Multi-parameter physiological monitoring bracelet and system suitable for drill subject evaluation

Abstract

The invention discloses a multi-parameter physiological monitoring bracelet and system suitable for drill subject evaluation. The bracelet comprises a microcontroller module, a physiological parameter sensing module, an inertial measurement unit, a wireless communication module and a power management module, the microcontroller module is configured to calculate spatial displacement information of the drill subject in the virtual evacuation scene based on the motion data collected by the inertial measurement unit; packaging the physiological parameter data, the spatial displacement information and the time information to form a state data packet; and sending the state data packet to an evacuation drilling system through a wireless communication module, so that the evacuation drilling system synchronously maps and evaluates the physiological state of the drilling subject and the spatial position in the virtual evacuation scene. The bracelet is compact in structure, is used in cooperation with tunnel virtual evacuation drilling, carries out space projection on a space position while monitoring data, collects and calculates space coordinates in real time, and achieves projection of the data in the space; and data monitoring and intelligent analysis can be carried out.

Description

Technical Field

[0001] This invention relates to the field of smart wearable devices and virtual simulation technology, and more specifically to a multi-parameter physiological monitoring wristband and system suitable for evaluating the subjects of exercises. Background Technology

[0002] In the field of emergency safety, such as fire evacuation in long tunnels, regular drills are crucial for improving personnel's escape capabilities. Traditional drill assessments often rely on the subjective judgment of observers, lacking objective and quantitative data support regarding the physiological state and behavioral trajectories of the participants (i.e., the subjects of the drill). With the development of virtual reality (VR) and simulation technologies, training and assessment based on virtual evacuation scenarios have become a trend.

[0003] Currently, while common smart bracelets and watches on the market can monitor physiological and exercise parameters such as heart rate, blood pressure, blood oxygen, and steps, their functions are primarily geared towards daily health management. These devices typically sync data to a personal mobile app, resulting in isolated data that cannot be integrated with professional virtual training systems. The main problem is:

[0004] Lack of spatial synchronization capability: Existing wristbands cannot calculate and provide the wearer's precise coordinates in three-dimensional space, and cannot associate their physiological data with specific locations in virtual scenes.

[0005] Not geared towards professional scenarios: Its step counting and motion algorithms are optimized for daily walking and running, which may not be suitable for complex behaviors such as running, crawling, and crowding that may occur in evacuation drills, and it does not take into account the real-time interaction requirements with the drill system.

[0006] Insufficient data reliability: When Bluetooth signals are unstable (such as in complex tunnel environments), ordinary wristbands lack an effective data transmission mechanism, which may lead to the loss of critical evaluation data.

[0007] Therefore, there is an urgent need for a dedicated device that can be deeply coupled with virtual evacuation scenarios to achieve precise synchronous monitoring of the physiological parameters and spatial location of the subjects in the exercise, so as to meet the needs of modern and refined exercise evaluation. Summary of the Invention

[0008] The purpose of this invention is to overcome the shortcomings of the prior art and provide a multi-parameter physiological monitoring wristband and system that can synchronously map the physiological parameters of the subject of the exercise with their spatial position in a virtual scene in real time and accurately, thereby achieving objective and quantitative exercise evaluation.

[0009] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, embodiments of the present invention provide a multi-parameter physiological monitoring wristband suitable for assessing subjects in training exercises, comprising: Microcontroller module; A physiological parameter sensing module, connected to the microcontroller module, is configured to collect at least one physiological parameter data of the subject of the exercise; An inertial measurement unit, connected to the microcontroller module, is configured to collect motion data from the wristband; the motion data includes acceleration, angular velocity, and quaternion data. A wireless communication module, connected to the microcontroller module, is configured to establish a communication connection with an evacuation drill system. A power management module is used to supply power to the various modules of the wristband; The microcontroller module is configured as follows: Based on the motion data collected by the inertial measurement unit, the spatial displacement information of the exercise subject in the virtual evacuation scenario is calculated; The physiological parameter data, the spatial displacement information, and the time information are encapsulated to form a status data packet; The status data packet is sent to the evacuation drill system via the wireless communication module, so that the evacuation drill system can synchronously map and evaluate the physiological state of the subject in the drill with the spatial location in the virtual evacuation scenario.

[0010] In one embodiment, the calculation of the spatial displacement information includes: The rotation matrix is ​​calculated based on the quaternion data output by the inertial measurement unit; The acceleration data in the wristband coordinate system is transformed to the world coordinate system using the rotation matrix, and the influence of gravitational acceleration is eliminated to obtain the motion acceleration. The motion acceleration is integrated twice to obtain the displacement data of the subject of the exercise, and its real-time spatial coordinates in the virtual evacuation scenario are determined based on the displacement data.

[0011] In one embodiment, the microcontroller module is further configured to: The magnitudes of the acceleration and angular velocity of the motion are detected; When the amplitude of the motion acceleration is lower than the first preset threshold and the amplitude of the angular velocity is lower than the second preset threshold, the exercise subject is determined to be in a stationary state, and the integral velocity is zeroed to eliminate the influence of sensor zero drift.

[0012] In one embodiment, the microcontroller module is further configured to: Step counting and step frequency calculation are performed based on the data from the inertial measurement unit; The step counting process includes: performing low-pass filtering on the vertical acceleration data after eliminating the influence of gravity, detecting the peak value of the filtered data, and combining the shielding period to determine the cumulative step count; Step frequency is calculated based on the total number of steps within the sliding time window; Stride length is estimated based on a preset height coefficient and real-time cadence.

[0013] In one embodiment, a data storage module is further included, which is connected to the microcontroller module; The microcontroller module is also configured to: when no confirmation response is received from the evacuation drill system after the status data packet is sent through the wireless communication module, store the status data packet in the data storage module, and retransmit the stored data packet first after communication is restored.

[0014] In one embodiment, the microcontroller module is further configured to: after the communication connection is established, initiate a time request to the evacuation drill system and receive the current time from the system to maintain time synchronization.

[0015] In one embodiment, the physiological parameter sensing module includes at least one of a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, and a body surface temperature sensor.

[0016] In one embodiment, the heart rate sensor is a MAX30102 sensor; the microcontroller module acquires the detection values ​​of red and infrared light from the heart rate sensor through the IIC interface, and obtains heart rate data by calculating the peak interval of the infrared light.

[0017] In one embodiment, the body surface temperature sensor includes a silver chloride electrode and an NTC thermistor. One end of the silver chloride electrode is used to contact the skin, and the other end is connected to the sensing end of the NTC thermistor for heat transfer; the thermistor is connected to the AD acquisition interface of the microcontroller module for the microprocessor module to acquire the body surface temperature.

[0018] In one embodiment, the inertial measurement unit is a six-axis accelerometer that transmits the acquired motion data to the microcontroller module via an IIC interface.

[0019] In one embodiment, the wireless communication module is an HC05 Bluetooth module, and the evacuation drill system distinguishes and manages the data of multiple drill subjects by identifying the device IDs of different wristbands.

[0020] Secondly, embodiments of the present invention provide an evacuation drill evaluation system, comprising: The multi-parameter physiological monitoring wristband as described in any of the first aspects; and The evacuation drill system, which is connected to the wristband, is configured to receive the status data packets and dynamically display the identifier and physiological parameter data of each drill subject in the three-dimensional virtual evacuation scenario model at its corresponding spatial coordinate position for evaluation and analysis.

[0021] In one embodiment, the method for synchronizing the training subject status data of the wristband includes: The physiological parameter sensing module and the inertial measurement unit collect physiological parameter data and motion data of the subject in real time. The microcontroller module calculates the spatial displacement information of the training subject in the virtual evacuation scenario based on the motion data; The microcontroller module encapsulates the physiological parameter data, the spatial displacement information, and the time information into a status data packet; The status data packets are sent to the evacuation drill system via the wireless communication module, thereby achieving synchronous mapping between physiological state and spatial location.

[0022] As can be seen from the above technical solution, compared with the prior art, the present invention has the following technical advantages: This invention is primarily used in conjunction with virtual tunnel evacuation drills. While monitoring data, it projects spatial locations, collects and calculates spatial coordinates in real time, and realizes data projection in space. During the virtual tunnel evacuation drill, the multi-parameter physiological monitoring wristband automatically connects to the system and actively sends monitored data to facilitate system data monitoring and intelligent analysis. Attached Figure Description

[0023] 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 embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0024] Figure 1 This is a structural block diagram of a multi-parameter physiological monitoring wristband suitable for evaluating the subjects of a training exercise, provided in an embodiment of the present invention. Figure 2 This is a structural diagram of the physiological monitoring wristband from one perspective provided in an embodiment of the present invention; Figure 3 This is a structural diagram of the physiological monitoring wristband from the second perspective provided in this embodiment of the invention. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1: Reference Figure 1 As shown, this embodiment of the invention discloses a multi-parameter physiological monitoring wristband suitable for assessment of exercise subjects, comprising: (1) Microcontroller module, such as the STM32F103C8T6 chip, with a working power supply of 3.3V, uses IIC, SPI and other buses to collect real-time data from other modules and realize data processing and transmission functions.

[0027] (2) Physiological parameter sensing module, connected to microcontroller module, configured to collect at least one physiological parameter data of the subject of the exercise; the physiological parameter sensing module includes at least one of heart rate sensor, blood oxygen sensor, blood pressure sensor and body surface temperature sensor; Among them, such as Figure 2 As shown, the watch consists of a strap and a dial. A heart rate sensor, PPG sensor 1 (model: MAX30102), is mounted on the back of the dial, close to the arm. In heart rate monitoring mode, the initial sampling setup time is 10 seconds. After entering sports sampling mode, it has a data acquisition and transmission rate of 1Hz. The microcontroller module acquires the red and infrared light detection values ​​from PPG sensor 1 via the IIC interface and obtains heart rate data by calculating the peak interval of the infrared light.

[0028] Body surface temperature sensors, such as Figure 2 As shown, silver chloride electrode 2 is used to contact the skin, and the sensing end of the NTC thermistor is in close contact with the other end of the electrode for heat transfer. The thermistor is connected to the AD acquisition interface of the microcontroller module to acquire body surface temperature data.

[0029] (3) Inertial Measurement Unit (IPU), connected to the microcontroller module, is configured to collect motion data from the wristband, including acceleration, angular velocity, and quaternion data. The IPU is a six-axis sensor, such as the MPU6050. The microcontroller obtains the sensor's accelerations X, Y, and Z, angular velocities GX, GY, and GZ, and quaternions q1, q2, q3, and q4 through the IIC interface.

[0030] (4) Wireless communication module, connected to microcontroller module, configured to establish communication connection with an evacuation drill system; when in use, wireless communication module uses HC05 Bluetooth module, microcontroller module transmits data to evacuation drill system software in real time through serial port; data transmission rate is 50Hz.

[0031] (5) Power management module, used to power the various modules of the bracelet; it includes a lithium battery, a USB interface and a power management unit.

[0032] The lithium battery is a 3.7V 400mAh polymer lithium battery, model number 582728, installed between the circuit board and the display screen. The lithium battery is connected to the TPS63802 LDO power management unit, which outputs a low-ripple 3.3V microcontroller operating power supply.

[0033] like Figure 2 As shown, the USB uses a micro USB interface female connector 3, which can be charged via the computer's USB power supply; the charging management chip uses BQ25619, which supports USB standard 5V power supply to power the lithium battery.

[0034] (6) LCD display module: Displays the collected heart rate, step count and body temperature monitoring data; touch interaction operation can be performed based on LCD display module 4 to switch data display pages.

[0035] (7) Buttons: such as Figure 3 As shown, button 5 is a waterproof button that enables the device to be turned on and off. When the device is powered on, it enters the data acquisition mode; when the device is powered off, it enters a low-power standby mode.

[0036] (8) Data storage module, connected to the microcontroller module; the data storage module is used as a data disconnection buffer. When the data transmission to the evacuation drill system software fails, the microcontroller automatically writes the data with timestamps into the data storage module h. Once the network is restored, the microcontroller will send the buffer data to the evacuation drill system software before sending the official data.

[0037] For example, if no confirmation response is received from the evacuation drill system after sending a status data packet via the wireless communication module, the status data packet is stored in the data storage module, and the stored data packet is retransmitted first after communication is restored.

[0038] The working process of the above microcontroller module is as follows: Step 1: Calculate the spatial displacement information of the subject in the virtual evacuation scenario based on the motion data collected by the inertial measurement unit; Step 2: Encapsulate the physiological parameter data, the spatial displacement information, and the time information to form a status data packet; Step 3: Send the status data packet to the evacuation drill system through the wireless communication module, so that the evacuation drill system can synchronously map and evaluate the physiological state of the subject in the drill with the spatial location in the virtual evacuation scenario.

[0039] In step 1 above, data is collected from the six-axis accelerometer, spatial displacement is calculated, and interaction with the evacuation drill system is performed to obtain the original spatial coordinate map. The spatial coordinates corresponding to the current data are obtained through displacement data calculation. The acceleration X, Y, Z, angular velocity GX, GY, GZ and quaternion q1 q2q3 q4 of the MPU6050 are obtained in real time through the IIC interface.

[0040] Calculate the rotation matrix R using quaternions: [ ] Convert the acceleration in the wristband coordinate system to the acceleration in the world coordinate system: A_world = R [X,Y,Z] T (Formula 1) In Formula 1, R represents the rotation matrix, a 3x3 matrix whose function is to perform a "coordinate transformation," converting the vector from the wristband's carrier coordinate system to the world coordinate system. T represents the transpose, converting the column vector into a row vector for calculation. A_world represents the three-axis acceleration vector obtained after the transformation in the world coordinate system. At this point, the direction of acceleration (forward / leftward / upward) is described based on a fixed ground surface, rather than changing with the wristband's swing.

[0041] Acceleration vector that eliminates the effects of gravity: A_motion = A_world - [0,0,g] T (Formula 2) In Formula 2, [0,0,g] T The overall vector represents the gravitational acceleration in the world coordinate system. In this system, gravity is entirely represented on the Z-axis (upward), so the vector form is [0, 0, g]. g is the standard gravitational acceleration, approximately 9.8 m / s². A_motion represents pure motion acceleration. This is the most crucial step; it eliminates the constant influence of gravity, retaining only the acceleration generated by the person's motion. This forms the basis for subsequent integral calculations of the effective displacement.

[0042] Integrating the acceleration vector A_motion once yields the velocity: V t = V t-1 +A_motion Δt (Formula 3) In Formula 3, V t [Vx] represents the velocity vector in the world coordinate system at the current time t. t Vy t Vz t ].

[0043] V t-1 Let represent the velocity vector at the previous moment (t-1); Δt represents the sampling time interval. If the sampling frequency is 50Hz, then Δt = 1 / 50 = 0.02 seconds.

[0044] The change in velocity is obtained by summing up the accelerations in each small time interval.

[0045] The displacement is obtained by performing a quadratic integral: S t =S t-1 +V t Δt (Formula 4) In Formula 4, S t [Sx] represents the displacement vector in the world coordinate system at the current time (t). t Sy t Sz t This is the cumulative displacement relative to the starting point. S t-1 This represents the displacement vector at the previous time step (t-1). By summing up the velocities within each small time interval, we can obtain the change in position.

[0046] The actual displacement increment is obtained by performing a vector operation on the second integral: (Formula 5) In Formula 5, ΔS t This represents the straight-line distance actually traveled by the trainee in three-dimensional space during the time interval Δt. This value can be used to update their coordinates in the virtual scene.

[0047] Considering the characteristics of the sensor, zero drift may occur even without movement. Therefore, zero drift needs to be detected and calibrated. The default acceleration amplitude threshold is set to 0.5 m / s². 2 The threshold for angular velocity amplitude is 0.5 rad / s, and the threshold can be configured as a parameter.

[0048] Acceleration amplitude: (Formula 6) Accel_Magnitude represents the vector length of pure kinetic acceleration. If the person is absolutely at rest, this value should be 0.

[0049] Angular velocity amplitude: (Formula 7) Gyro_Magnitude represents the vector length of the angular velocity. This value should also be 0 if the bracelet is not rotating.

[0050] When both Accel_Magnitude < 0.5 and Gyro_Magnitude < 0.5 are satisfied, the algorithm considers the bracelet to be stationary, and at this time, the current speed V is set. t Force it to be set to 0. This can effectively prevent the accumulation of speed errors during stationary periods and significantly suppress the "drift" phenomenon.

[0051] In another embodiment, a six-axis accelerometer is used to calculate the steps, step length, and step frequency of evacuees in the scene, and to perform real-time tracking and management of spatial coordinates.

[0052] Step counting is based on the acceleration generated in the vertical direction by body movement, and the amplitude of vertical acceleration will show a periodicity.

[0053] Take the Z-axis acceleration A_motion[2]-1 to eliminate the influence of gravity, and perform low-pass filtering on the data to eliminate high-frequency interference: AF = α A t + (1 - α) A t-1 (Formula 8) A t A is the value at the current time. t-1 Let α be the value from the previous time step, and α be the filter coefficient, which is approximately 2πf. c / f s f s The sensor sampling frequency is 50Hz; f c The cutoff frequency is 2Hz, representing the maximum amplitude of a person's arm swing during evacuation, where α is 0.25. Amplitude detection is performed on the calculated AF data. A minimum amplitude value is set. When AF exceeds the minimum amplitude value and shows an upward trend, the step count is incremented by 1 when the maximum peak value appears. Afterward, a 100ms shielding period is entered, and step count detection is performed again.

[0054] Step frequency refers to the number of steps per minute, measured in steps per minute. The real-time step frequency is calculated by taking the total number of steps in a one-minute sliding window.

[0055] Stride length is estimated using the method where stride length K = height. (A + B (Step frequency), in this embodiment, the height is a standard of 1.7m. The evacuation system platform can be calculated based on the actual height. A is the basic step length coefficient for adults, which is a constant of 0.3. B is the step frequency influence coefficient, which is 0.01. This parameter is adjustable. The evacuation drill system can also be calculated based on the constant.

[0056] In another embodiment, the microcontroller module also has a time synchronization function; for example, after the communication connection is established, time synchronization settings are made with the evacuation drill system. When the Bluetooth network is connected, the wristband data initiates a time request, the evacuation system software replies with the current time, and the wristband sets the time to the hardware timer.

[0057] This invention provides a multi-parameter physiological monitoring wristband suitable for evaluating the subjects of drills. During operation, the wristband is connected to the evacuation drill system via Bluetooth. The wristband acts as a data slave station, automatically transmitting monitoring data to the evacuation drill system. The evacuation drill system supports multi-person collaborative drills, and data is distinguished by different wristband device IDs.

[0058] After powering on, the wristband automatically searches for and connects to the preset evacuation drill system. The microcontroller collects data from various sensors at a frequency of 50Hz. For the MPU6050, the raw acceleration (X, Y, Z), angular velocity (GX, GY, GZ), and quaternions (q1, q2, q3, q4) output are read via IIC. Subsequently, the microcontroller executes the mathematical formulas described above, calculates the rotation matrix, performs coordinate transformation and integration, and finally obtains the displacement ΔS. Simultaneously, heart rate and body temperature are collected and encapsulated together with ΔS and a timestamp. The motion monitoring data is transmitted synchronously using time + spatial coordinates + motion data, and features a resume function after network interruption. When Bluetooth network interference occurs and the wristband does not receive a correct ACK response from the system, the data will be sent at least three times to obtain a correct response. If transmission still fails, it is stored in the data storage module for retransmission.

[0059] Example 2: Based on the same inventive concept, this embodiment of the invention also provides an evacuation drill evaluation system, including a multi-parameter physiological monitoring wristband as described in Embodiment 1 above; and an evacuation drill system, which is communicatively connected to the wristband; the evacuation drill system is configured to receive the status data packet and dynamically display the identifier and physiological parameter data of each drill subject at its corresponding spatial coordinate position in a three-dimensional virtual evacuation scene model for evaluation and analysis.

[0060] This evacuation drill system can be a server running a 3D tunnel model. After receiving data from each wristband, the system parses the device ID, spatial coordinates (X, Y, Z), and heart rate value, and displays the real-time heart rate value above the head of a virtual character model corresponding to that ID at the corresponding location in the 3D model. Administrators can observe the dynamics of the entire evacuation process in real time and can replay and analyze the physiological changes of specific individuals at specific locations (such as turns).

[0061] The synchronization process of the main status data of the bracelet during the exercise includes: 1. Real-time collection of physiological parameter data and motion data of the subject during the exercise through physiological parameter sensing modules and inertial measurement units; 2. The microcontroller module calculates the spatial displacement information of the subject in the virtual evacuation scenario based on motion data; 3. The microcontroller module encapsulates physiological parameter data, spatial displacement information, and time information into a status data packet; 4. The status data packets are sent to the evacuation drill system through the wireless communication module to achieve synchronous mapping between physiological status and spatial location.

[0062] This evacuation drill evaluation system achieves precise mapping between state and space, enabling real-time correlation between the multi-parameter physiological data of the drill participants and their precise locations in a virtual 3D scene. This provides visualization and quantifiable analysis methods for the drill process. Based on objective sensor data, it can accurately analyze evacuation efficiency, bottleneck locations, and individual stress responses, greatly improving the scientific rigor and accuracy of the evaluation.

[0063] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0064] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-parameter physiological monitoring wristband suitable for assessing subjects in drills, characterized in that, include: Microcontroller module; A physiological parameter sensing module, connected to the microcontroller module, is configured to collect at least one physiological parameter data of the subject of the exercise; An inertial measurement unit, connected to the microcontroller module, is configured to collect motion data from the wristband; the motion data includes acceleration, angular velocity, and quaternion data. A wireless communication module, connected to the microcontroller module, is configured to establish a communication connection with an evacuation drill system. A power management module is used to supply power to the various modules of the wristband; The microcontroller module is configured as follows: Based on the motion data collected by the inertial measurement unit, the spatial displacement information of the exercise subject in the virtual evacuation scenario is calculated; The physiological parameter data, the spatial displacement information, and the time information are encapsulated to form a status data packet; The status data packet is sent to the evacuation drill system via the wireless communication module, so that the evacuation drill system can synchronously map and evaluate the physiological state of the subject in the drill with the spatial location in the virtual evacuation scenario.

2. The multi-parameter physiological monitoring wristband according to claim 1, characterized in that, The calculation of the spatial displacement information includes: The rotation matrix is ​​calculated based on the quaternion data output by the inertial measurement unit; The acceleration data in the wristband coordinate system is transformed to the world coordinate system using the rotation matrix, and the influence of gravitational acceleration is eliminated to obtain the motion acceleration. The motion acceleration is integrated twice to obtain the displacement data of the subject of the exercise, and its real-time spatial coordinates in the virtual evacuation scenario are determined based on the displacement data.

3. The multi-parameter physiological monitoring wristband according to claim 2, characterized in that, The microcontroller module is also configured to: The magnitudes of the acceleration and angular velocity of the motion are detected; When the amplitude of the motion acceleration is lower than the first preset threshold and the amplitude of the angular velocity is lower than the second preset threshold, the exercise subject is determined to be in a stationary state, and the integral velocity is zeroed to eliminate the influence of sensor zero drift.

4. The multi-parameter physiological monitoring wristband according to claim 1, characterized in that, The microcontroller module is also configured to: Step counting and step frequency calculation are performed based on the data from the inertial measurement unit; The step counting process includes: performing low-pass filtering on the vertical acceleration data after eliminating the influence of gravity, detecting the peak value of the filtered data, and combining the shielding period to determine the cumulative step count; Step frequency is calculated based on the total number of steps within the sliding time window; Stride length is estimated based on a preset height coefficient and real-time cadence.

5. The multi-parameter physiological monitoring wristband according to claim 1, characterized in that, It also includes a data storage module, which is connected to the microcontroller module; The microcontroller module is also configured to: when no confirmation response is received from the evacuation drill system after the status data packet is sent through the wireless communication module, store the status data packet in the data storage module, and retransmit the stored data packet first after communication is restored.

6. The multi-parameter physiological monitoring wristband according to claim 1, characterized in that, The physiological parameter sensing module includes at least one of a heart rate sensor, a blood oxygen sensor, a blood pressure sensor, and a body surface temperature sensor.

7. The multi-parameter physiological monitoring wristband according to claim 6, characterized in that, The heart rate sensor is a MAX30102 sensor; the microcontroller module obtains the red and infrared light detection values ​​of the heart rate sensor through the IIC interface, and obtains heart rate data by calculating the peak interval of the infrared light.

8. The multi-parameter physiological monitoring wristband according to claim 1, characterized in that, The inertial measurement unit is a six-axis accelerometer that transmits the acquired motion data to the microcontroller module via the IIC interface.

9. The multi-parameter physiological monitoring wristband according to claim 1, characterized in that, The wireless communication module is an HC05 Bluetooth module. The evacuation drill system distinguishes and manages the data of multiple drill subjects by identifying the device IDs of different wristbands.

10. An evacuation drill evaluation system, characterized in that, include: The multi-parameter physiological monitoring wristband as described in any one of claims 1-9; as well as The evacuation drill system, which is connected to the wristband, is configured to receive the status data packets and dynamically display the identifier and physiological parameter data of each drill subject in the three-dimensional virtual evacuation scenario model at its corresponding spatial coordinates for evaluation and analysis.

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