Intelligent traffic embedded passive sound wave induction positioning rescue system and method

Abstract

The invention relates to the technical field of intelligent traffic infrastructure embedded passive sound wave induction positioning rescue, in particular to an intelligent traffic embedded passive sound wave induction positioning rescue system and method, and the system comprises a satellite communication module, a self-powered module, an environment adaptation module, a two-dimensional code enhancement module and a bioelectricity induction module. The satellite communication module is used for Beidou short message communication and satellite signal relay; the self-powered module is used for flexible photovoltaic charging and piezoelectric-thermoelectric hybrid energy storage. Through a two-dimensional code reconstruction technology, complete information can still be restored even if 30% of the two-dimensional code is stained and damaged, dynamic microprism reflection angle calculation is supported, 18kHz ultrasonic waves are matched with a rear vehicle sound, high-penetrating-power waveforms are automatically switched in a satellite signal weak environment, the high-penetrating-power waveforms are switched to an invisible light wave band under strong light, and a nano hydrophobic coating maintains the two-dimensional code recognition rate gt in rainstorm; and after alarming, the early warning device is started in a linkage manner within 200 meters, so that secondary accidents are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of positioning systems, and in particular to an intelligent transportation embedded passive acoustic wave induction positioning and rescue system and method. Background Art

[0002] Due to the high speeds and heavy traffic on highways, common accidents include rear-end collisions (due to failure to maintain a safe distance), minor collisions (often caused by improper lane changes), rollovers (often caused by speeding, tire blowouts, or driving errors), collisions with guardrails (often caused by fatigue or distraction), and multi-vehicle pileups (often occurring in inclement weather or emergencies). Furthermore, the failure to properly display warning signs on faulty vehicles can easily lead to secondary accidents.

[0003] Generally, traditional rescue efforts rely mainly on active calls, including emergency phone calls, car emergency buttons: some vehicles are equipped with a one-button rescue function, and mobile phone applications / navigation devices: using built-in functions to send distress signals and seek help from passing vehicles. However, no matter which method is used, the driver needs to clearly state the location. If the information is unclear due to tension or noisy environment, it is necessary to wait for rescue personnel to understand the information and plan the route. The urgency is not conveyed enough, and the mobile phone signal may be interrupted due to damage to the base station caused by the accident. At night or in bad weather, there are few passing vehicles and the alarm cannot be automatically triggered. If the driver is seriously injured and unconscious, he cannot call for help, and people may be hit by subsequent vehicles when getting out of the car to help.

[0004] In summary, it is necessary to propose an intelligent transportation embedded passive acoustic wave sensing positioning and rescue system and method to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent transportation embedded passive acoustic wave sensing positioning rescue system and method to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Intelligent transportation embedded passive acoustic wave sensing positioning and rescue system, including satellite communication module, self-powered module, environmental adaptation module, QR code enhancement module and bioelectric sensing module;

[0008] The satellite communication module is used for Beidou short message communication and satellite signal relay;

[0009] The self-powered module is used for flexible photovoltaic charging and piezoelectric-thermoelectric hybrid energy storage;

[0010] The environmental adaptation module is used to provide nano-hydrophobic coating and phase change temperature control;

[0011] The two-dimensional code enhancement module is used to provide dynamic microprism and fluorescence lifetime coding.

[0012] Preferably, the satellite communication module further includes a Beidou short message communication unit and a satellite signal relay unit;

[0013] The BeiDou short message communication unit integrates the BeiDou-3 satellite communication chip, supports the transmission of 140-word short messages in an environment without a ground network, optimizes signal transmission efficiency through the Polar coding algorithm, and ensures stable communication under weak signal conditions of -120dBm;

[0014] The satellite signal relay unit uses a high-gain spiral antenna design to automatically capture satellite signals and forward them to the ground base station. It has a built-in signal quality monitoring algorithm and automatically switches to a high-penetration waveform in heavy rain or snow.

[0015] Preferably, the self-powered module further comprises a flexible photovoltaic charging unit and a piezoelectric-thermoelectric hybrid energy storage unit;

[0016] The flexible photovoltaic charging unit embeds a flexible CIGS thin-film solar panel with a transmittance of more than 90% on the surface of the reflective film. Through the MPPT maximum power tracking algorithm, it can still maintain a charging efficiency of 20% on cloudy days.

[0017] The piezoelectric-thermoelectric hybrid energy storage unit uses the vibration of highway traffic to trigger the piezoelectric material to generate electricity, and the temperature difference between day and night drives the thermoelectric module. Through the dual-source energy management algorithm, vibration energy is used first, and it switches to thermoelectric mode in low-temperature environments.

[0018] Preferably, the environmental adaptation module further comprises a nano-hydrophobic coating unit and a phase change temperature control unit;

[0019] The nano-hydrophobic coating unit coats the surface of the QR code with fluorine-containing nanoparticles, with a contact angle of >150°. It uses a super-hydrophobic algorithm to simulate the rolling path of water droplets, ensuring a QR code recognition rate of >95% in heavy rain.

[0020] The phase change temperature control unit encapsulates paraffin-based phase change material in the reflective film interlayer, with an operating temperature range of -40°C to 80°C. Through the thermal enthalpy control algorithm, the reflective film tension is automatically adjusted under extreme temperatures to prevent curling and deformation.

[0021] Preferably, the two-dimensional code enhancement module further includes a dynamic microprism unit and a fluorescence lifetime encoding unit;

[0022] The dynamic micro-prism unit decomposes the QR code into a 5×5 micro-prism array. Each prism independently controls the reflection angle. Through the diffraction reconstruction algorithm, the complete information can be restored even if 30% of the area is damaged.

[0023] The fluorescence lifetime encoding unit uses long-afterglow fluorescent materials to maintain visibility for more than 2 hours in a dark environment. Through a time-gated algorithm, the position information is decoded through the fluorescence decay curve.

[0024] Preferably, it also includes a bioelectric sensing module;

[0025] The bioelectric sensing module integrates flexible electrodes in the guardrail handrail to capture human bioelectric signals. Through the electrocardiogram feature extraction algorithm, the alarm can be triggered by clenching a fist for 3 seconds.

[0026] Preferably, it also includes a quantum reflection module;

[0027] The quantum reflection module embeds a quantum dot layer in the reflective film, and the wavelength of the reflected light is intelligently adjusted with the ambient temperature. Through the photonic crystal algorithm, it automatically switches to the non-visible light band for reflection under strong light.

[0028] Preferably, it also includes a sonic positioning module;

[0029] The acoustic positioning module installs an acoustic wave generator at the bottom of the reflective sign to emit 18kHz ultrasonic pulses and realizes two-way positioning verification with the rear vehicle audio system through the voiceprint matching algorithm.

[0030] Preferably, it also includes a blockchain storage module;

[0031] The blockchain storage module writes alarm records into distributed blockchain nodes and uses the PBFT consensus algorithm to ensure that the data cannot be tampered with even when 50% of the nodes are damaged.

[0032] Based on the above system, the present invention also proposes an intelligent transportation embedded passive acoustic wave sensing positioning and rescue method, which includes the following steps:

[0033] S1. The user touches the reflective sign and confirms the alarm trigger through bioelectric signals;

[0034] S2. Scan the defaced QR code and reconstruct the complete data using the residual information from the microprism reflection angle;

[0035] S3. Automatically switches to near-infrared reflection in strong light conditions to ensure information readability;

[0036] S4. Dynamically select satellite or acoustic communication based on channel quality, prioritizing satellite links;

[0037] S5. Dynamically allocate the ratio of piezoelectric and thermoelectric energy supply according to the energy storage level to ensure power stability;

[0038] S6. Alarm records are stored in the blockchain using the PBFT consensus algorithm to ensure that the data cannot be tampered with;

[0039] S7. Emit ultrasonic pulses and match the vehicle's sound pattern to achieve secondary position verification;

[0040] S8. Integrate temperature, humidity, light, and vibration data to dynamically adjust reflective film tension and communication strategies;

[0041] S9. Based on the alarm coordinates and rescue vehicle distribution, the Hungarian algorithm is used to optimize the scheduling plan.

[0042] Compared with the prior art, the present invention has the following advantages: the present invention can restore complete information even if 30% of the information is contaminated through QR code reconstruction technology, supports dynamic microprism reflection angle calculation, 18kHz ultrasonic wave matches the audio of the rear vehicle, automatically switches to high-penetration waveform in weak satellite signal environment, switches to non-visible light band under strong light, the nano-hydrophobic coating maintains a QR code recognition rate of >95% in heavy rain, automatically adjusts the tension of the reflective film at -40℃ to 80℃ to prevent curling and deformation, maintains 20% charging efficiency on cloudy days, gives priority to power supply due to traffic vibration, switches to thermoelectric mode at low temperature, triggers an alarm by clenching a fist for 3 seconds, no active operation is required, the alarm record cannot be tampered with, the node is still safe even if 50% is damaged, and the early warning device within 200 meters after the alarm is alarmed is linked and activated to reduce secondary accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 The topology diagram of the intelligent transportation embedded passive acoustic wave sensing positioning and rescue system of the present invention is shown;

[0044] Figure 2 The flowchart of the intelligent transportation embedded passive acoustic wave sensing positioning and rescue method of the present invention is shown. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0046] Example 1, please refer to Figure 1 , the present invention proposes an intelligent transportation embedded passive acoustic wave sensing positioning and rescue system, including a satellite communication module, a self-powered module, an environmental adaptation module, a QR code enhancement module and a bioelectric sensing module;

[0047] The satellite communication module is used for Beidou short message communication and satellite signal relay. The self-powered module is used for flexible photovoltaic charging and piezoelectric-thermoelectric hybrid energy storage. The environmental adaptation module is used to provide nano-hydrophobic coating and phase change temperature control. The QR code enhancement module is used to provide dynamic microprisms and fluorescence lifetime coding.

[0048] In this embodiment, it should also be noted that the satellite communication module also includes a Beidou short message communication unit and a satellite signal relay unit;

[0049] Furthermore, the BeiDou short message communication unit integrates the BeiDou-3 satellite communication chip, supports the transmission of 140-word short messages in environments without ground networks, optimizes signal transmission efficiency through the Polar coding algorithm, and ensures stable communication even in weak signal conditions of -120dBm.

[0050] Furthermore, the satellite signal relay unit uses a high-gain helical antenna design to automatically capture satellite signals and forward them to the ground base station. It also has a built-in signal quality monitoring algorithm that automatically switches to a high-penetration waveform in heavy rain or snow.

[0051] In this embodiment, it should also be noted that the self-powered module also includes a flexible photovoltaic charging unit and a piezoelectric-thermoelectric hybrid energy storage unit;

[0052] Furthermore, the flexible photovoltaic charging unit embeds a flexible CIGS thin-film solar panel with a transmittance of >90% on the surface of the reflective film. Through the MPPT maximum power tracking algorithm, it can still maintain a 20% charging efficiency on cloudy days.

[0053] Furthermore, the piezoelectric-thermoelectric hybrid energy storage unit uses the vibration of highway traffic to trigger the piezoelectric material to generate electricity, and the temperature difference between day and night drives the thermoelectric module. Through a dual-source energy management algorithm, the vibration energy is used first, and the thermoelectric mode is switched to in low-temperature conditions.

[0054] In this embodiment, it should also be noted that the environmental adaptation module also includes a nano-hydrophobic coating unit and a phase change temperature control unit;

[0055] Furthermore, the nano-hydrophobic coating unit coats the QR code surface with fluorine-containing nanoparticles, with a contact angle of >150°. Using a super-hydrophobic algorithm, it simulates the path of water droplets rolling down, ensuring a QR code recognition rate of >95% in heavy rain.

[0056] Furthermore, the phase change temperature control unit encapsulates paraffin-based phase change materials in the reflective film interlayer, with an operating temperature range of -40°C to 80°C. Through the thermal enthalpy control algorithm, the reflective film tension is automatically adjusted under extreme temperatures to prevent curling and deformation.

[0057] In this embodiment, it should also be noted that the QR code enhancement module further includes a dynamic microprism unit and a fluorescence lifetime encoding unit;

[0058] Furthermore, the dynamic micro-prism unit decomposes the QR code into a 5×5 micro-prism array. Each prism independently controls the reflection angle. Through the diffraction reconstruction algorithm, the complete information can be restored even if 30% of the area is damaged.

[0059] Furthermore, the fluorescence lifetime encoding unit uses long-lasting fluorescent materials to maintain visibility for >2 hours in a dark environment, and decodes position information through the fluorescence decay curve through a time-gating algorithm;

[0060] In this embodiment, it should also be noted that the system also includes a bioelectric sensing module;

[0061] Furthermore, the bioelectric sensing module integrates flexible electrodes in the guardrail handrail to capture the human body's bioelectric signals. Through the ECG feature extraction algorithm, an alarm can be triggered by clenching a fist for 3 seconds.

[0062] In this embodiment, it should also be noted that the system also includes a quantum reflection module;

[0063] Furthermore, the quantum reflection module embeds a quantum dot layer in the reflective film. The wavelength of the reflected light is intelligently adjusted according to the ambient temperature. Through the photonic crystal algorithm, it automatically switches to the non-visible light band for reflection under strong light.

[0064] In this embodiment, it should also be noted that the system also includes a sonic positioning module;

[0065] Furthermore, the acoustic positioning module installs an acoustic wave generator at the bottom of the reflective sign, which emits 18kHz ultrasonic pulses and realizes two-way positioning verification with the rear vehicle audio system through the voiceprint matching algorithm;

[0066] In this embodiment, it should also be noted that the system also includes a blockchain storage module;

[0067] Furthermore, the blockchain storage module writes alarm records to distributed blockchain nodes and uses the PBFT consensus algorithm to ensure that data cannot be tampered with even if 50% of the nodes are damaged;

[0068] Example 2, please refer to Figure 2 In practical applications, based on the above system, the present invention also proposes an intelligent transportation embedded passive acoustic wave sensing positioning and rescue method, which specifically includes the following steps:

[0069] S1. Reflective sign positioning trigger: The user finds a circular reflective sign on the guardrail (interval ≤ 24m) and touches the sensing area for 3 seconds to activate the system and extract bioelectrical features:

[0070] The human body's bioelectrical signals are collected through a flexible electrode array, and the time domain energy threshold method is used to detect effective triggers:

[0071] E threshold =μ noise +3σ noise

[0072] where μ noise is the mean value of environmental noise, σ noise is the standard deviation, when the signal energy E signal >E threshold When the alarm is triggered;

[0073] S2. Dynamic reconstruction of QR codes: Scan the damaged QR code, and the system automatically completes the information and reconstructs the diffraction:

[0074] Decompose the QR code into a 5×5 microprism array, with a reflection angle of θ for each prism. i satisfy:

[0075]

[0076] Where λ is the wavelength of incident light, n i is the prism refractive index, d is the prism spacing, and the residual reflection angle set {θ i}, reconstruct the original QR code data matrix;

[0077] S3. Quantum reflection wavelength adaptation: automatic switching of reflection bands in strong light environments, photonic crystal bandgap regulation:

[0078] According to the ambient light intensity I env Adjust the band gap width E of the quantum dot layer g :

[0079]

[0080] Where T is the temperature (measured by the built-in thermistor), α=0.48eV / K, β=636K. env >10 5 lux, switches to 1.4μm near-infrared reflection;

[0081] S4. Multi-mode communication protocol switching: The system automatically selects the optimal communication path and channel quality assessment:

[0082] Comprehensive signal-to-noise ratio SNR, bit error rate BER and delay t d , build the decision function:

[0083]

[0084] Where w1=0.5, w2=0.3, w3=0.2. satellite >C acoustic When using satellite communication, satellite communication is preferred;

[0085] S5. Self-powered energy management: Dual-source energy storage units intelligently distribute power, dynamic power allocation:

[0086] According to the real-time power consumption P real And the energy storage level SOC, adjust the energy supply ratio:

[0087]

[0088] where η piezo is the piezoelectric energy ratio, P piezo，maxis the maximum piezoelectric output power;

[0089] S6. Blockchain Data Storage: Distributed Storage of Alarm Records, PBFT Consensus:

[0090] In a 3f+1 node system (f is the number of failed nodes), consensus is reached through three rounds of voting:

[0091] 1. The master node broadcasts the transaction request;

[0092] 2. The node verifies and broadcasts the preparation message;

[0093] 3. Submit the transaction after collecting 2f+1 confirmations to ensure that it cannot be modified even if 50% of the nodes are damaged;

[0094] S7. Acoustic positioning verification: emit 18kHz ultrasonic pulses to calibrate the position and voiceprint matching:

[0095] Extract the Mel-Frequency Cepstral Coefficients (MFCC) of the sound wave signal and calculate the Euclidean distance with the pre-stored template:

[0096]

[0097] When D MFCC <τ (interval value τ=0.3), confirm the vehicle position;

[0098] S8. Environmental perception and self-adaptation: The system automatically adjusts the working mode and multi-sensor fusion:

[0099] Fuse the temperature and humidity sensor, light sensor, and accelerometer data to construct the environment state vector:

[0100] S env =[T,H,I,a x ,a y ,a z ]

[0101] Use Kalman filtering to predict the next state and dynamically adjust the reflective film tension and communication frequency;

[0102] S9. Rescue linkage response: The system automatically allocates rescue resources and optimizes resource scheduling:

[0103] Based on the coordinates of the alarm point (x0, y0) and the rescue vehicle position {(x i ,y i )}, construct the shortest path matrix D, and use Hungarian solution to find the optimal matching:

[0104]

[0105] where a ij ∈{0,1} is a distribution variable that satisfies and

[0106] Through the above steps, the present invention can restore complete information even if it is 30% contaminated through QR code reconstruction technology, supports dynamic microprism reflection angle calculation, 18kHz ultrasonic wave matching with the rear vehicle audio, automatically switches to high-penetration waveform in weak satellite signal environment, switches to non-visible light band under strong light, and the nano-hydrophobic coating maintains a QR code recognition rate of >95% in heavy rain. It automatically adjusts the tension of the reflective film at -40℃ to 80℃ to prevent curling and deformation, maintains 20% charging efficiency on cloudy days, gives priority to power supply due to traffic vibration, switches to thermoelectric mode at low temperatures, triggers an alarm by clenching a fist for 3 seconds without active operation, and the alarm record cannot be tampered with. The node is still safe even if it is 50% damaged. After the alarm, the early warning device within 200 meters is linked and activated to reduce secondary accidents.

[0107] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent transportation embedded passive acoustic wave sensing positioning and rescue system, characterized by: It includes satellite communication module, self-powered module, environmental adaptation module, QR code enhancement module and bioelectric sensing module; The satellite communication module is used for Beidou short message communication and satellite signal relay; The self-powered module is used for flexible photovoltaic charging and piezoelectric-thermoelectric hybrid energy storage; The environmental adaptation module is used to provide nano-hydrophobic coating and phase change temperature control; The two-dimensional code enhancement module is used to provide dynamic microprism and fluorescence lifetime coding.

2. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 1 is characterized by: The satellite communication module also includes a Beidou short message communication unit and a satellite signal relay unit; Beidou short message unit, which integrates the Beidou-3 chip and uses the Polar coding algorithm to achieve 140-word short message transmission under a weak signal of -120dBm; The acoustic positioning unit emits 18kHz ultrasonic pulses to match the vehicle's sound system voiceprint. Bidirectional verification is completed when the Euclidean distance: DMFCC < 0.3; The satellite signal relay unit automatically captures satellite signals and forwards them to the ground base station through a high-gain spiral antenna design. It has a built-in signal quality monitoring algorithm and automatically switches to the L-band high-penetration waveform in heavy rain weather.

3. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 2 is characterized by: The self-powered module also includes a flexible photovoltaic charging unit and a piezoelectric-thermoelectric hybrid energy storage unit; The flexible photovoltaic charging unit embeds a flexible CIGS thin-film solar panel with a transmittance of more than 90% on the surface of the reflective film. Through the MPPT maximum power tracking algorithm, it can still maintain a charging efficiency of 20% on cloudy days. The piezoelectric-thermoelectric hybrid energy storage unit uses the vibration of highway traffic to trigger the piezoelectric material to generate electricity, and the temperature difference between day and night drives the thermoelectric module. Through the dual-source energy management algorithm, the vibration energy is used first, and the thermoelectric mode is switched to low-temperature conditions. Also includes: A flexible electrode array uses a graphene-silver nanowire composite electrode with a stretchability of ≥200%. The flexible electrode array is integrated into a guardrail handrail to capture human bioelectrical signals with a contact impedance of ≤10kΩ.

4. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 3 is characterized by: The environmental adaptation module also includes a nano-hydrophobic coating unit and a phase change temperature control unit; The nano-hydrophobic coating unit coats the surface of the QR code with fluorine-containing nanoparticles, with a contact angle of >150°. It uses a super-hydrophobic algorithm to simulate the rolling path of water droplets, ensuring a QR code recognition rate of >95% in heavy rain. The phase change temperature control unit encapsulates paraffin-based phase change material in the reflective film interlayer, with an operating temperature range of -40°C to 80°C. Through the thermal enthalpy control algorithm, the reflective film tension is automatically adjusted under extreme temperatures to prevent curling and deformation.

5. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 4 is characterized by: The two-dimensional code enhancement module also includes a dynamic microprism unit and a fluorescence lifetime encoding unit; The dynamic micro-prism unit decomposes the QR code into a 5×5 micro-prism array. Each prism independently controls the reflection angle. Through the diffraction reconstruction algorithm, even if 30% of the area is damaged, the complete information can still be restored. The dynamic micro-prism unit also includes: A microprism array decomposes the QR code into 5×5 independently controlled microprism units, and the reflection angle θi of each prism satisfies: θi=arcsin(2πnidλ); Where λ is the wavelength of incident light, ni is the refractive index of the prism, and d is the prism spacing; A diffraction reconstruction algorithm, which restores the original QR code data matrix by reversely calculating the set of residual reflection angles {θi}, supports complete information recovery even with 30% area defacement. Fluorescence lifetime encoding uses long-afterglow fluorescent materials, and a time-gated algorithm is used to decode position information from the fluorescence decay curve in a dark environment. The fluorescence lifetime encoding unit uses long-afterglow fluorescent materials to maintain visibility for more than 2 hours in a dark environment, and decodes position information through the fluorescence decay curve through a time-gating algorithm.

6. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 5 is characterized in that: Also includes a bioelectric sensing module; The electrocardiogram feature extraction unit is also included. The electrocardiogram feature extraction unit adopts a time domain energy threshold algorithm. When the signal energy satisfies: Esignal>μnoise+3σnoise; At this time, the alarm is triggered. Where μnoise is the mean value of the environmental noise and σnoise is the standard deviation. The emergency system is automatically activated after continuously detecting the bioelectric signal for 3 seconds to avoid accidental triggering.

7. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 6 is characterized in that: Also includes the Quantum Reflection module; The quantum reflection module embeds a quantum dot layer in the reflective film, and the wavelength of the reflected light is intelligently adjusted with the ambient temperature. Through the photonic crystal algorithm, it automatically switches to the non-visible light band for reflection under strong light.

8. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 7 is characterized in that: Also includes a sonar module; The acoustic positioning module installs an acoustic wave generator at the bottom of the reflective sign to emit 18kHz ultrasonic pulses and realizes two-way positioning verification with the rear vehicle audio system through the voiceprint matching algorithm.

9. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue system according to claim 8, characterized in that: It also includes a blockchain storage module; The blockchain storage module writes alarm records into distributed blockchain nodes and uses the PBFT consensus algorithm to ensure that the data cannot be tampered with even when 50% of the nodes are damaged.

10. The intelligent transportation embedded passive acoustic wave sensing positioning and rescue method according to claims 1-9, characterized in that: The following steps are involved: S1. The user touches the reflective sign and confirms the alarm trigger through bioelectric signals; S2. Scan the defaced QR code and reconstruct the complete data using the residual information from the microprism reflection angle; S3. Automatically switches to near-infrared reflection in strong light conditions to ensure information readability; S4. Dynamically select satellite or acoustic communication based on channel quality, prioritizing satellite links; S5. Dynamically allocate the ratio of piezoelectric and thermoelectric energy supply according to the energy storage level to ensure power stability; S6. Alarm records are stored in the blockchain using the PBFT consensus algorithm to ensure that the data cannot be tampered with; S7. Emit ultrasonic pulses and match the vehicle's sound pattern to achieve secondary position verification; S8. Integrate temperature, humidity, light, and vibration data to dynamically adjust reflective film tension and communication strategies; S9. Based on the alarm coordinates and rescue vehicle distribution, the Hungarian algorithm is used to optimize the scheduling plan.

Images