Intelligent logistics vehicle monitoring platform

Abstract

The invention provides an intelligent logistics vehicle monitoring platform, and relates to the technical field of logistics transportation monitoring. The system comprises a gradient piezoelectric composite frame, a mechanical impedance matching network, a physical logic decision, intelligent management and a self-destruction protection mechanism, and the gradient piezoelectric frame converts mechanical stress into electric signals and realizes self-sustaining power supply through a gradient composite structure of a titanium alloy honeycomb framework and tree-shaped piezoelectric ceramics; the mechanical impedance network filters and purifies signals by using an acoustic impedance gradual change channel, and realizes high-frequency and low-frequency signal separation through a material density gradient; the physical logic decision module adopts a nickel-titanium alloy spiral waveguide to construct a time window, and triggers hardware-level logic operation to output a control instruction; the intelligent management module dynamically adjusts the rigidity of the magneto-rheological damper according to the logic result, and optimizes the driving path and the vehicle speed; the self-destructive protection mechanism realizes safety protection through liquid metal fusing and frequency spectrum authentication.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics transportation monitoring, and specifically to an intelligent logistics vehicle monitoring platform. Background Art

[0002] With the rapid development of e-commerce and global trade, the logistics transportation industry faces the dual challenges of efficiency improvement and cost optimization; intelligent vehicle monitoring technology, as the core means to ensure transportation safety and optimize fleet management, has become the key support for the modern logistics system; vehicles need to achieve high-precision state perception under complex road conditions, variable loads, and extreme environments, which poses higher requirements for the real-time performance, reliability, and environmental adaptability of the monitoring system.

[0003] The current mainstream solutions are based on external sensors and a centralized processing architecture; data is collected by installing accelerometers, GPS modules, and temperature sensors on the vehicle body and transmitted to the in-vehicle central processor via the CAN bus or wireless network; machine learning algorithms are used to analyze vibration spectra, positioning deviations, and temperature rise data to identify faults; such systems rely on standardized communication protocols and external power supplies and are prone to signal attenuation, increased false alarm rates, and equipment failures in strong electromagnetic interference, high humidity, or dusty environments.

[0004] The deficiencies of the prior art lie in three aspects: First, the discrete sensor layout results in signal acquisition blind spots and phase distortion, making it difficult to accurately reflect the overall stress distribution of the vehicle. Second, the serial operation mode of the centralized processing architecture causes decision-making delays and cannot meet the real-time response requirements under emergency conditions. Third, the node design relying on external power supplies limits the flexibility of system deployment, and traditional battery-powered solutions have problems of insufficient battery life and replacement and maintenance difficulties. In addition, the pure software protection mechanism is vulnerable to cyber-attack threats, and the physical protection device lacks active defense capabilities, resulting in potential safety hazards in the overall system. Summary of the Invention

[0005] Technical Problems to be Solved

[0006] Aiming at the deficiencies of the prior art, the present invention provides an intelligent logistics vehicle monitoring platform to solve the problems of signal acquisition blind spots and phase distortion caused by the discrete sensor layout, decision-making delays caused by the centralized processing architecture, limited flexibility of system deployment and insufficient battery life caused by relying on external power supplies, as well as the vulnerability of the pure software protection mechanism to cyber-attack threats and the passivity and lag of the physical protection device as mentioned in the above background art.

[0007] Technical Solutions

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: An intelligent logistics vehicle monitoring platform, comprising a gradient piezoelectric composite frame module, a mechanical impedance matching network module, a physical logic decision module, an intelligent management module, and a self-destruction protection mechanism;

[0009] The gradient piezoelectric composite frame module converts the mechanical stress of the vehicle into an electrical signal through the gradient composite structure of the titanium alloy honeycomb skeleton and piezoelectric ceramics. The titanium alloy honeycomb skeleton is constructed layer by layer through the femtosecond laser selective melting process. The piezoelectric ceramics are embedded in the high-stress areas of the skeleton in a dendritic branch form and are directionally polarized. The electrical energy generated by the piezoelectric ceramics is stored in a super capacitor to achieve self-sustaining power supply;

[0010] The mechanical impedance matching network module filters and purifies the electrical signal through an acoustic impedance gradient channel. The acoustic impedance gradient channel realizes an impedance gradient by continuously changing the material density. High-frequency signals are transmitted directionally along the high-impedance channel, and low-frequency noise is absorbed by the low-impedance area;

[0011] The physical logic decision module constructs a time window through the path length difference of the nickel-titanium alloy spiral waveguide, triggers hardware-level logical operations, and outputs control instructions. The logical output instructions are transmitted to the intelligent management module through optical fibers;

[0012] The intelligent management module dynamically adjusts the stiffness of the vehicle's magnetorheological damper, optimizes the driving route and speed based on the logical operation results;

[0013] The self-destruction protection mechanism ensures the system security through liquid metal fusing and physical spectrum authentication;

[0014] The output signal of the gradient piezoelectric composite frame module is input into the mechanical impedance matching network module for filtering. The filtered signal is input into the physical logic decision module to execute logical judgment. The logical judgment result triggers the intelligent management module to execute dynamic regulation. The self-destruction protection mechanism monitors illegal disassembly behaviors in real time and triggers fusing.

[0015] Preferably, the gradient piezoelectric composite frame module realizes mechanical stress sensing and energy recovery functions through the gradient composite structure of a titanium alloy honeycomb skeleton and piezoelectric ceramics; the titanium alloy honeycomb skeleton is manufactured layer by layer using the selective laser melting process with a femtosecond laser, the laser wavelength is 515 nanometers, the pulse energy is 1.7 millijoules, the scanning path is stacked layer by layer according to the hexagonal honeycomb cell contour, the layer thickness is 30 micrometers, and after each layer is scanned, the slag is removed by argon purging, and the argon gas flow rate is 15 liters per minute; the piezoelectric ceramics use PZT-5H material and are embedded in the high-stress area of the honeycomb cell through the electric field-assisted deposition process. During the deposition process, the substrate temperature is maintained at 800 °C, the polarization electric field strength is 20 kV / mm, the direction is perpendicular to the main load-bearing surface of the honeycomb cell, and the polarization time is 30 minutes to ensure that the piezoelectric ceramic domains are oriented along the main stress direction; the end of the piezoelectric ceramic dendritic branch is connected to the inlet end of the mechanical impedance matching network module by laser welding. The welding interface is precisely polished with a diamond grinding wheel, the surface roughness Ra ≤ 0.8 micrometers, and the welding energy density is 150 joules per square millimeter. The overall tensile strength of the frame is 450 MPa, and the volume ratio of the piezoelectric ceramics increases from 12% to 18% according to the stress distribution gradient to achieve a linear conversion of stress-electric signals, and the sensitivity is 1.2 mV / με; a 5-micrometer-thick titanium nitride wear-resistant layer is coated on the frame surface, and the hardness is HV2200; the output signal of the frame is directly input into the mechanical impedance matching network module.

[0016] Preferably, the mechanical impedance matching network module realizes the directional transmission of high-frequency signals and the absorption of low-frequency noise through an acoustic impedance gradient channel; the channel is composed of alternating stacks of titanium alloy layers and piezoelectric ceramic layers. The thickness of the titanium alloy layer is 0.5 mm, the thickness of the piezoelectric ceramic layer is 0.2 mm, and the total number of layers is 50. The interlayer spacing decreases according to an exponential law, forming an impedance gradient from 1×10 6 Rayleigh at the inlet end to 1×10 8 Rayleigh at the outlet end; the curvature radius of the high-frequency signal transmission path is 20 mm, and the waveguide geometry is optimized by finite element simulation to ensure that the signal reflection loss is less than 3%; the piezoelectric coating in the low-frequency noise absorption area is uniformly deposited on the inner wall of the channel by magnetron sputtering. The sputtering power is 200 W, the argon pressure is 0.5 Pa, the coating thickness is 50 micrometers 2 micrometers, and the surface roughness Ra of the coating ≤ 1.6 micrometers; the noise energy absorbed by the piezoelectric coating is dissipated through aluminum heat dissipation fins, the fin spacing is 2 mm, and the heat dissipation power is 5 W per square centimeter.

[0017] Preferably, the physical logic decision module constructs hardware-level time-domain logic through the path length difference of a nickel-titanium alloy helical waveguide; the nickel-titanium alloy helical waveguide is formed by precision wire cutting, with a diameter of 0.8 mm, 5 turns of helix, and the path length difference is designed according to the prime number sequence of 17 mm, 23 mm, and 29 mm, and the time difference accuracy is ±10 ns; the nickel-titanium alloy helical waveguide is annealed at 800 °C in a vacuum annealing furnace for 1 hour, followed by shape memory training with 100 training times and a phase change temperature of 40 °C; the AND gate logic trigger condition is that the time difference between two input signals is less than 50 ns and the energy superposition value exceeds 5 μJ. After triggering, a pulse signal with an amplitude of 3.3 V is generated at the output end, and the rise time is 5 ns; the NOR gate logic activates the bypass output when the main signal delay exceeds 200 ns, the output impedance matching is 50 Ω, and the return loss ≤ -20 dB; the end of the nickel-titanium alloy helical waveguide is connected to a Galfenol actuator, the driving current is 0.5 A, the actuator displacement is 15 μm, the response time is 200 μs, and a light pulse signal is generated after the displacement triggers a mechanical switch; the light pulse signal is transmitted to the intelligent management module through a multimode fiber with a core diameter of 62.5 μm, and the fiber transmission delay is eliminated by a preset digital compensation algorithm of 0.3 ms / m.

[0018] Preferably, the intelligent management module realizes dynamic load balancing and path optimization by real-time collecting the frame stress data; the stress data sampling frequency is 1 kHz, a 16-bit analog-to-digital converter is used, the quantization error is less than 0.1%, and the sampling value is filtered by a Kalman filter to remove high-frequency noise; the load distribution calculation model obtains the real-time load value by integrating the frame surface stress field, and controls the stiffness of the magnetorheological damper according to the formula Adjust, where is the stiffness of the magnetorheological damper, is the real-time load, and is the maximum design load of the frame; the current control accuracy of the magnetorheological damper is ±0.1 A, and the response time is 50 ms; the path scoring model generates , where L is the section length, is the local stress exceeding 150% of the average stress, and is the path score. The higher the score, the better the road condition. The frame stress is detected at 100 m intervals, and the area where >1.5_avg is marked as ; accumulate all values within the section, divide by L to obtain the damage coefficient per unit length; amplify the damage effect through a power function to generate a score; combine with GPS data, and select the path with >80 to drive first; the vehicle speed optimization module dynamically adjusts the target vehicle speed according to the real-time energy consumption model. The energy consumption data is calculated by integrating the product of the frame strain energy and time. The control command is sent to the drive motor through the CANFD bus at a rate of 2 Mbit / s, and the vehicle speed control accuracy is ±0.5 km / h, and the response time is 300 ms.

[0019] Preferably, the energy closed-loop system achieves zero external energy supply operation through piezoelectric ceramic energy recovery and intelligent power consumption management; the alternating current output by the piezoelectric ceramic is converted into direct current through a full-bridge synchronous rectification circuit, the rectification efficiency is ≥95%, the switching frequency is 100 kHz, and the on-resistance is 10 mΩ; the impedance of the rectification circuit is dynamically matched with the piezoelectric output characteristics through the maximum power point tracking algorithm, the algorithm step size is 0.5 V, and the tracking accuracy is 1%; the rated capacitance of the supercapacitor is 10 F, the working voltage is 48 V, the equivalent series resistance is ≤5 mΩ, and the charge and discharge cycle life exceeds 100,000 times; the energy management unit monitors the system power consumption in real time. When the energy recovery rate η satisfies ηP_harvest≥1.2P_sys, the full-function mode is activated. Otherwise, the non-core modules are turned off and switched to the low-power mode with only the sensor powered; the supercapacitor is connected in parallel with the vehicle battery through a bidirectional DC-DC module, the DC-DC conversion efficiency is ≥92%, and the output voltage ripple is ≤50 mV; the energy management data is transmitted to the main control unit through the IIC bus, and the update rate is 10 Hz.

[0020] Preferably, the self-destruction protection mechanism ensures system security through liquid metal fusing and physical spectrum authentication; the key nodes of the vehicle frame are coated with a gallium indium tin liquid metal layer, the coating thickness is 50 nm, the sheet resistance is 0.1 Ω / square, the coating process is vacuum evaporation, and the deposition rate is 0.2 nm / s; the fusing trigger condition is that an impedance mutation exceeding 20% lasts for 10 ms is detected, a 5 V DC voltage is applied to the liquid metal layer, the fusing current is 3 A, the fusing time is 50 ms, and the insulation resistance after fusing is ≥100 MΩ; the physical authentication mechanism requires an external device to apply a vibration signal of 8 kHz ±2% for 1 s, and the vehicle frame response spectrum is analyzed by fast Fourier transform. When the characteristic frequency matching degree exceeds 90%, the maintenance interface is unlocked; the spectrum matching algorithm calculates the correlation coefficient , where is the vehicle frame response spectrum amplitude sequence; is the pre-stored standard spectrum amplitude sequence; is the correlation coefficient. The threshold is set to 0.9. When the threshold ρ≥0.9, the authentication is passed, and the fusing is triggered if the matching fails.

[0021] Preferably, the heat dissipation power of the piezoelectric coating is dynamically adjusted by a closed-loop temperature control system; PT100 platinum resistance temperature sensors are arranged on the inner wall of the channel at intervals of 10 cm, the measurement accuracy is ±0.1°C, and the temperature data adjusts the rotation speed of the cooling fan through a proportional-integral-derivative controller; the rotation speed range of the cooling fan is 2000 - 8000 rpm, and the air volume is calculated according to the formula Calculation, where is the difference between the current temperature and the set value of 25°C, and is the output power of the cooling fan; the surface of the heat dissipation fins is anodized, and the thickness of the oxide layer is 10 microns; the power consumption of the physical logic decision module is balanced with the heat dissipation power in real time. When the temperature exceeds 60°C, over-temperature protection is activated, and the logic operation frequency is gradually reduced until shutdown; the response time of the temperature control system is 50 milliseconds, the overshoot is less than 5%, and the steady-state error ≤ 0.5°C.

[0022] Preferably, the nickel-titanium alloy spiral waveguide path ensures long-term reliability through shot peening strengthening and fatigue life design; the shot peening treatment uses steel shot with a diameter of 0.3 mm, the spraying pressure is 0.6 MPa, the coverage rate is 200%, and a residual compressive stress layer of -400 MPa is generated on the surface; the fatigue life of the nickel-titanium alloy spiral waveguide is calculated by the Miner linear cumulative damage theory, and the designed stress amplitude is ±300 MPa, and the number of cycles exceeds 1×10 7 times; after the waveguide is installed, it is subjected to an accelerated life test through a three-axis vibration table. The vibration conditions are random vibration from 5 to 2000 Hz, the acceleration spectral density is 0.04 g 2 / Hz, lasting for 72 hours. After the test, the crack length on the waveguide surface is less than 0.1 mm; the surface of the nickel-titanium alloy spiral waveguide is coated with a molybdenum disulfide solid lubricating layer with a thickness of 2 microns.

[0023] Preferably, the dynamic adjustment of the vehicle speed is achieved by a feedforward-feedback composite algorithm to achieve high-precision adjustment; the feedforward term generates a reference vehicle speed based on the energy consumption model , where E is the real-time energy consumption value; the feedback term compensates for the error through a proportional-integral-derivative controller, with a proportional coefficient K_p = 0.8, an integral coefficient K_i = 0.05, and a derivative coefficient K_d = 0.1; the control command is output to the motor driver through pulse width modulation, with a carrier frequency of 10 kHz, a duty cycle resolution of 0.1%, and a dead time of 100 ns; the vehicle speed sensor uses a Hall effect encoder, with a measurement accuracy of ±0.1 km / h and a data update rate of 100 Hz; the control system verifies global asymptotic stability through Lyapunov stability analysis, and the Lyapunov function is is the difference between the set vehicle speed and the actual vehicle speed, and the derivative always holds; the vehicle speed control error band is ±0.5 km / h, and the step response adjustment time ≤ 1 s.

[0024] Beneficial Effects

[0025] The present invention provides an intelligent logistics vehicle monitoring platform. It has the following beneficial effects:

[0026] The present invention adopts a gradient piezoelectric composite frame. Through the collaborative design of a titanium alloy honeycomb skeleton and dendritic branch piezoelectric ceramics, the mechanical stress of the vehicle is efficiently converted into electrical energy. After the piezoelectric ceramics are directionally polarized, they are embedded in high-stress areas, combined with the acoustic gradient channels of the impedance matching network, to achieve the directional transmission of high-frequency signals and the absorption of low-frequency noise, improving the signal purity. The physical logic module triggers hardware-level decisions based on the path difference of a nickel-titanium alloy waveguide, generates control instructions in real time, dynamically adjusts the stiffness of the magnetorheological damper and driving parameters, and optimizes the load distribution and energy consumption efficiency. The system realizes self-sustained power supply through closed-loop energy management, significantly reduces the dependence on external energy, and at the same time ensures the stable operation of the vehicle under different loads.

[0027] The mechanical impedance network of this platform realizes physical filtering through density gradient channels, effectively separating high-frequency effective signals and interference noise, and providing high-precision input for the decision-making module. The logical decision constructs a time-domain operation based on the waveguide path difference, combined with high-speed optical fiber transmission, to optimize the path and vehicle speed strategy in real time, reducing the risk of frame stress damage. The self-destruction protection mechanism dynamically responds to illegal disassembly through the melting of liquid metal, supplemented by vibration spectrum authentication technology to verify the legality of the device. The heat dissipation system closed-loop regulates power consumption and temperature, and key components are processed by strengthening processes to ensure long-term reliability. This mechanism improves the anti-interference ability and security of the system under complex working conditions, ensuring double protection of data and hardware. Specific embodiments

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0029] Embodiment 1:

[0030] An embodiment of the present invention provides an intelligent logistics vehicle monitoring platform. In the cold-chain drug transportation scenario, when the intelligent logistics vehicle monitoring platform starts to work, the gradient piezoelectric composite frame module first senses the change in vehicle load. When a container loaded with 15 tons of drugs is placed on the frame, the hexagonal honeycomb units constructed layer by layer by the femtosecond laser selective melting process in the titanium alloy honeycomb skeleton begin to bear mechanical stress. The piezoelectric ceramics are embedded in the high-stress area of the skeleton in a dendritic branch form. During the electric field-assisted deposition process, the substrate temperature is maintained at 800 °C and a polarization electric field of 20 kV / mm is applied to align the crystal domains along the direction of the principal stress. At this time, the volume ratio of the piezoelectric ceramics gradually increases from 12% at the frame edge to 18% in the central area, generating an electric signal linearly related to the stress. The signal is transmitted to the mechanical impedance matching network module through the laser welding interface, and the welding energy density is 150 J / mm² to ensure the conductivity of the interface. The 50-layer alternating structure of titanium alloy and piezoelectric ceramics in the mechanical impedance matching network module forms an acoustic impedance gradient channel, with the impedance at the inlet end being 110 6 Rayleigh transitions to 110 at the outlet end through an exponentially decreasing layer spacing 8 Rayleigh; The high-frequency stress signal is transmitted along a waveguide with a curvature radius of 20 mm, and the reflection loss is less than 3%; The low-frequency noise is absorbed by the 50-μm-thick piezoelectric coating on the inner wall of the channel and dissipated through the aluminum heat sink fins at a power of 5 W / cm²

[0031] The filtered electrical signal enters the physical logic decision module; The nickel-titanium alloy spiral waveguide constructs a time window through three groups of path length differences of 17 mm, 23 mm, and 29 mm; When the time difference between the two signals is less than 50 ns and the energy superposition exceeds 5 μJ, it triggers the AND gate logic to output a 3.3 V pulse signal; The optical pulse is transmitted to the intelligent management module through a multimode optical fiber with a core diameter of 62.5 μm, and the transmission delay is eliminated by the preset digital compensation algorithm; The intelligent management module acquires the frame stress data at a sampling frequency of 1 kHz, calculates the real-time load value after removing the high-frequency noise through Kalman filtering, and adjusts the current of the magnetorheological damper to increase its stiffness as the load increases; At the same time, the path scoring model analyzes the cumulative stress peaks of each section to generate an optimal path recommendation; The vehicle speed optimization module issues control instructions to the drive motor through the CANFD bus at a rate of 2 Mbit / s according to the real-time energy consumption data, and controls the vehicle speed fluctuation within a range of 0.5 km / h

[0032] When the vehicle passes over a bumpy road surface, the self-destructive protection mechanism monitors that the impedance mutation of the key nodes of the vehicle frame exceeds 20%; the liquid metal layer cuts off the circuit within 50 milliseconds under the action of a 3-ampere fusing current to prevent illegal disassembly; at the same time, the system requires an external device to apply an 8-kilohertz vibration signal for 1 second. When the matching degree of the frame response spectrum exceeds 90% after fast Fourier transform analysis, the maintenance interface is unlocked; during the whole process, the electric energy recovered by the piezoelectric ceramics is converted into direct current by a full-bridge synchronous rectification circuit and stored in a 10-farad supercapacitor; when the energy recovery rate meets the system requirements, the full function operation is maintained, otherwise it automatically switches to the low-power mode and only maintains the power supply of the core sensors; the titanium nitride wear-resistant layer and the molybdenum disulfide lubricating layer on the system surface cooperate to reduce mechanical wear; a residual compressive stress layer is formed on the surface of the nickel-titanium alloy spiral waveguide treated by shot peening to ensure long-term operation reliability; the cooling fan dynamically adjusts the rotation speed according to the data of the temperature sensor to maintain the temperature of the inner wall of the channel within the range of 25°C ± 0.5°C.

[0033] The physical authentication mechanism requires an external maintenance device to apply a sine wave vibration signal with a frequency of 8 kHz ± 200 Hz, a signal amplitude of 0.5 g, and a duration of 1 second. The vibration direction is perpendicular to the main load-bearing surface of the vehicle frame. This frequency range is determined through a vehicle frame modal analysis experiment. There is a significant resonance peak near 8 kHz for the vehicle frame, and its natural frequency is from 7980 Hz to 8120 Hz. The vibration energy can excite the characteristic response of the vehicle frame structure within this frequency band; the external device applies the vibration signal to the titanium alloy honeycomb unit near the vehicle frame maintenance interface through a piezoelectric exciter. The excitation point is located at 1 / 3 of the longitudinal center line of the vehicle frame from the tail. The structural stiffness and mass distribution here are most likely to excite the global mode; the vehicle frame response signal is collected by the piezoelectric ceramics in the gradient piezoelectric composite vehicle frame module, filtered through a mechanical impedance matching network, and then generates a response spectrum in the 0-20 kHz frequency band through fast Fourier transform (FFT); among them, the authentication algorithm extracts the amplitude sequence within the range of 8 kHz ± 200 Hz and performs a normalized cross-correlation calculation with the pre-stored standard spectrum. The correlation coefficient threshold is set to 0.9; if the matching is successful, the liquid metal conduction path of the maintenance interface remains intact; if three consecutive authentication failures occur, the fusing mechanism is triggered and the system is locked for 72 hours; this design realizes physical-level identity binding through the inherent dynamic characteristics of the vehicle frame and effectively resists attacks of forged vibration signals.

[0034] This embodiment fully presents the whole process of the platform from mechanical energy collection to intelligent decision-making in cold chain transportation; the femtosecond laser forming process of the titanium alloy skeleton ensures structural accuracy; the gradient distribution design of the piezoelectric ceramics realizes efficient conversion of stress and electrical signals; the layered structure of the mechanical impedance network optimizes the signal transmission efficiency; the path difference design of the physical logic module improves the judgment accuracy; the multi-dimensional regulation of the intelligent management module ensures transportation stability; the dual protection strategy of the self-destruction mechanism copes with security threats; the energy closed-loop system realizes self-sustaining operation through piezoelectric recovery and supercapacitor energy storage.

[0035] Example Two:

[0036] Based on Example One, in this example, the control strategy of the intelligent management module is optimized for the complex mountain road conditions, and the temperature-related protection function of the self-destruction protection mechanism is strengthened; when the transport vehicle enters a continuous winding mountain road, the gradient piezoelectric composite frame module monitors the stress distribution differences in different areas of the frame in real time; the volume ratio of piezoelectric ceramics in the central area of the titanium alloy honeycomb skeleton is increased to 18% to capture the asymmetric loads generated by sharp turns; the 50-layer gradient structure of the mechanical impedance matching network module increases the absorption rate of low-frequency vibration noise below 20 Hz generated by the friction between the tire and the ground to 92%, ensuring that the high-frequency steering stress signal is transmitted to the physical logic decision module with a loss of less than 3%.

[0037] The nickel-titanium alloy spiral waveguide of the physical logic decision module is increased to 7 turns, and the path length difference is expanded to four prime number sequences of 17 mm, 23 mm, 29 mm, and 31 mm. The time window judgment accuracy is improved to 5 nanoseconds; when the vehicle passes a hairpin bend, the stress in the left front wheel area suddenly increases by 150%. The time difference between the two signals in the 23 mm and 31 mm paths is 42 nanoseconds, triggering the OR-NOT gate logic bypass output; the intelligent management module immediately activates the corner control mode, and the current of the magnetorheological damper increases from 0.5 A to 1.2 A, increasing the suspension stiffness by 80%; at the same time, the vehicle speed optimization module issues instructions at a high speed of 4 Mbps through the CANFD bus to stepwise reduce the vehicle speed from 60 km / h to 40 km / h, with a decrease of 5 km / h per step and an interval of 200 milliseconds to avoid cargo overturning.

[0038] The self-destruction protection mechanism adds a temperature-related fusing strategy; when the local temperature of the frame rises to 70 °C due to continuous braking on a long downhill, the change in the resistivity of the liquid metal layer triggers the warning mechanism; after the temperature exceeds 85 °C and lasts for 3 seconds, the fusing operation is automatically executed, the fusing current is increased from 3 A to 5 A, and the fusing time is shortened to 30 milliseconds; the physical spectrum authentication module synchronously enables multi-band vibration tests, requiring external devices to apply three groups of vibration signals of 8 kHz, 12 kHz, and 16 kHz in sequence, with a total duration of 3 seconds; the frame response spectrum is analyzed by fast Fourier transform, and the matching threshold is increased from 90% to 95%.

[0039] The energy management system is adaptively optimized for mountain conditions; when the vehicle climbs a slope, the electrical energy output by the piezoelectric ceramics increases by 25%, and the full-bridge synchronous rectifier circuit switches to the boost mode to increase the DC voltage from 48 volts to 52 volts, while the supercapacitor energy storage efficiency remains at 92%; during downhill, the energy recovery system enters the overload protection state and automatically diverts to the on-vehicle battery when the recovery power exceeds 1.2 times the rated value; the cooling system starts the dual-fan mode, the spacing of the aluminum cooling fins is adjusted from 2 mm to 1.5 mm, and the cooling power is increased to 8 W / cm²; the molybdenum disulfide lubricating layer on the surface of the nickel-titanium alloy spiral waveguide is thickened to 3 microns to reduce wear caused by high-frequency torsion in curves.

[0040] In this embodiment, through three-stage verification tests, the system successfully identified 12 sharp curves and 8 long slopes during 30 km of continuous mountain road transportation; the vehicle speed control error was maintained within the range of 0.4 km / h, and the response time of the magnetorheological damper was shortened to 40 milliseconds; the self-destruction mechanism accurately triggered and fused the energy recovery system during 3 simulated illegal disassembly tests, extending the supercapacitor endurance time by 22%; the key improvements include expanding the path difference sequence of the physical logic decision module, strengthening the multi-band analysis ability of spectrum authentication, and optimizing the dynamic adjustment algorithm of the cooling system; all upgrades are implemented through the original hardware interface without adding new modules.

[0041] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent logistics vehicle monitoring platform, characterized in that: It includes a gradient piezoelectric composite frame module, a mechanical impedance matching network module, a physical logic decision module, an intelligent management module, and a self-destruction protection mechanism; The gradient piezoelectric composite frame module converts vehicle mechanical stress into electrical signals through the gradient composite structure of a titanium alloy honeycomb skeleton and piezoelectric ceramics. The titanium alloy honeycomb skeleton is constructed layer by layer through the selective laser melting process of femtosecond lasers. The piezoelectric ceramics are embedded in the high-stress areas of the skeleton in a dendritic branch form and are directionally polarized. The electrical energy generated by the piezoelectric ceramics is used to achieve self-sustained power supply with supercapacitors; The mechanical impedance matching network module filters and purifies the electrical signals through an acoustic impedance gradient channel. The acoustic impedance gradient channel realizes impedance gradient by continuously changing the material density. High-frequency signals are directionally transmitted along the high-impedance channel, and low-frequency noise is absorbed by the low-impedance region; The physical logic decision module constructs a time window through the path length difference of a nickel-titanium alloy spiral waveguide, triggers hardware-level logical operations, and outputs control instructions. The logical output instructions are transmitted to the intelligent management module through optical fibers; The intelligent management module dynamically adjusts the stiffness of the vehicle's magnetorheological damper, optimizes the driving path and speed based on the logical operation results; The self-destruction protection mechanism ensures system security through liquid metal fusing and physical spectrum authentication. The system is an intelligent logistics vehicle monitoring platform; The output signal of the gradient piezoelectric composite frame module is input into the mechanical impedance matching network module for filtering. The filtered signal is input into the physical logic decision module to execute logical judgment. The logical judgment result triggers the intelligent management module to execute dynamic regulation. The self-destruction protection mechanism monitors illegal disassembly behaviors in real time and triggers fusing.

2. An intelligent logistics vehicle monitoring platform according to claim 1, characterized in that: In the gradient piezoelectric composite frame module, the polarization direction of the piezoelectric ceramics is consistent with the principal stress direction of the titanium alloy honeycomb skeleton; During the deposition process of titanium alloy by the selective laser melting process of femtosecond lasers, a polarization electric field is applied synchronously. The direction of the polarization electric field is perpendicular to the main bearing surface of the honeycomb unit. The end of the dendritic branch of the piezoelectric ceramics is directly welded to the inlet end of the mechanical impedance matching network module. The welding interface is precisely polished to reduce signal reflection loss.

3. The intelligent logistics vehicle monitoring platform according to claim 1, wherein: In the mechanical impedance matching network module, the acoustic impedance gradient channel realizes impedance gradient by alternately stacking titanium alloy and piezoelectric ceramic layers; the curvature radius of the high-frequency signal transmission path is controlled by the waveguide geometry to avoid signal reflection; the low-frequency noise absorption area covers the piezoelectric coating. The piezoelectric coating is deposited on the inner wall of the channel through the magnetron sputtering process, and the absorbed noise energy is converted into heat energy and dissipated.

4. An intelligent logistics vehicle monitoring platform according to claim 1, characterized in that: In the physical logic decision module, the length difference of the nickel-titanium alloy spiral waveguide forms a preset time window; when the time difference between two input signals is less than the preset threshold, an AND gate logic output is triggered. When the delay of the main signal exceeds the preset threshold, a NOR gate logic output is triggered; the end of the nickel-titanium alloy spiral waveguide is connected to a Galfenol actuator. The Galfenol actuator generates displacement under the drive of current and triggers a mechanical switch. The output end of the mechanical switch is connected to the control unit of the intelligent management module through an optical fiber.

5. An intelligent logistics vehicle monitoring platform according to claim 1, characterized in that: In the intelligent management module, the load distribution is calculated by real-time collection of the frame stress data, and the stiffness of the magnetorheological damper is adjusted according to the load distribution to balance the load; Based on the stress data, the road surface quality is deduced to generate a path scoring model, and the driving route is optimized in combination with the tire wear prediction result; the vehicle speed is dynamically adjusted according to the real-time energy consumption data to minimize the energy consumption, and the vehicle speed adjustment instruction is executed by the vehicle-mounted controller.

6. The intelligent logistics vehicle monitoring platform according to claim 1, wherein: The connection relationship between the mechanical impedance matching network module and the physical logic decision module, the outlet end of the high-frequency signal transmission path is coupled with the inlet end of the nickel-titanium alloy spiral waveguide through a tapered impedance matching structure; the geometric parameters of the tapered impedance matching structure are designed according to the signal frequency range to ensure that the signal energy transmission efficiency is not less than 90%; the heat dissipation power of the piezoelectric coating is matched with the power consumption of the physical logic decision module in real time.

7. An intelligent logistics vehicle monitoring platform according to claim 1, characterized in that: The interaction mechanism between the physical logic decision module and the intelligent management module, the mechanical switch trigger signal is transmitted to the magnetorheological damper control unit through an optical fiber, and the optical fiber transmission delay is eliminated by a preset time compensation algorithm; the path scoring model receives the fault code output by the physical logic decision module and generates an optimization instruction, and the optimization instruction is distributed to the actuator through the in-vehicle bus.

8. An intelligent logistics vehicle monitoring platform according to claim 1, characterized in that: The electric energy generated by the piezoelectric ceramic is converted into direct current by a rectifier circuit and stored in a super capacitor; the impedance characteristic of the rectifier circuit is dynamically matched with the piezoelectric output to maximize the energy recovery efficiency; the super capacitor supplies power to the physical logic decision module and the intelligent management module, and the system energy supply rate is balanced with the power consumption in real time, and the system energy supply rate is the electric energy supply rate provided by the monitoring platform through piezoelectric ceramic energy recovery and super capacitor energy storage.

9. The intelligent logistics vehicle monitoring platform according to claim 1, characterized in that: The self-destruction protection mechanism is to coat a liquid metal layer at the key nodes of the frame. When an illegal disassembly behavior is detected, a DC voltage is applied to fuse the conduction path of the liquid metal; the maintenance operation needs to be verified through a physical authentication mechanism. The external device can access the system only after applying a specific frequency vibration signal and matching the frame response spectrum characteristics.