thus increasing the willingness and comfort of workers to wear it. Ultimately, it achieves 24 / 7, uninterrupted safety monitoring for workers.

[0048] The above description is merely a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, any equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A wearable electronic device for occupational environmental health monitoring, characterized in that, include: The system includes a main control module, an environmental sensing module, a positioning module, a motion sensor, an alarm module, a wireless communication module, and a data storage module. The main control module has a built-in preset safety threshold library, which is used to receive and process the information collected by the environmental sensing module, the positioning module and the motion sensor, and control the alarm module to trigger a warning or alarm and control the wireless communication module to transmit information based on the comparison result between the information and the preset safety threshold library. The environmental sensing module is connected to the main control module and is used to collect environmental parameters; The positioning module and the motion sensor are respectively connected to the main control module. The positioning module is used to collect location information, and the motion sensor is used to collect activity status information. The alarm module is connected to the main control module and is used to trigger different levels of early warning or alarm under the control of the main control module. The wireless communication module is connected to the main control module and is used to upload the collected environmental parameters, location information, activity status information and alarm information to the local monitoring center or remote cloud platform under the control of the main control module.

2. The wearable electronic device according to claim 1, characterized in that, The environmental sensing module is a multi-parameter environmental sensing module, including a gas sensor, an electromagnetic field sensor, a noise sensor, a temperature and humidity sensor, a particulate matter sensor, and a light sensor. The gas sensor is used to collect SF6 concentration and O2 concentration, the electromagnetic field sensor is used to collect electromagnetic field intensity, the noise sensor is used to collect noise intensity, the temperature and humidity sensor is used to collect ambient temperature and humidity, the particulate matter sensor is used to collect PM2.5 concentration, and the light sensor is used to collect ambient light intensity.

3. The wearable electronic device according to claim 1, characterized in that, The motion sensor is a six-axis inertial measurement unit, including a three-axis accelerometer and a three-axis gyroscope, used to detect the wearer's stationary, walking, running and falling states, wherein fall detection is achieved through preset acceleration thresholds and posture change characteristics.

4. The wearable electronic device according to claim 1, characterized in that, The alarm module is a multimodal alarm module, including an RGB-LED, a buzzer, and a vibration motor, used to trigger a warning or alarm in at least two of the following ways: light, sound, and vibration.

5. The wearable electronic device according to claim 4, characterized in that, The RGB-LED includes red, yellow, and green LEDs. Green indicates normal operation, yellow indicates warning operation, and red indicates alarm operation. The buzzer emits short, intermittent beeps during warnings and a continuous long beep during alarms. The vibration motor vibrates intermittently during warnings and continuously during alarms.

6. The wearable electronic device according to claim 1, characterized in that, The wireless communication module is a LORA+4G / 5G dual-mode wireless communication module, which can automatically switch from LORA mode to 4G / 5G mode when the LORA signal strength is detected to be lower than a preset threshold.

7. The wearable electronic device according to claim 1, characterized in that, It also includes a data storage module, which stores raw environmental parameter data, alarm event logs and system status information, and caches data when the network is interrupted, and resumes data transmission after the network is restored.

8. The wearable electronic device according to claim 1, characterized in that, It also includes a power management module, which is connected to the main control module and various functional modules. The power management module is used to provide stable voltage to each module, manage the charging and discharging of the built-in lithium battery, and report the battery power status to the main control module.

9. The wearable electronic device according to claim 1, characterized in that, The preset safety threshold library is updated remotely via a wireless communication module, and warning thresholds and alarm thresholds are set for each environmental parameter.

10. The wearable electronic device according to claim 1, characterized in that, The main control module is also used to control the system to enter a low-power monitoring mode, and only wakes up through a timer interrupt when the preset sampling period arrives to perform data acquisition and processing operations.

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