Field safety monitoring rescue system

Abstract

The invention relates to the technical field of safety monitoring, in particular to a field safety monitoring rescue system which comprises a wearable monitoring terminal used for collecting vital signs and environmental data of a user in real time; the Beidou / GPS dual-mode positioning module is used for realizing sub-meter position tracking; a dangerous behavior recognition algorithm and a self-adaptive threshold analysis module are arranged in the central processing unit; the multi-link communication system supports satellite communication, LoRa long-distance transmission and 4G / 5G automatic switching; the autonomous rescue unmanned aerial vehicle is provided with a medical material delivery cabin and an infrared thermal imager; reliable transmission of help seeking information in a non-signal area is ensured through multi-link communication, the LSTM neural network is fused with multi-dimensional data to reduce the false alarm rate, the rescue unmanned aerial vehicle can reach the range of 10 kilometers within 5 minutes, 72-hour continuous monitoring is guaranteed through flexible solar power supply, an optimal evacuation scheme is provided through dynamic path planning, the rescue probability of persons in distress is improved, and the rescue efficiency of the persons in distress is improved. And meanwhile, the rescue cost and risk are remarkably reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of safety monitoring, and in particular to a field safety monitoring and rescue system. Background Art

[0002] At present, outdoor activities such as wilderness exploration, geological exploration, and mountaineering are becoming increasingly popular. However, due to the complex and changeable outdoor environment, people are frequently in distress. Existing outdoor safety monitoring systems mostly use GPS positioning and simple vital sign detection, such as heart rate monitoring and SOS distress functions. However, these systems usually rely on a single communication link and cannot send out distress signals in a timely manner when signal coverage is insufficient in remote areas. In addition, the existing systems have a relatively simple judgment of user status and only trigger alarms based on preset thresholds, which can easily lead to rescue delays due to false alarms or missed alarms.

[0003] The existing field safety monitoring system has a single communication method and cannot guarantee the reliable transmission of distress signals in areas without network coverage. At the same time, the danger judgment algorithm is simple and relies only on static thresholds. It cannot adapt to the physiological characteristics of different users and environmental changes, resulting in a high false alarm rate. Rescue response relies on manual scheduling and lacks automated rescue equipment, which delays the golden rescue time. At the same time, energy management is extensive, and the equipment's battery life is insufficient in extreme environments, which may cause monitoring failure due to power exhaustion.

[0004] Therefore, in response to the above problems, the present invention proposes a field safety monitoring and rescue system, which ensures signal transmission through multi-link communication, combines AI algorithms to improve the accuracy of hazard identification, introduces drones to achieve rapid material delivery, and optimizes energy management to extend the equipment's battery life. Summary of the Invention

[0005] In order to overcome the problems of low communication reliability, insufficient hazard identification accuracy, delayed rescue response and limited endurance of existing field safety monitoring and rescue systems, the present invention proposes a field safety monitoring and rescue system.

[0006] The technical solution of the present invention is: a field safety monitoring and rescue system, comprising:

[0007] Wearable monitoring terminal, used to collect user vital signs and environmental data in real time;

[0008] Beidou / GPS dual-mode positioning module enables sub-meter location tracking;

[0009] Central processing unit with built-in dangerous behavior recognition algorithm and adaptive threshold analysis module;

[0010] Multi-link communication system, supporting satellite communication, LoRa long-distance transmission and 4G / 5G automatic switching;

[0011] Autonomous rescue drone equipped with a medical supplies delivery cabin and infrared thermal imager.

[0012] Preferably, the wearable monitoring terminal integrates a three-axis acceleration sensor, a blood oxygen / heart rate sensor and an environmental sensor group. The three-axis acceleration sensor is used to detect the user's abnormal movement state and distinguish normal movement from dangerous actions through a dynamic threshold algorithm; the blood oxygen / heart rate sensor adopts reflective photoelectric measurement technology and improves measurement accuracy through a PPG signal compensation algorithm in the movement state; the environmental sensor group includes a barometer, a temperature and humidity sensor and an ultraviolet intensity sensor, among which the barometer data is used to monitor altitude changes and calculate the perceived temperature in combination with the temperature and humidity data. The ultraviolet sensor adopts a wide-spectrum detection module, outputs the UVA / UVB index in real time, and reminds the user to wear sunscreen through a vibration motor.

[0013] Preferably, the dangerous behavior recognition algorithm adopts an improved LSTM neural network, and the input data includes heart rate variation coefficient greater than 0.5 for 30 minutes, which is judged as abnormal cardiac load, hypothermia / heatstroke warning is triggered when the body temperature is lower than 35°C or higher than 38.5°C for 2 hours, and the vital signs review process is initiated when the static state duration exceeds the preset threshold and there is no micro-motion signal; the algorithm output layer uses a Sigmoid function to calculate the probability of danger, and automatically upgrades the warning level when the comprehensive score exceeds 0.75. At the same time, an attention mechanism is introduced to weightedly process sudden abnormal data.

[0014] Preferably, the multi-link communication system includes a communication quality assessment module and an adaptive switching module. The communication quality assessment module calculates the signal-to-noise ratio and packet loss rate in real time, and determines that the channel is degraded when the SNR is less than 10dB and the packet loss rate is greater than 15%; the adaptive switching module automatically enables the satellite link when the 4G / 5G signal strength is less than -90dBm. The switching process uses a dual-stack protocol to maintain data transmission continuity. Satellite communication preferentially uses the Beidou short message protocol, and the transport layer uses TLS1.3 encryption. The data compression rate is not less than 60%, and the preset emergency communication mode can forcibly occupy the channel bandwidth.

[0015] Preferably, the autonomous rescue drone includes a rapid deployment module, a route planning module and an acoustic and light guidance device. The rapid deployment module completes take-off preparation within 90 seconds after receiving the distress signal, including self-checking the navigation system, unfolding and folding the rotors, and loading preset waypoints; the route planning module uses the A* algorithm to dynamically avoid terrain obstacles, integrates real-time wind field data to adjust the flight altitude, the waypoint interval does not exceed 50 meters, and 3 backup paths are retained; the acoustic and light guidance device includes a high-brightness LED strobe light and a 95dB alarm. The night mode automatically enhances the red light band output, and the sound wave encoding includes a Morse distress signal SOS mode.

[0016] Preferably, the system also includes a terrain database and a dynamic path optimization module. The terrain database stores elevation data, water source locations and coordinates of dangerous areas, and the data update cycle is ≤24 hours; the dynamic path optimization module combines the user's physical exertion model to calculate the optimal evacuation route based on slope angle, surface type and real-time body temperature data, outputs a three-dimensional visual path and estimates the arrival time, with the error range controlled within ±10%.

[0017] Preferably, the central processing unit includes multi-source data fusion processing and a graded warning mechanism. The multi-source data fusion processing adopts DS evidence theory to perform probabilistic assessment of the danger level, and sensor cross-validation is initiated when the conflict factor K value is greater than 0.5; in the graded warning mechanism, the observation level only triggers local vibration reminders, the warning level sends location information to preset contacts, and the critical level simultaneously activates drone rescue and broadcasts the 121.5MHz aviation emergency frequency.

[0018] Preferably, the system also includes a solar charging module and an emergency power management unit. The solar charging module uses a flexible photovoltaic film integrated into the shoulders and back of the wearable device, and can achieve a charging power of 5W / hr under 100,000 lux of light; the emergency power management unit shuts down non-essential sensors when the battery level is lower than 10%, starts the ultra-low power consumption mode, and maintains emergency power supply to key circuits for 30 minutes through supercapacitors.

[0019] Preferably, the medical supplies delivery cabin includes a pneumatically triggered cabin opening mechanism and a standard first aid kit. The pneumatically triggered cabin opening mechanism is automatically unlocked when the altitude is less than 1000 meters, and a memory alloy spring is used to achieve millisecond-level response. The standard first aid kit includes a tourniquet, a broad-spectrum antidote and an emergency thermal blanket.

[0020] Preferably, the medical supplies delivery cabin also includes a biomarker dye that is a phosphorescent / fluorescent dual-mode material, with a visible distance of ≥500 meters during the day and significant infrared characteristics at night, forming a 2m×2m cross identification pattern after spraying.

[0021] Beneficial effects of the present invention:

[0022] 1. A multi-link communication system enables Beidou / GPS dual-mode positioning and automatic switching between satellite and terrestrial networks, ensuring reliable transmission of distress messages even in areas without cellular signals.

[0023] 2. An improved LSTM neural network combined with multi-sensor data fusion analysis is used to dynamically assess the danger level through multi-dimensional parameters such as heart rate variability coefficient, body temperature trend, and movement status, thereby reducing the false alarm rate.

[0024] 3. The autonomous rescue drone is equipped with a rapid deployment module and intelligent route planning. It can reach the target location within a range of 10 kilometers within 5 minutes after receiving the distress signal, shortening the rescue response time.

[0025] 4. The wearable monitoring terminal integrates a flexible solar charging module and adaptive power management, capable of maintaining continuous monitoring for over 72 hours even in rainy conditions. The terrain database and dynamic path optimization module work together to provide trapped personnel with optimal evacuation routes and mitigate geological disaster risks in real time, significantly reducing safety risks and operational costs for rescuers. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 Shown is a schematic diagram of the system framework of the present invention;

[0027] Figure 2 What is shown is a schematic diagram of the workflow of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0029] See also Figure 1 The present invention provides an embodiment: a field safety monitoring and rescue system, comprising:

[0030] Wearable monitoring terminal, used to collect user vital signs and environmental data in real time;

[0031] Beidou / GPS dual-mode positioning module enables sub-meter location tracking;

[0032] Central processing unit with built-in dangerous behavior recognition algorithm and adaptive threshold analysis module;

[0033] Multi-link communication system, supporting satellite communication, LoRa long-distance transmission and 4G / 5G automatic switching;

[0034] Autonomous rescue drone equipped with a medical supplies delivery cabin and infrared thermal imager.

[0035] The wearable monitoring terminal integrates a three-axis acceleration sensor, a blood oxygen / heart rate sensor and an environmental sensor group. The three-axis acceleration sensor is used to detect abnormal movement states such as falls and falls of the user, and distinguishes normal movement from dangerous actions through a dynamic threshold algorithm; the blood oxygen / heart rate sensor adopts reflective photoelectric measurement technology, and improves measurement accuracy through a PPG signal compensation algorithm in the movement state; the environmental sensor group includes a barometer, a temperature and humidity sensor and an ultraviolet intensity sensor, among which the barometer data is used to monitor altitude changes and calculate the perceived temperature in combination with the temperature and humidity data. The ultraviolet sensor adopts a wide-spectrum detection module, outputs the UVA / UVB index in real time, and reminds the user to wear sunscreen through a vibration motor.

[0036] The dangerous behavior recognition algorithm uses an improved LSTM neural network. Its input data includes abnormal cardiac load when the heart rate variation coefficient is greater than 0.5 for 30 minutes, a hypothermia / heatstroke warning is triggered when the body temperature is below 35°C or above 38.5°C for 2 hours, and a vital sign review process is initiated when the duration of the static state exceeds a preset threshold and there is no micro-motion signal. The algorithm output layer uses a Sigmoid function to calculate the probability of danger. When the comprehensive score exceeds 0.75, the warning level is automatically upgraded. At the same time, an attention mechanism is introduced to weightedly process sudden abnormal data.

[0037] The multi-link communication system includes a communication quality assessment module and an adaptive switching module. The communication quality assessment module calculates the signal-to-noise ratio and packet loss rate in real time, and determines that the channel is degraded when the SNR is less than 10dB and the packet loss rate is greater than 15%; the adaptive switching module automatically enables the satellite link when the 4G / 5G signal strength is less than -90dBm. The switching process uses a dual-stack protocol to maintain data transmission continuity. Satellite communication preferentially uses the Beidou short message protocol, and the transport layer uses TLS1.3 encryption. The data compression rate is not less than 60%, and the preset emergency communication mode can forcibly occupy the channel bandwidth.

[0038] The autonomous rescue drone includes a rapid deployment module, a route planning module and an acoustic and light guidance device. The rapid deployment module completes takeoff preparations within 90 seconds after receiving a distress signal, including self-checking the navigation system, unfolding and folding the rotors, and loading preset waypoints. The route planning module uses the A* algorithm to dynamically avoid terrain obstacles and integrates real-time wind field data to adjust the flight altitude. The waypoint interval does not exceed 50 meters and three backup paths are retained. The acoustic and light guidance device includes a high-brightness LED strobe light and a 95dB siren. The night mode automatically enhances the red light band output, and the sound wave encoding includes a Morse distress signal SOS mode.

[0039] The system also includes a terrain database and a dynamic path optimization module. The terrain database stores elevation data, water source locations, and coordinates of dangerous areas, with a data update cycle of ≤24 hours. The dynamic path optimization module combines the user's physical exertion model to calculate the optimal evacuation route based on slope angle, surface type, and real-time body temperature data, outputs a three-dimensional visual path, and estimates the arrival time, with an error range controlled within ±10%.

[0040] The central processing unit includes multi-source data fusion processing and a graded warning mechanism. The multi-source data fusion processing uses DS evidence theory to perform a probabilistic assessment of the danger level, and sensor cross-validation is initiated when the conflict factor K value is greater than 0.5; in the graded warning mechanism, the observation level (level 1 alarm) only triggers a local vibration reminder, the warning level (level 2 alarm) sends location information to the preset contact, and the critical level (level 3 alarm) simultaneously activates drone rescue and broadcasts the 121.5MHz aviation emergency frequency.

[0041] The system also includes a solar charging module and an emergency power management unit. The solar charging module uses flexible photovoltaic film integrated into the shoulders and back of the wearable device, and can achieve a charging power of 5W / hr under 100,000 lux of light; the emergency power management unit shuts down non-essential sensors when the battery level is less than 10%, activates ultra-low power consumption mode, and maintains emergency power supply to critical circuits for 30 minutes through supercapacitors.

[0042] The medical supplies delivery cabin includes an air pressure-triggered opening mechanism and a standard first aid kit. The air pressure-triggered opening mechanism is automatically unlocked when the altitude is less than 1,000 meters, and a memory alloy spring is used to achieve millisecond-level response; the standard first aid kit includes a tourniquet, a broad-spectrum antidote and an emergency thermal blanket.

[0043] The medical supplies delivery cabin also includes a biological marker dye that is a phosphorescent / fluorescent dual-mode material. It has a visible distance of ≥500 meters during the day and significant infrared characteristics at night. After spraying, it forms a 2m×2m cross identification pattern.

[0044] See also Figure 2 , further, the workflow of the present invention is described in detail:

[0045] The wearable monitoring terminal uses a three-axis acceleration sensor to monitor the user's movement status in real time. The blood oxygen / heart rate sensor collects physiological data every 10 seconds. The environmental sensor group simultaneously obtains temperature, humidity, air pressure and ultraviolet intensity data. All data is transmitted to the central processing unit via BLE5.0 and marked with timestamps and GPS coordinates.

[0046] The central processing unit runs an improved LSTM algorithm to perform multimodal fusion analysis on features such as heart rate variability coefficient > 0.5 for 30 minutes, abnormal body temperature for more than 2 hours, or inactivity for more than 4 hours. It uses DS evidence theory to calculate the probability of danger. When the comprehensive score is > 0.75, a level 3 alarm is triggered, and feedback is given to the user through sound, light, and vibration.

[0047] The multi-link communication system prioritizes detecting 4G / 5G signal strength. If it is less than -90dBm, it automatically switches to the Beidou short message protocol. The compressed and encrypted distress message, including location coordinates, vital signs summary, and environmental data, is transmitted to the cloud rescue platform via a satellite link, and the local LoRa beacon broadcast is initiated at the same time.

[0048] After receiving the information, the cloud platform calls the terrain database to match the nearest rescue station, combines real-time meteorological and terrain data to generate a three-dimensional route, and sends mission instructions containing obstacle avoidance paths, delivery coordinates, and a list of medical supplies to the autonomous rescue drone.

[0049] The drone completed self-inspection and takeoff within 90 seconds, flying along the route planned by the A* algorithm. After arriving at the target point, it confirmed the location of the trapped person through infrared thermal imaging, released an air pressure-triggered medical cabin at an altitude of 20 meters, and delivered a first aid kit containing a tourniquet, a thermal blanket, and a biomarker dye, while simultaneously activating the sound and light guidance device.

[0050] The system continuously monitors the user's status and transmits data back through drone relays. The dynamic path optimization module generates the best evacuation route based on the user's physical energy consumption model and pushes it to the rescuer's terminal and the user's wearable device until the alarm status is turned off after confirming that the user is out of danger.

[0051] Furthermore, an embodiment is given, in a scenario where a single person is in danger while climbing a mountain:

[0052] A climber suddenly suffered from altitude sickness at an altitude of 4,000 meters. His blood oxygen saturation dropped to 80% and he developed an irregular heartbeat. After the wearable monitoring terminal detected the data anomaly, the central processing unit determined it to be acute mountain sickness through the LSTM algorithm, triggering a level-three alarm. Since there was no cellular signal in the area, the multi-link communication system automatically switched to Beidou short messages to send a distress signal to the rescue center. The cloud platform dispatched a drone 10 kilometers away. The drone followed a preset route to avoid ridge air currents and arrived at the target point 7 minutes later. It delivered a first aid kit containing a portable oxygen cylinder and used LED strobe light to guide the subsequent ground rescue team to locate the climber.

[0053] Furthermore, an embodiment is given for a hypothermia rescue scenario in the wild:

[0054] The body temperature of the field workers continued to drop to 33.5℃ in a rainstorm environment. The environmental sensor detected humidity >95% and wind speed of level 8. The system combined the body temperature trend and meteorological data to determine that it was hypothermia. At this time, the solar charging module switched to supercapacitor power supply due to rainy weather to maintain the operation of core functions. After receiving the command, the drone adopted wind-resistant mode (rotor speed increased by 20%) to fly to the target point, deliver thermal blankets and self-heating pads, and use bio-marker dyes to form fluorescent marks on the muddy ground to assist helicopter rescue.

[0055] Furthermore, an embodiment is given, in a geological disaster risk avoidance scenario:

[0056] The geological team was located in a landslide warning area. The terrain database detected that the slope change rate exceeded the warning value. The dynamic path optimization module combined the team members' real-time location and physical data (heart rate 110 beats / minute, movement speed decreased by 40%) to generate a detour route and push it to the wearable terminal. At the same time, the central processing unit activated the drone on standby in advance. When the acceleration sensor detected abnormal vibration, the drone immediately took off and delivered a life rope and positioning beacon to guide the team members to evacuate to a safe area.

[0057] Through the above steps, Beidou / GPS dual-mode positioning and automatic switching between satellite / terrestrial networks are achieved through a multi-link communication system, thereby ensuring that distress information can still be reliably transmitted in areas without cellular signals. At the same time, an improved LSTM neural network is combined with multi-sensor data fusion analysis to dynamically assess the danger level through multi-dimensional parameters such as heart rate variability coefficient, body temperature trend and movement status, thereby reducing the false alarm rate. The autonomous rescue drone is equipped with a rapid deployment module and intelligent route planning. It can reach the target location within 10 kilometers within 5 minutes after receiving the distress signal, shortening the rescue response time. The wearable monitoring terminal integrates a flexible solar charging module and adaptive power management, and can maintain continuous monitoring capabilities for more than 72 hours in continuous rainy environments, thereby solving the problems of low communication reliability, insufficient danger identification accuracy, delayed rescue response and limited endurance of existing field safety monitoring and rescue systems.

Claims

1. Field safety monitoring and rescue system, characterized by: Includes: Wearable monitoring terminal, used to collect user vital signs and environmental data in real time; Beidou / GPS dual-mode positioning module enables sub-meter location tracking; Central processing unit with built-in dangerous behavior recognition algorithm and adaptive threshold analysis module; Multi-link communication system, supporting satellite communication, LoRa long-distance transmission and 4G / 5G automatic switching; Autonomous rescue drone equipped with a medical supplies delivery cabin and infrared thermal imager.

2. The field safety monitoring and rescue system according to claim 1, characterized in that: The wearable monitoring terminal integrates a three-axis acceleration sensor, a blood oxygen / heart rate sensor and an environmental sensor group. The three-axis acceleration sensor is used to detect the user's abnormal movement state and distinguish normal movement from dangerous actions through a dynamic threshold algorithm; the blood oxygen / heart rate sensor adopts reflective photoelectric measurement technology and improves measurement accuracy through a PPG signal compensation algorithm in the movement state; the environmental sensor group includes a barometer, a temperature and humidity sensor and an ultraviolet intensity sensor, among which the barometer data is used to monitor altitude changes and calculate the body temperature in combination with the temperature and humidity data. The ultraviolet sensor adopts a wide-spectrum detection module, outputs the UVA / UVB index in real time, and reminds the user to wear sunscreen through a vibration motor.

3. The field safety monitoring and rescue system according to claim 1, characterized in that: The dangerous behavior recognition algorithm uses an improved LSTM neural network. Its input data includes abnormal cardiac load when the heart rate variation coefficient is greater than 0.5 for 30 minutes, a hypothermia / heatstroke warning is triggered when the body temperature is below 35°C or above 38.5°C for 2 hours, and a vital sign review process is initiated when the duration of the static state exceeds a preset threshold and there is no micro-motion signal. The algorithm output layer uses a Sigmoid function to calculate the probability of danger. When the comprehensive score exceeds 0.75, the warning level is automatically upgraded. At the same time, an attention mechanism is introduced to weightedly process sudden abnormal data.

4. The field safety monitoring and rescue system according to claim 1, characterized in that: The multi-link communication system includes a communication quality assessment module and an adaptive switching module. The communication quality assessment module calculates the signal-to-noise ratio and packet loss rate in real time, and determines that the channel is degraded when the SNR is less than 10dB and the packet loss rate is greater than 15%; the adaptive switching module automatically enables the satellite link when the 4G / 5G signal strength is less than -90dBm. The switching process uses a dual-stack protocol to maintain data transmission continuity. Satellite communication preferentially uses the Beidou short message protocol, and the transport layer uses TLS1.3 encryption. The data compression rate is not less than 60%, and the preset emergency communication mode can forcibly occupy the channel bandwidth.

5. The field safety monitoring and rescue system according to claim 1, characterized in that: The autonomous rescue drone includes a rapid deployment module, a route planning module and an acoustic and light guidance device. The rapid deployment module completes takeoff preparations within 90 seconds after receiving a distress signal, including self-checking the navigation system, unfolding and folding the rotors, and loading preset waypoints. The route planning module uses the A* algorithm to dynamically avoid terrain obstacles and integrates real-time wind field data to adjust the flight altitude. The waypoint interval does not exceed 50 meters and three backup paths are retained. The acoustic and light guidance device includes a high-brightness LED strobe light and a 95dB siren. The night mode automatically enhances the red light band output, and the sound wave encoding includes a Morse distress signal SOS mode.

6. The field safety monitoring and rescue system according to claim 1, characterized in that: The system also includes a terrain database and a dynamic path optimization module. The terrain database stores elevation data, water source locations, and coordinates of dangerous areas, with a data update cycle of ≤24 hours. The dynamic path optimization module combines the user's physical exertion model to calculate the optimal evacuation route based on slope angle, surface type, and real-time body temperature data, outputs a three-dimensional visual path, and estimates the arrival time, with an error range controlled within ±10%.

7. The field safety monitoring and rescue system according to claim 1, characterized in that: The central processing unit includes a multi-source data fusion process and a graded warning mechanism. The multi-source data fusion process uses DS evidence theory to perform a probability assessment of the danger level, and sensor cross-validation is initiated when the conflict factor K value is greater than 0.5; In the graded warning mechanism, the observation level only triggers local vibration reminders, the warning level sends location information to preset contacts, and the critical level simultaneously activates drone rescue and broadcasts the 121.5MHz aviation emergency frequency.

8. The field safety monitoring and rescue system according to claim 1, characterized in that: The system also includes a solar charging module and an emergency power management unit. The solar charging module uses flexible photovoltaic film integrated into the shoulders and back of the wearable device, and can achieve a charging power of 5W / hr under 100,000 lux of light; the emergency power management unit shuts down non-essential sensors when the battery level is less than 10%, activates ultra-low power consumption mode, and maintains emergency power supply to critical circuits for 30 minutes through supercapacitors.

9. The field safety monitoring and rescue system according to claim 1, characterized in that: The medical supplies delivery cabin includes an air pressure-triggered opening mechanism and a standard first aid kit. The air pressure-triggered opening mechanism is automatically unlocked when the altitude is less than 1,000 meters, and a memory alloy spring is used to achieve millisecond-level response; the standard first aid kit includes a tourniquet, a broad-spectrum antidote and an emergency thermal blanket.

10. The field safety monitoring and rescue system according to claim 9, characterized in that: The medical supplies delivery cabin also includes a biological marker dye that is a phosphorescent / fluorescent dual-mode material. It has a visible distance of ≥500 meters during the day and significant infrared characteristics at night. After spraying, it forms a 2m×2m cross identification pattern.

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