System and method for early warning of danger state of person

Abstract

The present invention relates to a system and method for early warning of a danger state of a person. The system comprises a plurality of sensing acquisition units and a data processing apparatus. The sensing acquisition units are mounted in labor protection devices. Each labor protection device at least comprises a head-mounted device, clothes and shoes. Each sensing acquisition unit comprises a three-axis acceleration sensor, a three-axis gyroscope and a magnetometer. Each sensing acquisition unit in a corresponding labor protection device is used for acquiring posture information of different parts of a human body. The data processing apparatus comprises a smart wristband, and a heart rate monitoring module, a blood oxygen monitoring module and a temperature sensor which are integrated in the smart wristband. The heart rate monitoring module, the blood oxygen monitoring module and the temperature sensor are used for monitoring physiological information of the human body. The sensing acquisition units are in signal connection with the data processing apparatus, and the data processing apparatus determines the state of a person on the basis of the posture information and the physiological information and acquires early warning information on the basis of the state of the person. According to the present invention, the danger state of the person can be accurately identified, such that timely rescue is carried out to guarantee the life safety of personnel.

Description

A system and method for warning personnel of dangerous conditions Technical Field

[0001] The present invention relates to the field of electronic equipment, and in particular to a system and method for warning personnel of dangerous conditions. Background Art

[0002] In various scenarios where personal safety needs to be protected, such as construction sites, factory workshops, and mines, constant monitoring of personnel health is crucial to ensure timely rescue and minimize casualties. Manual inspections are time-consuming, and collecting personnel information is cumbersome, which can easily lead to safety accidents. Currently, intelligent equipment for monitoring personnel health has emerged, such as clothing equipped with heart rate monitoring devices. However, the data collected by these devices is relatively simple, and the recognition algorithms are not precise, making it impossible to accurately determine whether a person has fallen or has been misjudged due to other movements.

[0003] Therefore, how to provide a system and method that can timely and accurately detect and warn personnel of dangerous conditions is a technical problem that needs to be solved urgently by those skilled in the art.

[0004] Summary of the Invention

[0005] The present invention provides a system and method for warning personnel of dangerous conditions to solve the above technical problems.

[0006] In order to solve the above technical problems, the present invention provides a system for warning personnel of dangerous conditions, comprising a plurality of sensor collection units and a data processing device.

[0007] The sensing acquisition unit is installed in the labor protection equipment, which includes at least a head-mounted device, clothing and shoes. The sensing acquisition unit includes a three-axis acceleration sensor, a three-axis gyroscope and a magnetometer. The three-axis acceleration sensor, the three-axis gyroscope and the magnetometer in each of the labor protection equipment are used to collect posture information of different parts of the human body;

[0008] The data processing device includes a smart bracelet and a heart rate detection module, a blood oxygen detection module and a temperature sensor integrated in the smart bracelet, wherein the heart rate detection module, the blood oxygen detection module and the temperature sensor are used to detect physiological information of the human body;

[0009] Each of the sensing and collecting units is signal-connected to the data processing device, and the data processing device determines the status of a person based on the posture information and physiological information and obtains warning information based on the status of the person.

[0010] Preferably, the sensing acquisition unit further includes an ADC converter and a Bluetooth module, wherein the ADC converter converts analog signals detected by the three-axis acceleration sensor, the three-axis gyroscope and the magnetometer into digital signals, and transmits the digital signals to the data processing device via the Bluetooth module.

[0011] Preferably, the operating voltage of the three-axis acceleration sensor, the three-axis gyroscope and the magnetometer is less than 5V.

[0012] Preferably, the data processing device further includes a communication module, a SIM card and a power module with a charging port integrated in the smart bracelet, and the smart bracelet is connected to the cloud and / or mobile terminal through the communication module.

[0013] The present invention also provides a method for early warning of a dangerous state of a person, which is applied to the above-mentioned system and comprises the following steps:

[0014] Step 1: A person wears various labor protection equipment equipped with the sensor collection units, and uses each of the sensor collection units to cyclically collect posture information of different parts of the human body; wears the smart bracelet and uses the heart rate detection module, blood oxygen detection module and temperature sensor integrated in the smart bracelet to cyclically detect physiological information of the human body;

[0015] Step 2: The smart bracelet determines the status of the person based on the posture information and in combination with the physiological information and obtains warning information based on the status of the person.

[0016] Preferably, using each of the sensing acquisition units to cyclically acquire posture information of different parts of the human body includes:

[0017] Step 11: Use a three-axis accelerometer to cyclically collect acceleration data, use a three-axis gyroscope to cyclically collect angular velocity data, and use a magnetometer to cyclically collect magnetic field coordinate data;

[0018] Step 12: Obtain acceleration value, angular velocity value and magnetic field direction change value by extracting feature quantities;

[0019] Step 13: Compare and analyze the acquired acceleration value, angular velocity value, and magnetic field direction change value with a preset first threshold value to determine whether the person has fallen, fallen severely, or fallen from a height.

[0020] Preferably, the first threshold is set to three levels:

[0021] For the sensor collection unit installed on the head-mounted device,

[0022] The first gear is: the acceleration threshold is 1.0m / s 2 , the angular velocity value is 5° / s, and the angle threshold of the magnetic field direction change is 15 degrees;

[0023] The second gear is: the acceleration threshold is 2.5m / s 2 , the angular velocity value is 15° / s, and the angle threshold of the magnetic field direction change is 30 degrees;

[0024] The third gear is: the acceleration threshold is 5.0m / s 2 , the angular velocity value is 25° / s, and the angle threshold of the magnetic field direction change is 50 degrees;

[0025] For the sensing collection unit installed on the clothing,

[0026] The first gear is: the acceleration threshold is 1.5m / s 2 , the angular velocity threshold is 10° / s, and the angle threshold of the magnetic field direction change is 15 degrees;

[0027] The second gear is: the acceleration threshold is 3.5m / s 2 , the angular velocity threshold is 20° / s, and the angle threshold of the magnetic field direction change is 40 degrees;

[0028] The third gear is: the acceleration threshold is 7.0m / s 2 , the angular velocity threshold is 30° / s, and the angle threshold of the magnetic field direction change is 60 degrees;

[0029] For the sensor collection unit installed on the shoe,

[0030] The first gear is: the acceleration threshold is 1.96m / s 2 , the angular velocity threshold is 15° / s, and the angle threshold of the magnetic field direction change is 20 degrees;

[0031] The second gear is: the acceleration threshold is 4.8m / s 2 , the angular velocity threshold is 25° / s, and the angle threshold of the magnetic field direction change is 60 degrees;

[0032] The third gear is: the acceleration threshold is 8.4m / s 2 The angular velocity threshold is 35° / s, and the angle threshold of the magnetic field direction change is 90 degrees.

[0033] Preferably, when the feature quantities extracted by the sensor acquisition units in two labor protection devices reach the second level of the first threshold, it is judged that the person has fallen; when the feature quantities extracted by the sensor acquisition units in three labor protection devices reach the third level of the first threshold, it is judged that the person has fallen seriously or fallen from a height.

[0034] Preferably, the method of cyclically detecting physiological information of the human body using the heart rate detection module, blood oxygen detection module and temperature sensor integrated in the smart bracelet includes:

[0035] Step 14: Use the heart rate detection module to cyclically detect the heart rate value, use the blood oxygen detection module to cyclically detect the blood oxygen saturation, and use the temperature sensor to cyclically detect the body temperature;

[0036] Step 15: Compare and analyze the detected heart rate, blood oxygen saturation and body temperature with a pre-set second threshold value to determine whether the human body's physiological state is normal.

[0037] Preferably, the second threshold is set as:

[0038] The heart rate thresholds are set to 60bpm and 120bpm, the blood oxygen saturation threshold is set to 90%, and the body temperature threshold is set to 37°C. When the detected heart rate value is less than 60bpm or greater than 120bpm, or the blood oxygen saturation is less than 90%, or the body temperature is greater than 37°C, the human physiological state is judged to be abnormal.

[0039] Compared with the prior art, the system and method for warning of dangerous conditions of personnel provided by the present invention have the following advantages:

[0040] 1. Improve safety performance: The present invention can use the sensor collection unit to monitor the movement, posture and other information of personnel in real time, and promptly determine whether the personnel are in a dangerous state, thereby improving the safety of the workplace;

[0041] 2. Reduce the accident rate: By analyzing and providing early warnings on personnel movements, postures and other information, potential safety hazards can be discovered and avoided in a timely manner, thus reducing the accident rate;

[0042] 3. Improve work efficiency: Based on the early warning of dangerous status of personnel, the system can automatically monitor the personnel's movements, postures and other information, reduce the workload of manual monitoring and improve work efficiency;

[0043] 4. Improve accuracy: Using sensors to collect and analyze information such as people's movements and postures, combined with dangerous state recognition algorithms, can more accurately predict people's dangerous states and improve the accuracy of early warnings;

[0044] 5. Strong scalability: It can be expanded and customized according to the needs of different workplaces and is suitable for different workplaces and industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] FIG1 is a block diagram of a system for warning personnel of dangerous conditions in accordance with one embodiment of the present invention;

[0046] FIG2 is a flow chart of collecting posture information and determining personnel status in one embodiment of the present invention;

[0047] FIG3 is a flow chart of collecting physiological information and determining a person's status in a specific embodiment of the present invention.

[0048] In the figure: 10-sensing acquisition unit, 11-three-axis acceleration sensor, 12-three-axis gyroscope, 13-magnetometer, 14-ADC converter, 15-Bluetooth module, 20-data processing device, 21-smart bracelet, 22-heart rate detection module, 23-blood oxygen detection module, 24-temperature sensor, 25-communication module, 26-SIM card, 27-power module, 28-cache module, 30-labor protection equipment. DETAILED DESCRIPTION

[0049] In order to describe the technical solution of the above invention in more detail, specific embodiments are listed below to demonstrate the technical effects; it should be emphasized that these embodiments are used to illustrate the present invention and are not used to limit the scope of the present invention.

[0050] The system for warning of dangerous conditions of personnel provided by the present invention, as shown in FIG1 , includes a plurality of sensor collection units 10 and a data processing device 20, wherein:

[0051] The sensing acquisition unit 10 is installed in the labor protection equipment 30, which includes at least a headgear (such as a safety helmet), clothing (such as a reflective vest) and shoes (such as labor protection shoes). The sensing acquisition unit 10 includes a three-axis acceleration sensor 11, a three-axis gyroscope 12 and a magnetometer 13. The three-axis acceleration sensor 11, the three-axis gyroscope 12 and the magnetometer 13 in each of the labor protection equipment 30 are used to collect posture information of different parts of the human body.

[0052] The data processing device 20 includes a smart bracelet 21 and a heart rate detection module 22, a blood oxygen detection module 23 and a temperature sensor 24 integrated in the smart bracelet 21. The heart rate detection module 22, the blood oxygen detection module 23 and the temperature sensor 24 are used to detect physiological information of the human body. Specifically, light-emitting diodes and photodiodes can be used to monitor heart rate and blood oxygen values.

[0053] Each of the sensing and collecting units 10 is signal-connected to the data processing device 20 . The data processing device 20 determines the status of a person based on the posture information and physiological information and obtains warning information based on the status of the person.

[0054] The present invention utilizes the sensing acquisition unit 10 to collect posture information of different parts of the human body, and promptly and accurately determines whether a person is in a dangerous state, thereby improving safety and reducing the accident rate.

[0055] In some embodiments, please continue to refer to Figure 1. The sensing acquisition unit 10 also includes an ADC converter 14 and a Bluetooth module 15. The ADC converter 14 converts the analog signals detected by the three-axis acceleration sensor 11, the three-axis gyroscope 12, and the magnetometer 13 into digital signals, and transmits them to the data processing device 20 via the Bluetooth module 15 to realize the conversion and transmission of detection data.

[0056] In some embodiments, the three-axis gyroscope 12 can employ the Murata LPR series LPR530AL, with a maximum measurement range of ±2000 deg / s; the three-axis accelerometer 11 can employ the Analog Devices ADXL335, with a measurement range of ±3g; and the magnetometer 13 can employ the Honeywell HMC5983, with a measurement range of ±8 gauss. The operating voltage of the three-axis accelerometer 11, three-axis gyroscope 12, and magnetometer 13 are all less than 5V, facilitating miniaturization and wearability.

[0057] In some embodiments, the data processing device 20 further includes a communication module 25, a SIM card 26, and a power module 27 with a USB2.0 charging port integrated in the smart bracelet 21. The power module 27 is used to power the data processing device 20 and can be charged through the charging port; the SIM card 26 is used for user identification; and a cache module 28 can also be included for data caching; the smart bracelet 21 is connected to the cloud and / or mobile terminal through the communication module 25, thereby completing alarm and information management.

[0058] In some embodiments, the data processing device 20 may use an STM32 series single-chip microcomputer with two built-in CPU cores, thereby achieving multi-tasking and improving data processing efficiency.

[0059] The present invention also provides a method for early warning of a dangerous state of a person, which is applied to the above-mentioned system and comprises the following steps:

[0060] Step 1: A person wears various labor protection equipment 30 equipped with the sensor collection unit 10, and uses each of the sensor collection units 10 to cyclically collect posture information of different parts of the human body; wears the smart bracelet 21 and uses the heart rate detection module 22, blood oxygen detection module 23 and temperature sensor 24 integrated in the smart bracelet 21 to cyclically detect physiological information of the human body;

[0061] Step 2: The smart bracelet 21 determines the status of the person based on the posture information and in combination with the physiological information and obtains warning information based on the status of the person.

[0062] The above method can automatically monitor the movement and posture of personnel, reduce the workload of manual monitoring, and improve work efficiency.

[0063] In some embodiments, referring specifically to FIG. 2 , the sensor collection units 10 are used to cyclically collect posture information of different parts of the human body, including:

[0064] Step 11: using the three-axis acceleration sensor 11 to cyclically collect acceleration data, using the three-axis gyroscope 12 to cyclically collect angular velocity data, and using the magnetometer 13 to cyclically collect magnetic field coordinate data, with a sampling frequency of 100 Hz;

[0065] Step 12: Obtain acceleration value, angular velocity value and magnetic field direction change value by extracting feature values. In some embodiments, the feature value extraction calculation method is: acceleration value αn = sqrt(ax^2+ay^2+az^2), where ax, ay, az are the components of the three axial (x, y, z) acceleration values, and the unit is m / s 2 Angular velocity ω = sqrt(gx^2 + gy^2 + gz^2), where gx, gy, and gz are the three axial angular velocity components, measured in rad / s. Magnetic field direction = sqrt(mx^2 + my^2 + mz^2), where mx, my, and mz are the three axial magnetic field components, measured in Gs.

[0066] Step 13: Compare and analyze the acquired acceleration value, angular velocity value, and magnetic field direction change value with a preset first threshold value to determine whether the person has fallen, fallen severely, or fallen from a height.

[0067] In some embodiments, the first threshold is set to three levels:

[0068] For the sensor collection unit 10 installed on the head-mounted device,

[0069] The first gear (FT1) is: the acceleration threshold is 1.0m / s 2 , the angular velocity value is 5° / s, and the angle threshold of the magnetic field direction change is 15 degrees;

[0070] The second gear (FT2) is: the acceleration threshold is 2.5m / s 2 , the angular velocity value is 15° / s, and the angle threshold of the magnetic field direction change is 30 degrees;

[0071] The third gear (FT3) is: the acceleration threshold is 5.0m / s 2 , the angular velocity value is 25° / s, and the angle threshold of the magnetic field direction change is 50 degrees;

[0072] Regarding the sensing collection unit 10 installed on the clothing,

[0073] The first gear is: the acceleration threshold is 1.5m / s 2 , the angular velocity threshold is 10° / s, and the angle threshold of the magnetic field direction change is 15 degrees;

[0074] The second gear is: the acceleration threshold is 3.5m / s 2 , the angular velocity threshold is 20° / s, and the angle threshold of the magnetic field direction change is 40 degrees;

[0075] The third gear is: the acceleration threshold is 7.0m / s 2 , the angular velocity threshold is 30° / s, and the angle threshold of the magnetic field direction change is 60 degrees;

[0076] Regarding the sensing acquisition unit 10 installed on the shoe,

[0077] The first gear is: the acceleration threshold is 1.96m / s 2 , the angular velocity threshold is 15° / s, and the angle threshold of the magnetic field direction change is 20 degrees;

[0078] The second gear is: the acceleration threshold is 4.8m / s 2 , the angular velocity threshold is 25° / s, and the angle threshold of the magnetic field direction change is 60 degrees;

[0079] The third gear is: the acceleration threshold is 8.4m / s 2 The angular velocity threshold is 35° / s, and the angle threshold of the magnetic field direction change is 90 degrees.

[0080] When the threshold reaches FT1, the person usually shows signs of falling. When the threshold reaches FT2, the person usually has fallen to the ground. When the threshold reaches FT3, the person may fall from a height or roll over severely.

[0081] In some embodiments, when the feature quantities extracted by the sensor acquisition units 10 in two labor protection devices 30 reach the second level of the first threshold, it is judged that the person has fallen; when the feature quantities extracted by the sensor acquisition units 10 in three labor protection devices 30 reach the third level of the first threshold, it is judged that the person has fallen seriously or fallen from a height.

[0082] Specifically, a single piece of equipment (a single part of the human body) cannot be used as a standard for a complete fall after reaching the threshold, because a single piece of equipment may have only performed specific actions when exceeding the threshold, such as sitting, lying down, squatting, etc., and cannot be used as a complete reference indicator. Combining the sensor thresholds of three pieces of equipment (human head, torso and legs) can effectively solve this problem, because the acceleration values ​​and angular velocity values ​​of the three pieces of labor protection equipment 30 change greatly when falling, mainly concentrated in the impact acceleration generated at the moment of falling, and the direction is perpendicular to the ground. The acceleration of the head, torso, and legs are different when falling. The order of the duration of the change in sensor values ​​when falling head-on, sideways, and backward is head>torso>legs, and the order of landing is legs>torso>head. By simulating the state of falling, a type of key data is obtained, which is the duration from the beginning of falling to landing. Assume that a person falls while walking at a constant speed. The time from the start of the fall to the time of contact with the ground is less than 3.5 seconds for the head, less than 2.5 seconds for the torso, and less than 1.5 seconds for the legs. The duration of the fall can be used to determine whether the person has fallen. If the time is greater than the threshold or no sensor value changes at the same time, it can be determined that the person has not fallen.

[0083] The data collected by the sensor acquisition units 10 in the three pieces of equipment can be mutually verified, thereby improving the accuracy of fall detection and reducing misjudgments and missed detections. Developed for different scenarios and needs, it has a wide range of applications and can meet the needs of different industries and fields. Its accuracy is significantly improved compared to single-piece equipment, reaching 92%.

[0084] In some embodiments, please focus on FIG3 , the method of cyclically detecting physiological information of the human body using the heart rate detection module 22, the blood oxygen detection module 23, and the temperature sensor 24 integrated in the smart bracelet 21 includes:

[0085] Step 14: The heart rate detection module 22 is used to cyclically detect the heart rate value, the blood oxygen detection module 23 is used to cyclically detect the blood oxygen saturation, and the temperature sensor 24 is used to cyclically detect the body temperature, with a sampling frequency of 1 Hz;

[0086] Step 15: Compare and analyze the detected heart rate, blood oxygen saturation and body temperature with a pre-set second threshold value to determine whether the human body's physiological state is normal.

[0087] In some embodiments, the second threshold is set to:

[0088] The heart rate thresholds are set to 60bpm and 120bpm, the blood oxygen saturation threshold is set to 90%, and the body temperature threshold is set to 37°C. When the detected heart rate value is less than 60bpm or greater than 120bpm, or the blood oxygen saturation is less than 90%, or the body temperature is greater than 37°C, the human physiological state is judged to be abnormal.

[0089] For situations like sudden heart attacks, heat stroke, heart rate disorders, and hypoxia, the system uses physiological data from individuals as a basis. The normal range for an adult's heart rate is 60-100 bpm, and the normal range for blood oxygen saturation is 95-100%. This data is then used to set an appropriate second threshold. The obtained feature value is then compared against the set second threshold. If the threshold is exceeded, a dangerous condition is identified and an alarm is issued.

[0090] It should be noted that the present invention can be implemented through hardware design and software programming, and the specific implementation method can be adjusted and optimized according to actual conditions. Specifically, the hardware design needs to be customized according to different labor protection equipment 30 to ensure that the sensor installation location and method meet actual needs. In terms of software programming, the algorithm can be debugged and optimized in combination with actual application scenarios to achieve reliable and accurate dangerous state identification and alarm.

[0091] In summary, the system and method for warning of dangerous conditions of personnel provided by the present invention include multiple sensing acquisition units 10 and a data processing device 20. The sensing acquisition unit 10 is installed in a labor protection device 30, and the labor protection device 30 includes at least a head-mounted device, clothing and shoes. The sensing acquisition unit 10 includes a three-axis acceleration sensor 11, a three-axis gyroscope 12 and a magnetometer 13. The three-axis acceleration sensor 11, the three-axis gyroscope 12 and the magnetometer 13 in each of the labor protection devices 30 are used to collect posture information of different parts of the human body; the data processing device 20 includes a smart bracelet 21 and a heart rate detection module 22, a blood oxygen detection module 23 and a temperature sensor 24 integrated in the smart bracelet 21. The heart rate detection module 22, the blood oxygen detection module 23 and the temperature sensor 24 are used to detect physiological information of the human body; each of the sensing acquisition units 10 is signal-connected to the data processing device 20, and the data processing device 20 judges the status of the person based on the posture information and physiological information and obtains warning information based on the status of the person. The present invention utilizes the sensing acquisition unit 10 to collect posture information of different parts of the human body, and promptly and accurately determines whether a person is in a dangerous state, thereby improving safety and reducing the accident rate.

[0092] Obviously, those skilled in the art may make various changes and modifications to the invention without departing from the spirit and scope of the invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A system for warning of dangerous conditions of personnel, characterized in that: It includes multiple sensor collection units and data processing devices. The sensing acquisition unit is installed in the labor protection equipment, which at least includes a head-mounted device, clothing and shoes. The sensing acquisition unit includes a three-axis acceleration sensor, a three-axis gyroscope and a magnetometer. The three-axis acceleration sensor, the three-axis gyroscope and the magnetometer in each of the labor protection equipment are used to collect posture information of different parts of the human body; The data processing device includes a smart bracelet and a heart rate detection module, a blood oxygen detection module and a temperature sensor integrated in the smart bracelet, wherein the heart rate detection module, the blood oxygen detection module and the temperature sensor are used to detect physiological information of a human body; Each of the sensor collection units is signal-connected to the data processing device, and the data processing device determines the status of a person based on the posture information and physiological information and obtains warning information based on the status of the person.

2. The system for warning personnel of dangerous conditions as claimed in claim 1, characterized in that: The sensing acquisition unit also includes an ADC converter and a Bluetooth module. The ADC converter converts analog signals detected by the three-axis acceleration sensor, the three-axis gyroscope and the magnetometer into digital signals, and transmits them to the data processing device via the Bluetooth module.

3. The system for warning personnel of dangerous conditions as claimed in claim 1, characterized in that: The operating voltages of the three-axis acceleration sensor, the three-axis gyroscope and the magnetometer are all less than 5V.

4. The system for warning personnel of dangerous conditions as claimed in claim 1, characterized in that: The data processing device also includes a communication module, a SIM card and a power module with a charging port integrated in the smart bracelet, and the smart bracelet is connected to the cloud and / or mobile terminal through the communication module.

5. A method for warning of dangerous status of personnel, applied to the system as claimed in any one of claims 1 to 4, characterized in that: The steps include: Step 1: A person wears various labor protection equipment equipped with the sensor collection unit, and uses each of the sensor collection units to cyclically collect posture information of different parts of the human body; wears the smart bracelet and uses the heart rate detection module, blood oxygen detection module and temperature sensor integrated in the smart bracelet to cyclically detect the physiological information of the human body; Step 2: The smart bracelet determines the person's status based on the posture information and combined with the physiological information And obtain early warning information based on the personnel status.

6. The method for warning a person of a dangerous state as claimed in claim 5, characterized in that: Utilizing each of the sensing collection units to cyclically collect posture information of different parts of the human body includes: Step 11: using a three-axis acceleration sensor to cyclically collect acceleration data, using a three-axis gyroscope to cyclically collect angular velocity data, and using a magnetometer to cyclically collect magnetic field coordinate data; Step 12: Obtain acceleration value, angular velocity value and magnetic field direction change value by extracting feature quantities; Step 13: Compare and analyze the acquired acceleration value, angular velocity value, and magnetic field direction change value with a preset first threshold value to determine whether the person has fallen, fallen severely, or fallen from a height.

7. The method for warning a person of a dangerous state as claimed in claim 6, characterized in that: The first threshold is set to three levels: For the sensor collection unit installed on the head-mounted device, The first gear is: the acceleration threshold is 1.0m / s 2 , the angular velocity value is 5° / s, and the angle threshold of the magnetic field direction change is 15 degrees; The second gear is: the acceleration threshold is 2.5m / s 2 , the angular velocity value is 15° / s, and the angle threshold of the magnetic field direction change is 30 degrees; The third gear is: the acceleration threshold is 5.0m / s 2 , the angular velocity value is 25° / s, and the angle threshold of the magnetic field direction change is 50 degrees; For the sensor collection unit installed on the clothing, The first gear is: the acceleration threshold is 1.5m / s 2 , the angular velocity threshold is 10° / s, and the angle threshold of the magnetic field direction change is 15 degrees; The second gear is: the acceleration threshold is 3.5m / s 2 , the angular velocity threshold is 20° / s, and the angle threshold of the change in magnetic field direction is 40 degrees; The third gear is: the acceleration threshold is 7.0m / s 2 , the angular velocity threshold is 30° / s, and the angle threshold of the magnetic field direction change is 60 degrees; For the sensor collection unit installed on the shoe, The first gear is: the acceleration threshold is 1.96m / s 2 , the angular velocity threshold is 15° / s, and the angle threshold of the change in magnetic field direction is 20 degrees; The second gear is: the acceleration threshold is 4.8m / s 2 , the angular velocity threshold is 25° / s, and the angle threshold of the magnetic field direction change is 60 degrees; The third gear is: the acceleration threshold is 8.4m / s 2 The angular velocity threshold is 35° / s, and the angle threshold of the magnetic field direction change is 90 degrees.

8. The method for warning a person of a dangerous state as claimed in claim 7, characterized in that: When the feature quantities extracted by the sensor collection units in two labor protection devices reach the second level of the first threshold, it is judged that the person has fallen; when the feature quantities extracted by the sensor collection units in three labor protection devices reach the third level of the first threshold, it is judged that the person has fallen seriously or fallen from a height.

9. The method for warning a person of a dangerous state as claimed in claim 5, characterized in that: The method of cyclically detecting physiological information of a human body by using the heart rate detection module, the blood oxygen detection module and the temperature sensor integrated in the smart bracelet includes: Step 14: Use the heart rate detection module to cyclically detect the heart rate value, use the blood oxygen detection module to cyclically detect the blood oxygen saturation, and use the temperature sensor to cyclically detect the body temperature; Step 15: Compare and analyze the detected heart rate value, blood oxygen saturation and body temperature with the pre-set second threshold value to determine whether the human body's physiological state is normal.

10. The method for warning a person of a dangerous state according to claim 9, characterized in that: The second threshold is set as: The heart rate thresholds are set to 60bpm and 120bpm, the blood oxygen saturation threshold is set to 90%, and the body temperature threshold is set to 37°C. When the detected heart rate value is less than 60bpm or greater than 120bpm, or the blood oxygen saturation is less than 90%, or the body temperature is greater than 37°C, the human physiological state is judged to be abnormal.

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