Active prevention measure and system based on individual emergency protection

Abstract

The invention discloses an active prevention measure and system based on individual emergency protection. The method comprises the steps of hardware module integration and test, core function logic development, cloud system architecture construction, power supply and industrial design and system integration and compliance authentication. The invention belongs to the technical field of campus safety, and particularly relates to an active prevention measure and system based on individual emergency protection, and the scheme adopts a magnetic latching relay to realize physical disconnection, adopts a dual authentication process, sets a one-way communication system, and carries out dynamic sound pressure adjustment based on environmental noise; an end-to-end encryption channel is developed, a double-encryption mode is adopted, a dynamic fragmentation storage technology is applied, an encryption channel is established, key exchange and video fragmentation hash verification are adopted, an equipment state vector is defined, and a 3D convolutional neural network is adopted to identify violent behaviors.

Description

Technical Field

[0001] The present invention belongs to the technical field of campus security, and specifically relates to an active prevention measure and system based on individual emergency protection. Background Art

[0002] The active prevention measure based on individual emergency protection is an auxiliary electronic device for actively preventing and stopping campus bullying incidents among teenagers. It can effectively record audio and video materials and the coordinate position of the occurrence place during severe events, assisting the police in investigating and collecting evidence. However, the existing active prevention measures based on individual emergency protection have technical problems such as the lack of guarantee for user privacy, the need to improve the hardware security of the device, and the influence of environmental noise on the monitoring accuracy; there are also technical problems such as the need to further protect the storage and transmission of cloud data, the difficulty in ensuring the integrity and security of data during cloud interaction, and the difficulty in accurately identifying violent behaviors. Summary of the Invention

[0003] In view of the above situation, to overcome the defects of the prior art, the present invention provides an active prevention measure and system based on individual emergency protection. For the technical problems of the lack of guarantee for user privacy, the need to improve the hardware security of the device, and the influence of environmental noise on the monitoring accuracy, a privacy protection mechanism is set up, a hardware-level switch circuit is developed, a magnetic latching relay is used to achieve physical disconnection, a dual authentication process is adopted, a one-way communication system is set up, and dynamic sound pressure adjustment is performed based on environmental noise; for the technical problems of the need to further protect the storage and transmission of cloud data, the difficulty in ensuring the integrity and security of data during cloud interaction, and the difficulty in accurately identifying violent behaviors, an end-to-end encrypted channel is developed using a double-encryption method and a dynamic sharding storage technology is applied, an encrypted channel is established, key exchange and video shard hash verification are adopted, a device state vector is defined, and a 3D convolutional neural network is used to identify violent behaviors.

[0004] The technical solution adopted by the present invention is as follows: An active prevention measure and system based on individual emergency protection provided by the present invention, the method includes the following steps:

[0005] Step S1: Hardware module integration and testing, performing sensor adaptation and hardware linkage testing;

[0006] Step S2: Core function logic development, setting up a privacy protection mechanism, developing a hardware-level switch circuit, using a magnetic latching relay to achieve physical disconnection, adopting a dual authentication process, setting up a one-way communication system, and performing dynamic sound pressure adjustment based on environmental noise;

[0007] Step S3: Cloud system architecture construction. Develop an end-to-end encryption channel using a dual-encryption method and apply dynamic sharding storage technology to establish an encrypted channel. Adopt key exchange and video shard hash verification, define the device status vector, and use a 3D convolutional neural network to identify violent behavior;

[0008] Step S4: Power supply and industrial design. Solve the battery life problem and conduct human-computer interaction;

[0009] Step S5: System integration and compliance certification. Conduct full-function joint debugging and stress testing, give the cumulative failure probability calculated by the on-off Markov chain, calculate the radio frequency compliance range, and optimize the voice prompt system.

[0010] Furthermore, in Step S1, the hardware module integration and testing include the following steps:

[0011] Step S11: Selection and adaptation of sensing devices. Match cameras according to age groups. Use a wide-angle camera for teenagers, a 45-degree oblique wide-angle camera for children, and an ultra-wide-angle camera for infants; adopt a high signal-to-noise ratio microphone array that supports noise reduction and directional sound pickup; adopt a dual-mode positioning module with a positioning accuracy of less than 2 meters;

[0012] Calculate the signal-to-noise ratio of the microphone array. The formula used is as follows:

[0013] ;

[0014] In the formula, SNR represents the signal-to-noise ratio, represents the effective sound pressure signal power, represents the microphone background noise power;

[0015] Adopt positioning error compensation. The dual-mode positioning uses Kalman filter fusion to ensure that the horizontal error is less than 1.8m in 95% of the scenarios. The formula used is as follows:

[0016] ;

[0017] In the formula, represents the state vector at time k, A represents the state transition matrix, B represents the control input matrix, represents the control input, represents the process noise;

[0018] Step S12: Hardware linkage testing. Conduct throughput testing between the camera and the memory. The automatic wake-up response time of the microphone and the camera in an emergency needs to be less than 0.5 seconds; the physical switch anti-misoperation design requires that the interval between two consecutive presses is less than 800ms;

[0019] For the throughput testing of the memory, conduct video stream bitrate control. The formula used is as follows:

[0020] ;

[0021] Wherein, R represents the output bit rate, w represents the horizontal video resolution, h represents the vertical video resolution, fps represents the frame rate, bpp represents the original pixel bit depth, and compression represents the compression ratio;

[0022] For the wake-up response mode, the power management IC needs to satisfy the following formula:

[0023] ;

[0024] Wherein, represents the total system response delay, represents the wake-up time of the digital signal processor, represents the sensor startup time.

[0025] Furthermore, in step S2, the development of the core functional logic includes the following steps:

[0026] Step S21: Privacy protection mechanism. Develop a hardware-level switch circuit to ensure that the camera and MIC power are completely disconnected when not started, and implement a dual-verification mechanism, which requires secondary confirmation by the physical switch box and the cloud guardian;

[0027] For the hardware-level isolation design, a magnetic latching relay is used to achieve physical disconnection, and the formula used is as follows:

[0028] ;

[0029] Wherein, represents the insulation resistance in the relay off state;

[0030] Step S22: Dual authentication process, and the formula used is as follows:

[0031] ;

[0032] Wherein, represents the total authentication process, represents the physical switch trigger signal, represents the SMS dynamic verification code, represents the guardian biometric verification;

[0033] After the physical switch is triggered, the device sends an activation request to the cloud;

[0034] The cloud returns an encrypted challenge code;

[0035] After the device verifies the signature, it enters any of the following processes: send to the guardian's registered mobile phone number and request biometric verification of the guardian APP;

[0036] Step S23: For the one-way communication system, develop a dedicated communication channel for the SIM module, restricting it to only answer calls from guardians; enable intelligent sound pressure level adjustment, where the speaker automatically adjusts the volume to 60 - 85 dB according to the ambient noise;

[0037] The white list communication protocol uses the following formula:

[0038] ;

[0039] In the formula, represents the call permission output, represents the International Mobile Subscriber Identity (IMSI) of the i-th caller, represents the conditional judgment indicator function, represents the guardian pre-authorized IMSI list;

[0040] Step S24: Dynamic sound pressure adjustment, based on PID control of ambient noise, uses the following formula:

[0041] ;

[0042] In the formula, represents the output drive voltage, represents the proportional gain coefficient, represents the real-time sound pressure error, represents the integral gain coefficient, represents the differential gain coefficient.

[0043] Furthermore, in step S3, the construction of the cloud system architecture includes the following steps:

[0044] Step S31: For the secure transmission system, develop an end-to-end encrypted channel, using AES-256 + SSL double encryption, and adopt the dynamic sharding storage technology, where the video is uploaded in 10-minute segments;

[0045] Step S32: Establish an encrypted channel, using ECDHE key exchange, and perform video shard hash verification, using the following formula:

[0046] ;

[0047] ;

[0048] In the formula, represents the session key, p represents the modulus of the prime field, a represents the temporary private key of the device, b represents the temporary private key of the cloud, and g represents the elliptic curve base point;

[0049] Step S33: Multi-terminal collaboration, development of the guardian app. The real-time viewing interface needs to display the positioning accuracy radius, remaining battery duration, and remaining storage capacity. Cloud AI analysis module for abnormal voiceprint recognition and violent behavior image recognition;

[0050] Step S34: State quantity transmission protocol, defining the device state vector, with the formula as follows:

[0051] ;

[0052] In the formula, S represents the device state vector, represents the percentage of remaining battery power, represents the positioning accuracy radius, represents the remaining storage capacity, and T represents the transpose of the vector;

[0053] Step S35: Intelligent recognition model. For violent behavior recognition, a 3D convolutional neural network is used, with the formula as follows:

[0054] ;

[0055] In the formula, represents the predicted value of the violent behavior probability, represents the activation function, represents that the input video segment is a ten-second time window, represents the 3D convolutional kernel weight, * represents the 3D convolutional operation, and b represents the bias term.

[0056] Furthermore, in step S4, the power supply and industrial design include the following steps:

[0057] Step S41: Battery life solution, using a 5000mAh fast-charging battery with low-power consumption design;

[0058] Step S42: Human-computer interaction design, using an LED status indicator. Green represents normal power; yellow represents low power; red represents an emergency power state; using an IP54 protection level enclosure, with an internal microphone waterproof membrane, using a design without sharp corners, made of food-grade silicone material, meeting the safety standards for children's products.

[0059] Furthermore, in step S5, the system integration and compliance certification include the following steps:

[0060] Step S51: Full-function joint debugging and stress testing. It is necessary to simulate 1000 times of on-off durability and conduct network adaptability testing;

[0061] Step S52: On-off Markov chain, with the formula as follows:

[0062] ;

[0063] In the formula, represents the cumulative failure probability after 1000 cycles, represents the single power-on / off failure probability;

[0064] Step S53: Conduct legal compliance preparation, obtain SRRC radio certification, pass the GDPR data protection assessment, and apply for children's smart hardware safety certification;

[0065] Step S54: Calculate the radio frequency compliance range, and the formula used is as follows:

[0066] ;

[0067] In the formula, represents the radio frequency power absorbed per gram of tissue, and f represents the working power;

[0068] Step S55: Optimize the voice prompt system, support multiple languages, adjust the prompt volume, and calculate the volume attenuation curve. The formula used is as follows:

[0069] ;

[0070] In the formula, represents the actual sound pressure level at distance d, represents the initial sound pressure level at the reference distance , d represents the distance between the measurement point and the sound source, represents the air absorption coefficient.

[0071] An insurance intelligent recommendation system based on user portraits provided by the present invention includes a hardware module integration and testing module, a core function logic development module, a cloud system architecture construction module, a power supply and industrial design module, and a system integration and compliance certification module;

[0072] The hardware module integration and testing module conducts sensor adaptation and hardware linkage testing;

[0073] The core function logic development module sets up a privacy protection mechanism, develops a hardware-level switch circuit, physically disconnects using a magnetic latching relay, adopts a dual authentication process, sets up a one-way communication system, and dynamically adjusts the sound pressure based on ambient noise;

[0074] The cloud system architecture construction module develops an end-to-end encryption channel using a dual encryption method and applies a dynamic sharding storage technology, establishes an encrypted channel, adopts key exchange and video shard hash verification, defines a device state vector, and uses a 3D convolutional neural network to identify violent behavior;

[0075] The power supply and industrial design module solves the battery life problem and conducts human-computer interaction;

[0076] The system integration and compliance certification module conducts full-function joint debugging and stress testing, gives the cumulative failure probability calculated by the on-off Markov chain, calculates the radio frequency compliance range, and optimizes the voice prompt system.

[0077] The beneficial effects achieved by the present invention using the above solution are as follows:

[0078] (1) Aiming at the technical problems that user privacy cannot be guaranteed, the device needs to be improved in terms of hardware security, and environmental noise affects the accuracy of monitoring, a privacy protection mechanism is set up, a hardware-level switch circuit is developed, a magnetic latching relay is used to achieve physical disconnection, a dual authentication process is adopted, a one-way communication system is set up, and dynamic sound pressure adjustment is performed based on environmental noise;

[0079] (2) Aiming at the technical problems that the storage and transmission of cloud data need to be further protected, the integrity and security of data during cloud interaction are difficult to guarantee, and violent behavior is difficult to accurately identify, an end-to-end encryption channel is developed using a dual encryption method and dynamic sharding storage technology, an encrypted channel is established, key exchange and video shard hash verification are adopted, the device state vector is defined, and a 3D convolutional neural network is used to identify violent behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 It is a schematic flow chart of an active prevention measure and system based on individual emergency protection provided by the present invention;

[0081] Figure 2 It is a schematic diagram of an active prevention system based on individual emergency protection provided by the present invention;

[0082] Figure 3 It is a schematic flow chart of step S2;

[0083] Figure 4 It is a schematic flow chart of step S3.

[0084] The 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 to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0085] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0086] In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc. indicating the orientation or positional relationship are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0087] Embodiment 1, refer to Figure 1 , an active prevention measure and system based on individual emergency protection provided by the present invention, the method includes the following steps:

[0088] Step S1: Hardware module integration and testing, perform sensor adaptation and hardware linkage testing;

[0089] Step S2: Core function logic development, set up a privacy protection mechanism, develop a hardware-level switch circuit, use a magnetic latching relay to achieve physical disconnection, adopt a dual authentication process, set up a one-way communication system, and perform dynamic sound pressure adjustment based on environmental noise;

[0090] Step S3: Cloud system architecture construction, develop an end-to-end encryption channel using a dual encryption method and apply dynamic sharding storage technology, establish an encrypted channel, use key exchange and video shard hash verification, define the device state vector, and use a 3D convolutional neural network to identify violent behavior;

[0091] Step S4: Power supply and industrial design, solve the battery life problem and perform human-computer interaction;

[0092] Step S5: System integration and compliance certification, perform full-function joint debugging and stress testing, give the cumulative failure probability calculated by the on-off Markov chain, calculate the radio frequency compliance range, and optimize the voice prompt system.

[0093] Embodiment 2, refer to Figure 1 , this embodiment is based on the above embodiment, in step S1, the hardware module integration and testing includes the following steps:

[0094] Step S11: Selection and adaptation of sensing devices, match cameras according to age groups, use a wide-angle camera for teenagers, a 45-degree oblique wide-angle camera for children, and an ultra-wide-angle camera for infants; use a high signal-to-noise ratio microphone array, support noise reduction and directional sound pickup; use a dual-mode positioning module with a positioning accuracy of less than 2 meters;

[0095] Calculate the signal-to-noise ratio of the microphone array, and the formula used is as follows:

[0096] ;

[0097] In the formula, SNR represents the signal-to-noise ratio, represents the effective sound pressure signal power, represents the microphone background noise power;

[0098] Adopt positioning error compensation, and the dual-mode positioning uses Kalman filter fusion to ensure that the horizontal error is less than 1.8m in 95% of the scenarios. The formula used is as follows:

[0099] ;

[0100] In the formula, represents the state vector at time k, A represents the state transition matrix, B represents the control input matrix, represents the control input, represents the process noise;

[0101] Step S12: Hardware linkage test, camera and memory throughput test. In case of emergency, the automatic wake-up response time of the microphone and camera needs to be less than 0.5 seconds; the physical switch anti-misoperation design requires that the interval between two consecutive presses is less than 800ms;

[0102] For the memory throughput test, video stream bitrate control is performed. The formula used is as follows:

[0103] ;

[0104] In the formula, R represents the output bitrate, w represents the video horizontal resolution, h represents the video vertical resolution, fps represents the frame rate, bpp represents the original pixel bit depth, and compression represents the compression ratio;

[0105] For the wake-up response mode, the power management IC needs to satisfy the following formula:

[0106] ;

[0107] In the formula, represents the total system response delay, represents the digital signal processor wake-up time, represents the sensor startup time.

[0108] Example 3, refer to Figure 1 and Figure 3 Based on the above example, in step S2, the core function logic development includes the following steps:

[0109] Step S21: Privacy protection mechanism. Develop a hardware-level switch circuit to ensure that the camera and MIC power are completely disconnected when not started, and implement a dual-verification mechanism, which requires secondary confirmation by the physical switch and the cloud guardian;

[0110] Hardware-level isolation design, using magnetic latching relays to achieve physical disconnection. The formula used is as follows:

[0111] ;

[0112] In the formula, represents the insulation resistance in the relay off state;

[0113] Step S22: Dual authentication process. The formula used is as follows:

[0114] ;

[0115] In the formula, represents the total authentication process, represents the physical switch trigger signal, represents the SMS dynamic verification code, represents the guardian biometric verification;

[0116] After the physical switch is triggered, the device sends an activation request to the cloud;

[0117] The cloud returns an encrypted challenge code;

[0118] After the device verifies the signature, it enters any of the following processes: sending to the guardian's registered mobile phone number to request biometric verification of the guardian APP;

[0119] Step S23: One-way communication system, development of a dedicated communication channel for the SIM module, restricting only incoming calls from the guardian; intelligent sound pressure level adjustment, the speaker automatically adjusts the volume to 60 - 85 dB according to the ambient noise;

[0120] White list communication protocol. The formula used is as follows:

[0121] ;

[0122] In the formula, represents the call permission output, represents the International Mobile Subscriber Identity of the i-th caller, represents the conditional judgment indicator function, represents the guardian pre-authorized IMSI list;

[0123] Step S24: Dynamic sound pressure adjustment, PID control based on ambient noise. The formula used is as follows:

[0124] ;

[0125] In the formula, represents the output drive voltage, represents the proportional gain coefficient, represents the real-time sound pressure error, represents the integral gain coefficient, represents the differential gain coefficient.

[0126] By performing the above operations, adopting a privacy protection mechanism, developing a hardware-level switch circuit, achieving physical disconnection using a magnetic latching relay, adopting a dual authentication process, setting up a one-way communication system, and performing dynamic sound pressure adjustment based on environmental noise, the technical problems of user privacy not being guaranteed, the need to improve the hardware security of the device, and the impact of environmental noise on the monitoring accuracy are solved.

[0127] Example 4, refer to Figure 1 and Figure 4 , this example is based on the above example. In step S3, the construction of the cloud system architecture includes the following steps:

[0128] Step S31: Secure transmission system, develop an end-to-end encrypted channel, adopt AES-256+SSL double encryption, and adopt dynamic sharding storage technology. The video is uploaded in segments of 10 minutes;

[0129] Step S32: Establishment of an encrypted channel, adopt ECDHE key exchange, and perform video shard hash verification. The formula used is as follows:

[0130] ;

[0131] ;

[0132] In the formula, represents the session key, p represents the modulus of the prime field, a represents the temporary private key of the device, b represents the temporary private key of the cloud, and g represents the elliptic curve base point;

[0133] Step S33: Multi-terminal collaboration, develop a guardian app, and the real-time viewing interface needs to display the positioning accuracy radius, remaining battery duration, and remaining storage capacity; a cloud AI analysis module for abnormal voiceprint recognition and violent behavior image recognition;

[0134] Step S34: State quantity transmission protocol, define the device state vector. The formula used is as follows:

[0135] ;

[0136] In the formula, S represents the device state vector, represents the percentage of remaining battery power, represents the positioning accuracy radius, represents the remaining storage capacity, and T represents the transpose of the vector;

[0137] Step S35: Intelligent recognition model. For violent behavior recognition, a 3D convolutional neural network is used, and the formula is as follows:

[0138] ;

[0139] In the formula, represents the predicted value of the probability of violent behavior, represents the activation function, represents that the input video segment is a ten-second time window, represents the weights of the 3D convolutional kernel, * represents the 3D convolution operation, and b represents the bias term.

[0140] By performing the above operations, a dual-encryption method is adopted for the development of an end-to-end encryption channel and the dynamic sharding storage technology is used to establish an encrypted channel. Key exchange and video shard hash verification are adopted, the device state vector is defined, and a 3D convolutional neural network is used to identify violent behavior, solving the technical problems that the storage and transmission of cloud data need to be further protected, the integrity and security of data during cloud interaction are difficult to guarantee, and violent behavior is difficult to accurately identify.

[0141] Example 5, refer to Figure 1 , this example is based on the above example. In step S4, the power supply and industrial design include the following steps:

[0142] Step S41: Battery life solution, using a 5000mAh fast-charging battery with low-power design;

[0143] Step S42: Human-computer interaction design, using an LED status indicator, green representing normal power; yellow representing low power; red representing an emergency power state; using an IP54 protection level shell, with a waterproof membrane for the built-in microphone, adopting a design without sharp corners, and using food-grade silicone material, meeting the safety standards for children's products.

[0144] Example 6, refer to Figure 1 , this example is based on the above example. In step S5, the system integration and compliance certification include the following steps:

[0145] Step S51: Full-function joint debugging and stress testing, which requires simulating 1000 times of on-off durability and conducting network adaptability testing;

[0146] Step S52: The Markov chain of on-off, and the formula is as follows:

[0147] ;

[0148] In the formula, represents the cumulative failure probability after 1000 cycles, represents the probability of single on-off failure;

[0149] Step S53: Conduct legal compliance preparations, obtain SRRC radio certification, pass the GDPR data protection assessment, and apply for child smart hardware safety certification;

[0150] Step S54: Calculate the radio frequency compliance range, and the formula used is as follows:

[0151] ;

[0152] In the formula, represents the radio frequency power absorbed per gram of tissue, and f represents the working power;

[0153] Step S55: Optimize the voice prompt system, support multiple languages, be able to adjust the prompt volume, and calculate the volume attenuation curve. The formula used is as follows:

[0154] ;

[0155] In the formula, represents the actual sound pressure level at a distance d, represents the initial sound pressure level at the reference distance , d represents the distance between the measurement point and the sound source, represents the air absorption coefficient.

[0156] Example 7, refer to Figure 2 , based on the above example, an insurance intelligent recommendation system based on user portraits provided by the present invention includes a hardware module integration and testing module, a core function logic development module, a cloud system architecture building module, a power supply and industrial design module, and a system integration and compliance certification module;

[0157] The hardware module integration and testing module conducts sensor adaptation and hardware linkage testing;

[0158] The core function logic development module sets up a privacy protection mechanism, develops a hardware-level switch circuit, uses a magnetic latching relay to achieve physical disconnection, adopts a dual authentication process, sets up a one-way communication system, and performs dynamic sound pressure adjustment based on ambient noise;

[0159] The cloud system architecture building module develops an end-to-end encryption channel using a dual encryption method and applies dynamic sharding storage technology, establishes an encrypted channel, uses key exchange and video shard hash verification, defines a device state vector, and uses a 3D convolutional neural network to identify violent behavior;

[0160] The power supply and industrial design module solves the battery life problem and conducts human-computer interaction;

[0161] The system integration and compliance certification module conducts full-function joint debugging and stress testing, gives the cumulative failure probability calculated by the on-off Markov chain, calculates the radio frequency compliance range, and optimizes the voice prompt system.

[0162] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0163] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

[0164] The above describes the present invention and its implementation manners. Such description is not restrictive. What is shown in the drawings is only one of the implementation manners of the present invention, and the actual structure is not limited thereto. Generally speaking, if those of ordinary skill in the art are inspired by it and design similar structural manners and embodiments without creative efforts without departing from the purpose of the present invention, they shall fall within the protection scope of the present invention.

Claims

1. An active prevention measure and system based on individual emergency protection, characterized in that: The method comprises the following steps: Step S1: hardware module integration and testing; Step S2: Develop core functional logic, set up privacy protection mechanism, develop hardware-level switch circuit, use magnetic latching relay to achieve physical disconnection, use double authentication process, set up one-way communication system, and perform dynamic sound pressure adjustment based on ambient noise; Step S3: Cloud system architecture is built, end-to-end encrypted channels are developed using dual encryption and dynamic sharding storage technology, encrypted channels are established, key exchange and video sharding hash verification are used, device state vectors are defined, and 3D convolutional neural networks are used to identify violent behavior; Step S4: power supply and industrial design; Step S5: System integration and compliance certification.

2. The active prevention measures and system based on individual emergency protection according to claim 1, characterized in that: In step S2, the core function logic development includes the following steps: Step S21: Privacy protection mechanism, develop a hardware-level switch circuit to ensure that the camera and MIC power are completely disconnected when not started, and implement a double verification mechanism, which requires a physical switch and cloud guardian to confirm twice; Hardware-level isolation design, using magnetic latching relays to achieve physical disconnection; Step S22: Double authentication process; Step S23: One-way communication system, SIM module dedicated communication channel development, limiting the ability to answer calls only from the guardian; intelligent adjustment of sound pressure level, the speaker automatically adjusts the volume according to ambient noise; Step S24: Dynamic sound pressure adjustment, based on PID control of ambient noise.

3. An active prevention measure and system based on individual emergency protection according to claim 1, characterized in that: In step S3, the cloud system architecture is constructed, including the following steps: Step S31: secure transmission system, developing an end-to-end encrypted channel; Step S32: Encrypted channel is established, ECDHE key exchange is adopted, and hash verification of video segments is performed; Step S33: Multi-terminal collaboration, guardian app development, real-time viewing interface needs to display positioning accuracy radius, remaining battery time and remaining storage capacity; cloud AI analysis module is used for abnormal voiceprint recognition and violent behavior image recognition; Step S34: state quantity transmission protocol, defining the device state vector; Step S35: Intelligent recognition model, violent behavior recognition uses 3D convolutional neural network.

4. The active prevention measures and system based on individual emergency protection according to claim 1, characterized in that: In step S5, the system integration and compliance certification includes the following steps: Step S51: Full function joint debugging and stress testing, which requires simulating 1000 power on / off durability and conducting network adaptability testing; Step S52: power on / off Markov chain; Step S53: Make legal compliance preparations, obtain SRRC radio certification, pass GDPR data protection assessment, and apply for children's smart hardware safety certification; Step S54: Calculate the radio frequency compliance range; Step S55: The voice prompt system is optimized to provide multi-language support, adjustable prompt volume, and calculate the volume attenuation curve.

5. The active prevention measure and system based on individual emergency protection according to claim 1, characterized in that: In step S1, the hardware module integration and testing includes the following steps: Step S11: Select and adapt the sensor equipment, match the camera by age group, use wide-angle camera for teenagers, 45-degree wide-angle camera for children, and ultra-wide-angle camera for infants; use high signal-to-noise ratio microphone array to support noise reduction and directional sound pickup; use dual-mode positioning module, with positioning accuracy less than 2 meters; Step S12: Hardware linkage test, camera and memory throughput test. In an emergency, the automatic wake-up response time of the microphone and camera needs to be less than 0.5 seconds. The physical switch anti-mistouch design requires that the interval between two consecutive presses is less than 800ms.

6. The active prevention measures and system based on individual emergency protection according to claim 1 are characterized in that: In step S4, the power supply and industrial design include the following steps: Step S41: Battery life solution, using 5000mAh fast-charging battery and low power consumption design; Step S42: Human-computer interaction design, using LED status indicator light, green for normal power; yellow for low power; red for emergency power; using IP54 protection grade housing, built-in microphone waterproof membrane, no sharp corner design, food grade silicone material, in line with children's product safety standards.

7. An insurance intelligent recommendation system based on user portraits, which is used to implement an active prevention measure and system based on individual emergency protection as described in any one of claims 1-6, and is characterized in that: It includes hardware module integration and testing module, core function logic development module, cloud system architecture building module, power supply and industrial design module and system integration and compliance certification module.

8. An insurance intelligent recommendation system based on user portraits according to claim 7, characterized in that: The hardware module integration and testing module performs sensor adaptation and hardware linkage testing; The core function logic development module sets up a privacy protection mechanism, develops a hardware-level switch circuit, uses a magnetic latching relay to achieve physical disconnection, adopts a dual authentication process, sets up a one-way communication system, and performs dynamic sound pressure adjustment based on ambient noise; The cloud system architecture builds modules, develops end-to-end encrypted channels using dual encryption and dynamic sharding storage technology, establishes encrypted channels, uses key exchange and video sharding hash verification, defines device state vectors, and uses 3D convolutional neural networks to identify violent behavior; The power supply and industrial design module solves the battery life problem and performs human-computer interaction; The system integration and compliance certification module performs full-function joint debugging and stress testing, provides a Markov chain for power on / off calculation of cumulative failure probability, calculates the radio frequency compliance range, and optimizes the voice prompt system.

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