Emergency training personnel body monitoring system and method

Abstract

A system for monitoring the body of an emergency training person comprises an intelligent wearable device used for collecting vital sign data of the training person; the Bluetooth beacons are arranged at a plurality of key positions of a training ground and are used for acquiring positioning data of trainees; the LoRaWAN gateway is used for receiving the vital sign data of the training personnel and the positioning data of the training personnel, and sending the vital sign data and the positioning data to the monitoring unit; and the monitoring unit is used for receiving the vital sign data and the positioning data sent by the LoRaWAN gateway, storing the data in a database, analyzing the received vital sign data in real time, judging whether the body of the trainee is abnormal or not, and rescuing the trainee through the positioning data when the body of the trainee is abnormal. According to the invention, the problems of limited monitoring parameters and poor accuracy in the prior art are solved, the problem of positioning failure in indoor and other scenes in the prior art is solved, and the stability and long-distance transmission capability of data transmission are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of physical monitoring of emergency training personnel, and in particular to a system and method for physical monitoring of emergency training personnel. Background Art

[0002] Emergency training refers to systematic and planned training and drills to improve response capabilities and reduce losses in the face of various emergencies or emergency situations. In emergency training, the training intensity is high and the environment is complex. The current training lacks effective physical monitoring methods and has the following problems:

[0003] 1. The vital signs of trainees (such as heart rate, blood pressure, etc.) cannot be accurately obtained in real time. Once an abnormal physical condition occurs, such as excessive fatigue leading to a fast heart rate, it is difficult to detect and deal with it in time, increasing the risk of training.

[0004] 2. The movement trajectory of the trainees cannot be accurately monitored, and when the trainees have abnormal physical conditions, they cannot be found in time for treatment.

[0005] 3. Some existing monitoring equipment has single functions and cannot comprehensively consider the special environment and requirements of emergency training. For example, its performance is insufficient in terms of waterproofness, shock resistance, and anti-interference, and the stability and timeliness of data transmission are poor.

[0006] In the field of emergency training, it is extremely important to ensure the safety of trainees. With the development of science and technology, some monitoring systems have been applied to such scenarios. Some of the existing emergency training monitoring solutions also involve monitoring the vital signs and location of trainees. For example, some traditional monitoring systems use similar smart wearable devices to obtain vital signs data, but these devices have relatively single functions and can only perform simple measurements on a limited number of signs, and the data accuracy and stability are insufficient. In terms of position monitoring, some use GPS positioning technology, but in complex emergency training environments (such as indoor, underground and other obstructed scenes), GPS signals are easily lost, resulting in inaccurate or unavailable location information. Therefore, there is an urgent need for a system and method for physical monitoring of emergency training personnel to solve this problem. Summary of the invention

[0007] In view of the above problems, the present invention is proposed to provide a system and method for physical monitoring of emergency training personnel that overcomes the above problems or at least partially solves the above problems.

[0008] In order to solve the above technical problems, the embodiments of the present application disclose the following technical solutions:

[0009] In a first aspect, an embodiment of the present invention discloses a system for monitoring the physical condition of emergency training personnel, comprising: a smart wearable device, a Bluetooth beacon, a LoRaWAN gateway and a monitoring unit; wherein:

[0010] A smart wearable device, worn on the body of the trainee, for collecting the vital signs data of the trainee and sending the vital signs data to the LoRaWAN gateway;

[0011] Bluetooth beacons are placed at multiple key locations in the training ground to obtain the training personnel's location data and send the location data to the LoRaWAN gateway;

[0012] A LoRaWAN gateway, used for receiving the vital sign data and the positioning data of the trainee, and sending the vital sign data and the positioning data to a monitoring unit;

[0013] The monitoring unit is used to receive the vital signs data and positioning data sent by the LoRaWAN gateway, store the data in a database, perform real-time analysis on the received vital signs data, determine whether the trainee has any physical abnormality, and when the trainee has any physical abnormality, rescue the trainee through the positioning data.

[0014] The smart wearable device integrates a variety of health monitoring sensors, through which the vital signs data of the trainees are obtained. The health monitoring sensors include at least a photoelectric heart rate sensor, a micro blood pressure sensor and a blood glucose sensor; the photoelectric heart rate sensor measures the heart rate by detecting changes in the absorption of light by blood, and the micro blood pressure sensor senses changes in arterial pressure through micro-electromechanical technology.

[0015] Furthermore, the smart wearable device also integrates a data processing and transmission module, which is used to perform real-time processing on the vital signs data of the trainees collected by the sensor, including at least filtering, amplification, and analog-to-digital conversion operations to convert the original analog signal into a digital signal.

[0016] Furthermore, the vital signs data of the trainees collected by the sensor are processed in real time to convert the original analog signals into digital signals. The specific method includes: filtering the vital signs data with a low-pass filter and a high-pass filter, amplifying the filtered data through a preamplifier, and converting the amplified and filtered analog signals into digital signals through an analog-to-digital converter.

[0017] Furthermore, Bluetooth beacons are used to obtain positioning data of training personnel. The specific methods include: Bluetooth beacons realize positioning based on received signal strength indication technology, and multiple Bluetooth beacons are distributed in the training ground. When the smart wearable device enters the signal coverage range of the Bluetooth beacon, the Bluetooth beacon receives the signal sent by the smart wearable device and measures the signal strength. The position of the training personnel is calculated through trilateral measurement or multilateral positioning algorithm combined with the location information of the known Bluetooth beacon layout.

[0018] Furthermore, the LoRaWAN gateway has multiple receiving channels and can simultaneously receive data sent by multiple bracelets. The LoRaWAN gateway demodulates and decodes the received data to restore the vital signs data and positioning data of the trainees.

[0019] Furthermore, the LoRaWAN gateway demodulates and decodes the received data, and the specific method includes: receiving the LoRa signal from the terminal node through the wireless transceiver module of the LoRaWAN gateway, and the LoRaWAN gateway demodulates the received signal through multiple intermediate frequency channels, and the channels can cover the frequency range of the LoRa signal and can convert the signal from radio frequency to intermediate frequency. During the demodulation process, the LoRaWAN gateway will perform error correction on the received signal; the gateway extracts a data packet from the demodulated digital signal, and the data packet contains the original data sent by the terminal node. The LoRaWAN gateway parses the data packet according to the LoRaWAN protocol and extracts the valid data therein; specifically, it includes parsing the header, load and metadata information of the data packet; after the protocol parsing is completed, the LoRaWAN gateway needs to convert the data into the format required by the user.

[0020] Furthermore, the monitoring unit performs real-time analysis on the received vital signs data to determine whether there is any physical abnormality in the trainee. When the trainee has any physical abnormality, the trainee is rescued through the positioning data. The specific method includes: the monitoring unit performs real-time analysis on the received vital signs data, obtains the heart rate, blood pressure and blood oxygen parameters of the emergency trainee in real time, and compares the heart rate, blood pressure and blood oxygen parameters with the preset threshold range. When the heart rate, blood pressure and blood oxygen parameters are not within the preset threshold range, it is determined that the trainee may have a physical abnormality, and the trainee is rescued through the positioning information sent by the Bluetooth beacon. The monitoring unit simultaneously uses multiple warning methods to issue warnings.

[0021] In a second aspect, an embodiment of the present invention discloses a method for monitoring the physical condition of emergency training personnel, which is applied to a system for monitoring the physical condition of emergency training personnel, and is characterized by comprising:

[0022] The smart wearable device is worn on the body of the trainee, collects the vital signs data of the trainee, and sends the vital signs data to the LoRaWAN gateway;

[0023] Bluetooth beacons are placed at multiple key locations in the training ground to obtain the positioning data of the trainees and send the positioning data to the LoRaWAN gateway;

[0024] The LoRaWAN gateway receives the vital sign data and the positioning data of the trainee, and sends the vital sign data and the positioning data to the monitoring unit;

[0025] The monitoring unit receives the vital signs data and positioning data sent by the LoRaWAN gateway, stores the data in a database, performs real-time analysis on the received vital signs data, and determines whether the trainee has any physical abnormality. When the trainee has any physical abnormality, the training unit is rescued through the positioning data.

[0026] In a third aspect, an embodiment of the present invention discloses an electronic device, including:

[0027] one or more processors;

[0028] A memory for storing one or more programs;

[0029] When the one or more programs are executed by the one or more processors, the one or more processors implement the method for training personnel body monitoring.

[0030] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0031] The present invention discloses a system for monitoring the body of emergency training personnel, including: an intelligent wearable device, which is worn on the body of the training personnel, and is used to collect the vital signs data of the training personnel, and send the vital signs data to the LoRaWAN gateway; a Bluetooth beacon, which is arranged at multiple key positions of the training field, and is used to obtain the positioning data of the training personnel, and send the positioning data to the LoRaWAN gateway; the LoRaWAN gateway is used to receive the vital signs data and the positioning data of the training personnel, and send the vital signs data and the positioning data to the monitoring unit; the monitoring unit is used to receive the vital signs data and the positioning data sent by the LoRaWAN gateway, and store the data in a database, and perform real-time analysis on the received vital signs data to determine whether the training personnel's body is abnormal, and when the training personnel's body is abnormal, the training personnel is rescued through the positioning data. The present invention realizes multi-parameter and high-precision measurement in vital signs monitoring, and overcomes the problems of limited monitoring parameters and poor accuracy of the prior art. In terms of position monitoring, the present invention realizes more accurate positioning than GPS in complex environments by combining Bluetooth beacons with RSSI algorithms, and solves the problem of failure of positioning in indoor scenes and other scenes of the prior art. The present invention adopts the LoRaWAN gateway for data transmission, which improves the stability of data transmission and the long-distance transmission capability compared with some short-distance or interference-prone data transmission methods in the prior art, and ensures the reliable reporting of emergency training monitoring data.

[0032] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0034] Figure 1 This is a structural diagram of a system for monitoring the physical condition of emergency training personnel in Embodiment 1 of the present invention;

[0035] Figure 2 This is a flow chart of a method for physical monitoring of emergency training personnel in embodiment 1 of the present invention;

[0036] Figure 3 This is a schematic diagram of the structure of an electronic device in Example 3 of the present invention. DETAILED DESCRIPTION

[0037] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0038] In order to solve the problems existing in the prior art, an embodiment of the present invention provides a system and method for physical monitoring of emergency training personnel.

[0039] Example 1

[0040] The present invention discloses a system for monitoring the physical condition of emergency training personnel. Figure 1 , including: smart wearable devices, Bluetooth beacons, LoRaWAN gateways and monitoring units; among which:

[0041] The smart wearable device is worn on the body of the trainee, and is used to collect the vital signs data of the trainee and send the vital signs data to the LoRaWAN gateway; wherein the smart wearable device integrates a variety of health monitoring sensors, and obtains the vital signs data of the trainee through the health monitoring sensors, and the health monitoring sensors at least include a photoelectric heart rate sensor, a micro blood pressure sensor and a blood glucose sensor; the photoelectric heart rate sensor measures the heart rate by detecting changes in the absorption of light by blood, and the micro blood pressure sensor senses changes in arterial pressure through micro-electromechanical technology.

[0042] The smart wearable device also integrates a data processing and transmission module, which is used to process the vital signs data of the trainees collected by the sensor in real time, including at least filtering, amplification, and analog-to-digital conversion operations to convert the original analog signal into a digital signal. Among them, the vital signs data of the trainees collected by the sensor are processed in real time to convert the original analog signal into a digital signal. The specific method includes: filtering the vital signs data using a low-pass filter and a high-pass filter, amplifying the filtered data through a preamplifier, and converting the amplified and filtered analog signal into a digital signal through an analog-to-digital converter. Through filtering, amplification and analog-to-digital conversion, the analog vital signs signal can be converted into a digital signal. Filtering and amplification help improve signal quality, remove noise, and increase signal amplitude, while analog-to-digital conversion converts continuous analog signals into discrete digital signals for subsequent processing and analysis. These steps are crucial for accurately capturing vital signs signals and performing real-time monitoring and diagnosis.

[0043] Bluetooth beacons are arranged at multiple key locations in the training ground to obtain the positioning data of the trainees and send the positioning data to the LoRaWAN gateway. Specifically, the Bluetooth beacons are used to obtain the positioning data of the trainees. The specific method includes: the Bluetooth beacon realizes positioning based on the received signal strength indication technology. Multiple Bluetooth beacons are distributed in the training ground. When the smart wearable device enters the signal coverage range of the Bluetooth beacon, the Bluetooth beacon receives the signal sent by the smart wearable device and measures the signal strength. The position of the trainees is calculated through trilateral measurement or multilateral positioning algorithm combined with the location information of the known Bluetooth beacon layout.

[0044] Among them, trilateration is a measurement method that selects a series of control points on the ground, connects them into several triangles, and forms various network (lock)-shaped figures. In the positioning system, the basic principle of the trilateration algorithm is to measure the distance between the node to be located and three nodes with known positions (anchor points), and then use these three distance values ​​to determine the position of the node to be located. These three distance values ​​can be regarded as the radius of three circles with the three known nodes as the center and the measured distance as the radius, and the position of the node to be located is located at the intersection of these three circles. The working principle of the multilateration positioning algorithm is based on the principle of triangulation. On a two-dimensional plane, at least three base stations (receivers) with known positions are required to locate an unknown node; in three-dimensional space, four base stations are required. By measuring the time difference or phase difference of the signal emitted by the target object to each base station, the distance difference from the target object to each base station can be calculated. These distance differences will form multiple hyperbolas on a two-dimensional plane and hyperbolic surfaces in three-dimensional space. By solving the intersection of these hyperbolas or hyperbolic surfaces, the position of the target object can be determined.

[0045] The LoRaWAN gateway is used to receive the vital signs data and positioning data of the trainees, and send the vital signs data and positioning data to the monitoring unit; in this embodiment, the LoRaWAN gateway has multiple receiving channels and can simultaneously receive data sent by multiple bracelets. The LoRaWAN gateway demodulates and decodes the received data to restore the vital signs data and positioning data of the trainees.

[0046] Among them, the LoRaWAN gateway demodulates and decodes the received data, and the specific method includes: receiving the LoRa signal from the terminal node through the wireless transceiver module of the LoRaWAN gateway, and the LoRaWAN gateway demodulates the received signal through multiple intermediate frequency channels, and the channels can cover the frequency range of the LoRa signal and can convert the signal from radio frequency to intermediate frequency. During the demodulation process, the LoRaWAN gateway will perform error correction on the received signal; the gateway extracts a data packet from the demodulated digital signal, and the data packet contains the original data sent by the terminal node. The LoRaWAN gateway parses the data packet according to the LoRaWAN protocol and extracts the valid data therein; specifically, it includes parsing the header, load and metadata information of the data packet; after the protocol parsing is completed, the LoRaWAN gateway needs to convert the data into the format required by the user.

[0047] The monitoring unit is used to receive the vital signs data and positioning data sent by the LoRaWAN gateway, store the data in a database, perform real-time analysis on the received vital signs data, determine whether the trainee has any physical abnormality, and when the trainee has any physical abnormality, rescue the trainee through the positioning data.

[0048] In this embodiment, the monitoring unit performs real-time analysis on the received vital signs data to determine whether there is any physical abnormality in the trainee. When the trainee has any physical abnormality, the trainee is rescued through the positioning data. The specific method includes: the monitoring unit performs real-time analysis on the received vital signs data, obtains the heart rate, blood pressure and blood oxygen parameters of the emergency trainee in real time, and compares the heart rate, blood pressure and blood oxygen parameters with the preset threshold range. When the heart rate, blood pressure and blood oxygen parameters are not within the preset threshold range, it is determined that the trainee may have a physical abnormality, and the trainee is rescued through the positioning information sent by the Bluetooth beacon. The monitoring unit simultaneously uses multiple warning methods to issue warnings.

[0049] This embodiment discloses a system for monitoring the body of emergency training personnel, including: a smart wearable device, worn on the body of the training personnel, used to collect the vital signs data of the training personnel, and send the vital signs data to the LoRaWAN gateway; a Bluetooth beacon, arranged at multiple key positions in the training field, used to obtain the positioning data of the training personnel, and send the positioning data to the LoRaWAN gateway; the LoRaWAN gateway is used to receive the vital signs data and the positioning data of the training personnel, and send the vital signs data and the positioning data to the monitoring unit; the monitoring unit is used to receive the vital signs data and the positioning data sent by the LoRaWAN gateway, and store the data in a database, perform real-time analysis on the received vital signs data, judge whether the training personnel's body is abnormal, and when the training personnel's body is abnormal, rescue the training personnel through the positioning data. The present invention realizes multi-parameter and high-precision measurement in vital signs monitoring, and overcomes the problems of limited monitoring parameters and poor accuracy in the prior art. In terms of location monitoring, the present invention realizes more accurate positioning than GPS in complex environments by combining Bluetooth beacons with RSSI algorithms, and solves the problem of failure of positioning in indoor scenes and other scenes in the prior art. This embodiment uses the LoRaWAN gateway for data transmission, which improves the stability of data transmission and long-distance transmission capability compared to some short-distance or interference-prone data transmission methods in the prior art, and ensures reliable reporting of emergency training monitoring data.

[0050] Example 2

[0051] Based on the same inventive concept, the embodiment of the present disclosure also provides a method for monitoring the physical condition of emergency training personnel, which is applied to a system for monitoring the physical condition of emergency training personnel, such as Figure 2 ,include:

[0052] The smart wearable device is worn on the body of the trainee, collects the vital signs data of the trainee, and sends the vital signs data to the LoRaWAN gateway;

[0053] Bluetooth beacons are placed at multiple key locations in the training ground to obtain the positioning data of the trainees and send the positioning data to the LoRaWAN gateway;

[0054] The LoRaWAN gateway receives the vital sign data and the positioning data of the trainee, and sends the vital sign data and the positioning data to the monitoring unit;

[0055] The monitoring unit receives the vital signs data and positioning data sent by the LoRaWAN gateway, stores the data in a database, performs real-time analysis on the received vital signs data, and determines whether the trainee has any physical abnormality. When the trainee has any physical abnormality, the training unit is rescued through the positioning data.

[0056] Among them, the specific working methods of the smart wearable device, Bluetooth beacon, LoRaWAN gateway and monitoring unit have been described in detail in Example 1, and will not be repeated in this embodiment.

[0057] Example 3

[0058] Based on the same inventive concept, an embodiment of the present disclosure also provides an electronic device. Figure 3 FIG. 1 is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure. Figure 3 As shown, an embodiment of the present disclosure provides an electronic device including: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement any optimization method in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory, and are configured to implement information interaction between the processor and the memory.

[0059] Among them, the processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.; the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); the I / O interface (read-write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus), etc.

[0060] In some embodiments, the processor 101 , the memory 102 , and the I / O interface 103 are connected to each other via a bus 104 , and further connected to other components of the computing device.

[0061] In some embodiments, the one or more processors 101 include a field programmable gate array.

[0062] According to an embodiment of the present disclosure, a computer-readable medium is further provided, wherein a computer program is stored on the computer-readable medium, wherein when the program is executed by a processor, the steps in any optimization method in the above-mentioned embodiment are implemented.

[0063] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of protection of the present disclosure. The attached method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0064] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are clearly stated in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0065] Those skilled in the art will also appreciate that the various illustrative logic blocks, modules, circuits, and algorithmic steps described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software, or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above around their functions. Whether such functions are implemented as hardware or software depends on specific applications and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0066] The steps of the method or algorithm described in conjunction with the embodiments herein may be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also be present in a user terminal as discrete components.

[0067] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0068] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," is explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to mean "non-exclusive or".

Claims

1. A system for physical monitoring of emergency training personnel, characterized in that: include: It consists of smart wearable devices, Bluetooth beacons, LoRaWAN gateways and monitoring units; among which: A smart wearable device, worn on the body of the trainee, for collecting the vital signs data of the trainee and sending the vital signs data to the LoRaWAN gateway; Bluetooth beacons are placed at multiple key locations in the training ground to obtain the training personnel's location data and send the location data to the LoRaWAN gateway; A LoRaWAN gateway, used for receiving the vital sign data and the positioning data of the trainee, and sending the vital sign data and the positioning data to a monitoring unit; The monitoring unit is used to receive the vital signs data and positioning data sent by the LoRaWAN gateway, store the data in a database, perform real-time analysis on the received vital signs data, determine whether the trainee has any physical abnormality, and when the trainee has any physical abnormality, rescue the trainee through the positioning data.

2. A system for monitoring the physical condition of emergency training personnel as claimed in claim 1, characterized in that: The smart wearable device integrates a variety of health monitoring sensors, through which the vital signs data of the trainees are obtained. The health monitoring sensors include at least a photoelectric heart rate sensor, a micro blood pressure sensor and a blood glucose sensor; the photoelectric heart rate sensor measures the heart rate by detecting changes in the absorption of light by blood, and the micro blood pressure sensor senses changes in arterial pressure through micro-electromechanical technology.

3. A system for monitoring the physical condition of emergency training personnel as claimed in claim 1, characterized in that: The smart wearable device also integrates a data processing and transmission module, which is used to process the vital signs data of the trainees collected by the sensor in real time, including at least filtering, amplification, and analog-to-digital conversion operations to convert the original analog signal into a digital signal.

4. A system for monitoring the physical condition of emergency training personnel as claimed in claim 3, characterized in that: The vital sign data of the trainees collected by the sensor are processed in real time to convert the original analog signal into a digital signal. The specific method includes: filtering the vital sign data with a low-pass filter and a high-pass filter, amplifying the filtered data through a preamplifier, and converting the amplified and filtered analog signal into a digital signal through an analog-to-digital converter.

5. A system for monitoring the physical condition of emergency training personnel as claimed in claim 1, characterized in that: Bluetooth beacons are used to obtain the positioning data of training personnel. The specific methods include: Bluetooth beacons are positioned based on the received signal strength indication technology. Multiple Bluetooth beacons are distributed in the training ground. When the smart wearable device enters the signal coverage range of the Bluetooth beacon, the Bluetooth beacon receives the signal sent by the smart wearable device and measures the signal strength. The position of the training personnel is calculated through trilateral measurement or multilateral positioning algorithm combined with the location information of the known Bluetooth beacon layout.

6. A system for monitoring the physical condition of emergency training personnel as claimed in claim 1, characterized in that: The LoRaWAN gateway has multiple receiving channels and can simultaneously receive data sent by multiple bracelets. The LoRaWAN gateway demodulates and decodes the received data to restore the vital signs data and positioning data of the trainees.

7. A system for monitoring the physical condition of emergency training personnel as claimed in claim 6, characterized in that: The LoRaWAN gateway demodulates and decodes the received data, and the specific method includes: receiving the LoRa signal from the terminal node through the wireless transceiver module of the LoRaWAN gateway, and the LoRaWAN gateway demodulates the received signal through multiple intermediate frequency channels, and the channels can cover the frequency range of the LoRa signal and can convert the signal from the radio frequency to the intermediate frequency. During the demodulation process, the LoRaWAN gateway will perform error correction on the received signal; the gateway extracts the data packet from the demodulated digital signal, and the data packet contains the original data sent by the terminal node. The LoRaWAN gateway parses the data packet according to the LoRaWAN protocol and extracts the valid data therein; specifically, it includes parsing the header, load and metadata information of the data packet; after the protocol parsing is completed, the LoRaWAN gateway needs to convert the data into the format required by the user.

8. A system for monitoring the physical condition of emergency training personnel as claimed in claim 1, characterized in that: The monitoring unit performs real-time analysis on the received vital sign data to determine whether there is any physical abnormality in the trainee. When the trainee has any physical abnormality, the training personnel is rescued through the positioning data. The specific method includes: the monitoring unit performs real-time analysis on the received vital sign data, obtains the heart rate, blood pressure and blood oxygen parameters of the emergency trainee in real time, and compares the heart rate, blood pressure and blood oxygen parameters with the preset threshold range. When the heart rate, blood pressure and blood oxygen parameters are not within the preset threshold range, it is determined that the trainee may have a physical abnormality, and the training personnel is rescued through the positioning information sent by the Bluetooth beacon. The monitoring unit uses multiple warning methods to issue warnings at the same time.

9. A method for physical monitoring of emergency training personnel, applied to any system for physical monitoring of emergency training personnel in claims 1-8, characterized in that: include: The smart wearable device is worn on the body of the trainee, collects the vital signs data of the trainee, and sends the vital signs data to the LoRaWAN gateway; Bluetooth beacons are placed at multiple key locations in the training ground to obtain the positioning data of the trainees and send the positioning data to the LoRaWAN gateway; The LoRaWAN gateway receives the vital sign data and the positioning data of the trainee, and sends the vital sign data and the positioning data to the monitoring unit; The monitoring unit receives the vital signs data and positioning data sent by the LoRaWAN gateway, stores the data in a database, performs real-time analysis on the received vital signs data, determines whether the trainee has any physical abnormality, and when the trainee has any physical abnormality, rescues the trainee through the positioning data.

10. An electronic device, comprising: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for training personnel body monitoring in claim 9.

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