Intelligent lock emergency wake-up method and system based on energy pulse resonance

CN121216690BActive Publication Date: 2026-10-20YIMAITONG (SHENZHEN) INTELLIGENT TECH CO LTD
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Patent Information

Application Number
CN202511736057.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-25
Publication Date
2026-10-20
Estimated Expiration
2045-11-25

AI Technical Summary

Technical Problem

传统方案中,外接充电宝接口的设置导致锁体表面存在永久性暴露的电气连接点,易成为恶意攻击的物理入口,而机械钥匙孔的保留不仅破坏锁体外观的一体化设计,更面临钥匙丢失、复制的安全隐患

Benefits of technology

本发明通过在锁体表面部署正交极化的三维压电陶瓷阵列,将用户按压把手的机械振动能转化为高频脉冲电信号,构建了覆盖多维受力方向的被动能量采集网络,突破了传统方案对外部能源的依赖,实现了应急场景下的自供电输入。

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of intelligent lock power supply, specifically to an emergency wake-up method and system for an intelligent lock based on energy pulse resonance, comprising the following steps: deploying a three-dimensional piezoelectric ceramic array on the surface of the lock body, converting the pressing action of the user on the handle into a high-frequency pulse electrical signal, the polarization direction of the piezoelectric ceramic array is configured orthogonally to the main stress direction of the lock body, forming a spatial multi-dimensional vibration energy capture structure. The present application converts the mechanical vibration energy of the user pressing the handle into a high-frequency pulse electrical signal by deploying an orthogonally polarized three-dimensional piezoelectric ceramic array on the surface of the lock body, and constructs a passive energy collection network covering multi-dimensional stress directions, breaking through the dependence on external energy of the traditional scheme, and realizing self-power supply input in an emergency scenario.
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Description

Technical Field

[0001] This invention relates to the field of smart lock power supply technology, specifically to a method and system for emergency wake-up of smart locks in the event of power failure based on energy pulse resonance. Background Technology

[0002] Emergency unlocking solutions for smart locks in power-free environments have long relied on external energy input or mechanical redundancy structures. In traditional solutions, the inclusion of an external power bank interface results in permanently exposed electrical connection points on the lock body surface, easily becoming physical entry points for malicious attacks. The retention of the mechanical keyhole not only disrupts the lock's integrated design but also poses security risks due to lost or copied keys. Furthermore, existing technologies generally neglect the mechanical vibration energy generated during daily user operations, failing to establish an effective mechanism for converting human kinetic energy into emergency wake-up power. This means that the emergency unlocking process still relies on pre-stored electrical energy or external devices, often leading to complete lock failure in extreme scenarios where the battery is depleted and no external power assistance is available. Therefore, the technical problem addressed in this invention is: how to construct a self-powered emergency wake-up system based on user-operated energy, while avoiding the introduction of external interfaces and mechanical redundancy structures. Summary of the Invention

[0003] This disclosure proposes a method and system for emergency wake-up of smart locks in the event of power failure based on energy pulse resonance, with the aim of overcoming at least one of the defects in the prior art.

[0004] To achieve the above objectives, the technical solution disclosed in this invention is as follows: According to one aspect of this disclosure, a method for emergency wake-up of a smart lock in the event of a power outage based on energy pulse resonance is provided, comprising the following steps: A three-dimensional piezoelectric ceramic array is deployed on the surface of the lock body to convert the user's pressing action on the handle into a high-frequency pulse electrical signal. The polarization direction of the piezoelectric ceramic array is orthogonal to the main force direction of the lock body, forming a spatial multidimensional vibration energy capture structure. The high-frequency pulse electrical signal is subjected to joint time-frequency domain analysis by a preset resonant energy capture circuit, and only responds to the resonant energy accumulation triggered by the user-defined press mode encoding. The center frequency of the bandpass filter of the resonant energy capture circuit can be dynamically tuned according to the press mode. When the amount of charge accumulated in the resonant energy capture circuit reaches the dynamic threshold, the wake-up module of the thermal insulation logic is activated. The wake-up module provides temporary power to the lock body control unit through the energy cache circuit within 30 seconds. After the wake-up module is activated, it directly retrieves the hash key generated based on the pressing mode from the storage unit, and drives the mechanical structure of the lock body after the key is dynamically transformed by the hardware obfuscation circuit to complete the emergency unlocking without battery. The temporary power supply cache is automatically cleared after each unlock.

[0005] Furthermore, the three-dimensional piezoelectric ceramic array includes six groups of piezoelectric ceramic sheets distributed along the X / Y / Z axes. Three groups of longitudinally polarized ceramic sheets are deployed in the handle grip area, and three groups of transversely sheared ceramic sheets are deployed in the panel area. The output terminals of each group of ceramic sheets are connected in parallel to the resonant energy capture circuit through a charge amplifier. The gain coefficient of the charge amplifier is dynamically adjusted according to the pressing area.

[0006] Furthermore, the pressing pattern encoding includes time-domain feature parameters and frequency-domain feature parameters: the time-domain feature parameters are the time interval sequence (t1, t2) between two adjacent pressings, where t1∈[50ms, 150ms] and t2∈[200ms, 300ms]; the frequency-domain feature parameters are that the energy proportion of the pressing vibration signal in the 80Hz~150Hz frequency band is ≥70%, and the pressing pattern encoding is bound to the emergency key generation factor through an asymmetric encryption algorithm.

[0007] Furthermore, the resonant energy capture circuit includes a tunable LC resonant unit and a pulse timing discriminator: the capacitance value of the tunable LC resonant unit is dynamically configured by a digital potentiometer based on a user-preset pressing frequency to achieve selective amplification of specific frequency signals; the pulse timing discriminator records the time interval of continuous pressing through a shift register, and triggers the energy accumulator to start working only when a preset interval sequence is detected.

[0008] Furthermore, the wake-up module includes an energy management unit and a state latching circuit: the energy management unit uses a supercapacitor as a temporary energy storage element, and its charging current path is equipped with a reverse blocking diode to prevent energy backflow during the wake-up process; after detecting a valid wake-up signal, the state latching circuit outputs a high-level signal for 30 seconds through a Schmitt trigger to drive the subsequent unlocking circuit to work.

[0009] Furthermore, it also includes a self-learning calibration step for the pressing mode: after the user inputs the correct pressing mode multiple times in a row, the system automatically collects the vibration signal characteristics of the current pressing, including frequency offset and force distribution, and updates the bandpass filter parameters of the resonant energy capture circuit through an adaptive filter to form a personalized pressing mode matching model.

[0010] Furthermore, the unlock command generation path is equipped with a dual verification mechanism: the wake-up legitimacy is verified by the frequency characteristics of the pressing mode, and the hash value of the emergency key is matched with the physical feature code of the lock body's mechanical structure. The physical feature code is a unique ID formed by the machining error of the lock body's gear set.

[0011] Furthermore, the surface of the piezoelectric ceramic array is covered with a piezoresistive thin-film sensor for real-time detection of the pressure distribution in the pressing area. When the pressure distribution does not conform to the preset handle grip characteristics, the resonant energy capture circuit enters the anti-brute-force mode and temporarily raises the wake-up threshold.

[0012] Furthermore, when the remaining charge of the supercapacitor is higher than the wake-up threshold, the excess energy is released through the discharge resistor to prevent overvoltage damage to the wake-up module; when the remaining charge is lower than 50% of the wake-up threshold, the operating frequency of the wake-up module is reduced through pulse width modulation to extend the emergency power supply time.

[0013] According to another aspect of this disclosure, a smart lock power-out emergency wake-up system based on energy pulse resonance is provided, for implementing the smart lock power-out emergency wake-up method based on energy pulse resonance as described above, comprising: The multidimensional energy coupling unit includes an orthogonally polarized three-dimensional piezoelectric ceramic array and a charge amplification circuit, which is used to convert the mechanical vibration energy generated by user operation into a recognizable high-frequency pulse electrical signal. The layout of the piezoelectric ceramic array covers the main force-bearing areas of the lock handle and panel. The resonance coding identification unit includes a tunable LC resonant circuit and a pulse timing discriminator. The center frequency of the LC resonant circuit can be dynamically adjusted according to the user's preset pressing mode. The timing discriminator is used to verify whether the pressing interval sequence conforms to the preset coding rules. The ultra-low power wake-up unit includes an adiabatic logic wake-up circuit and a supercapacitor energy storage module. The dynamic power consumption of the adiabatic logic wake-up circuit during wake-up is ≤50μW, and the supercapacitor energy storage module provides 30 seconds of emergency power supply to the system after activation. The security key interaction unit includes a fuse-type OTP memory and a hardware obfuscation circuit. The OTP memory is used to store an emergency key bound to the press mode. The hardware obfuscation circuit dynamically transforms the key during unlocking and outputs it to the lock body drive mechanism.

[0014] The beneficial effects of this invention are: This invention utilizes an orthogonally polarized three-dimensional piezoelectric ceramic array deployed on the surface of the lock body to convert the mechanical vibration energy of the user pressing the handle into a high-frequency pulse electrical signal, thereby constructing a passive energy harvesting network covering multiple force directions. This breaks through the dependence of traditional solutions on external energy sources and enables self-powered input in emergency scenarios.

[0015] The preset resonant energy capture circuit, through a dynamically tuned bandpass filter, responds only to time-frequency domain signal characteristics that match the user-defined pressing mode, forming a physical layer authentication mechanism based on energy pulse resonance. This avoids the vulnerability of fixed-frequency response and eliminates the need for additional battery power for signal processing, thus removing the security risks of external interfaces from the underlying architecture.

[0016] When the resonant energy accumulates to the dynamic threshold, the activation of the thermal logic wake-up module and the temporary power supply design of the supercapacitor ensure that the lock body control unit is provided with 30 seconds of emergency energy in the absence of main power. Combined with the hash key bound to the pressing mode in the storage unit and the dynamic transformation processing of the hardware obfuscation circuit, a closed-loop conversion from pure mechanical energy to unlocking command is realized.

[0017] The technical solution of this invention does not require a traditional mechanical key or external power supply. It drives the entire emergency wake-up process through passive energy generated by user operation. This not only solves the problems of inconvenience in carrying mechanical structures and security issues related to exposed interfaces, but also utilizes daily operating energy to build a self-sustaining emergency system. This significantly improves the usability of smart locks in extreme power-free environments and provides a brand-new energy utilization method and security authentication mechanism for smart lock emergency unlocking technology.

[0018] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the following describes the preferred embodiments of the present invention in detail with reference to the accompanying drawings. Attached Figure Description

[0019] Figure 1 This is a flowchart of a smart lock emergency wake-up method in one embodiment of the present invention; Figure 2 This is a schematic diagram of the deployment of a three-dimensional piezoelectric ceramic array in one embodiment of the present invention; Figure 3 This is a schematic diagram of the time-frequency domain characteristics of the pressing mode in one embodiment of the present invention; Figure 4 This is a schematic diagram of the adjustable LC resonant frequency response in one embodiment of the present invention; Figure 5 This is a topology diagram of a resonant energy harvesting circuit in one embodiment of the present invention; Figure 6 This is a schematic diagram of charge accumulation and dynamic threshold in one embodiment of the present invention; Figure 7 This is a schematic diagram of self-learning calibration of the pressing mode in one embodiment of the present invention; Figure 8 This is a schematic diagram illustrating the security key generation and obfuscation process in one embodiment of the present invention; Figure 9 This is a schematic diagram of pressure distribution safety protection in one embodiment of the present invention; Figure 10 This is a schematic diagram illustrating the relationship between energy consumption and power supply time in one embodiment of the present invention. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0021] The present invention provides the following preferred embodiments: Example 1: To address the emergency wake-up problem of smart locks in battery-free scenarios, this example provides a power-free emergency wake-up method based on energy pulse resonance. Through the coordinated design of the lock's hardware structure and signal processing logic, it achieves efficient capture of pressing energy and secure wake-up control. For example... Figure 1 As shown, the wake-up method flow is as follows: S100: A three-dimensional piezoelectric ceramic array is deployed on the surface of the lock body to convert the user's pressing action on the handle into a high-frequency pulse electrical signal. The polarization direction of the piezoelectric ceramic array is orthogonal to the main force direction of the lock body, forming a spatial multidimensional vibration energy capture structure.

[0022] S200: Performs time-frequency domain joint analysis on high-frequency pulse electrical signals through a preset resonant energy capture circuit, and only responds to the resonant energy accumulation triggered by the user-defined pressing mode encoding. The center frequency of the bandpass filter of the resonant energy capture circuit can be dynamically tuned according to the pressing mode.

[0023] S300: When the accumulated charge of the resonant energy capture circuit reaches the dynamic threshold, the wake-up module of the thermal insulation logic is activated. The wake-up module provides temporary power to the lock body control unit through the energy cache circuit within 30 seconds.

[0024] S400: After the wake-up module is activated, it directly retrieves the hash key generated based on the press mode from the storage unit. After the key is dynamically transformed by the hardware obfuscation circuit, it drives the mechanical structure of the lock body to complete the emergency unlocking without battery. The temporary power supply cache is automatically cleared after each unlock.

[0025] First, a three-dimensional piezoelectric ceramic array is deployed on the surface of the lock body. The polarization direction of this array is orthogonal to the main force direction of the lock body, forming a spatial multidimensional vibration energy capture structure. For example... Figure 2As shown, the piezoelectric ceramic sheet is divided into two parts: a handle area and a panel area. The handle area adopts a longitudinal polarization method, with multiple sets of ceramic sheets arranged along the main force direction of the pressing action, i.e., the vertical direction, to capture the vertical vibration energy generated by the pressing action. The panel area adopts a transverse polarization method, with multiple sets of ceramic sheets also arranged laterally on the lock body panel to sense lateral offset vibration. This orthogonal polarization configuration can effectively separate mechanical vibration signals in different directions, ensuring that the high-frequency pulse electrical signals generated by the pressing action can be directionally acquired, avoiding environmental vibration interference.

[0026] Furthermore, a time-frequency domain joint analysis is performed on the high-frequency pulse electrical signal using a pre-set resonant energy capture circuit. For example... Figure 5 As shown, the circuit includes components such as a charge amplifier, an LC resonant circuit, and a digital potentiometer. The electrical signal first undergoes impedance transformation through the charge amplifier, and then is input to the LC resonant circuit. The center frequency of its bandpass filter can be dynamically tuned by the digital potentiometer. The user-defined press pattern encoding includes a sequence of time intervals for three consecutive rapid presses (e.g., t1, t2, t3) and a press frequency feature vector (f1, f2, f3), such as... Figure 3 The time-frequency domain feature map shown demonstrates how the circuit extracts the time interval and frequency characteristics of the signal through time-frequency domain analysis. Only when a signal matching the preset code is detected is the narrowband response of the LC resonant circuit triggered, achieving selective accumulation of resonant energy. It's important to understand that the dynamic tuning mechanism adjusts the LC loop parameters in real-time to match the pressing frequency, ensuring the circuit's center frequency aligns with the main frequency of the pressing action, thereby maximizing energy capture efficiency and reducing energy loss from invalid signals.

[0027] Furthermore, when the accumulated charge in the resonant energy capture circuit reaches a dynamic threshold, the wake-up module of the adiabatic logic is activated. For example... Figure 6 As shown, the dynamic threshold is corrected in real time based on the ambient temperature collected by the temperature sensor and the aging coefficient of the piezoelectric ceramic: the change in the dielectric constant of the material when the temperature decreases causes the threshold to increase adaptively. The aging coefficient is obtained by fitting historical energy capture data and is used to compensate for the impact of ceramic plate performance degradation. The wake-up module adopts a low-power thermally adiabatic logic design. Within 30 seconds after the charge reaches the threshold, a supercapacitor-based energy cache circuit provides temporary power to the lock body control unit. This cache circuit sets an energy release threshold, and automatically cuts off the power supply when the charge falls below the minimum value required to maintain the wake-up module's operation, ensuring the targeted utilization of energy.

[0028] Furthermore, after the wake-up module is activated, it directly retrieves the hash key generated based on the press mode from the storage unit. For example... Figure 8As shown, the key generation process combines the time-frequency characteristics of the pressing mode with the physical characteristics of the lock body, such as the gear machining error ID, and dynamically transforms it through a hardware obfuscation circuit: Each time the lock is woken up, the obfuscation circuit generates a random transformation matrix based on the real-time acquired impedance distribution of the piezoelectric ceramic array, obfuscating the hash key bit by bit to form a one-time drive signal. After this signal drives the lock body's mechanical structure to complete the emergency unlocking, the energy cache circuit immediately performs a capacitor discharge operation, automatically clearing the temporary power supply cache to prevent residual energy from being illegally used. It can be understood that the combination of the hardware obfuscation circuit and the physical feature database ensures the unpredictability of key transformations, while the immediate cache clearing design cuts off subsequent attack paths at the hardware level.

[0029] This embodiment achieves directional capture of multidimensional vibration energy through a three-dimensional orthogonally polarized piezoelectric ceramic array, utilizes a dynamically tuned resonant circuit to encode and recognize pressing patterns, and combines a dynamic threshold mechanism correlated with environmental parameters to ensure wake-up reliability. Finally, hardware-level key obfuscation and instant energy clearing ensure the security of the unlocking process. The collaborative design of each component forms a complete closed loop from energy capture and signal processing to security control, providing a systematic solution for emergency wake-up of smart locks in battery-free scenarios.

[0030] Example 2: In order to solve the problem of differential capture and signal adaptation of pressing energy in three-dimensional space, this example further optimizes the spatial distribution structure and signal preprocessing mechanism of the piezoelectric ceramic array. Through the coordinated design of orthogonal polarization configuration and dynamic gain adjustment, efficient acquisition and targeted amplification of pressing signals in different regions are achieved.

[0031] like Figure 2 As shown, a three-dimensional piezoelectric ceramic array is deployed with six sets of ceramic plates along the X / Y / Z axes of the lock body coordinate system, forming a differentiated sensing layout between the handle grip area and the panel area. Specifically, the handle grip area (coordinates x=4.3~6.4cm, y=3.5cm, z=0.1cm) deploys three sets of longitudinally polarized ceramic plates (P1-P3), whose polarization direction is consistent with the main force direction (Z-axis) of the pressing action. Their geometric dimensions are 0.4cm long, 0.4cm wide, and 0.8cm high, with adjacent ceramic plates evenly distributed at 0.7cm intervals, used to capture the longitudinal vibration energy generated by vertical pressing. The panel area (x=1cm, 3cm, 5cm, y=1.5cm, z=0.1cm) deploys three sets of transversely sheared ceramic plates (P4-P6), using a transverse polarization method (i.e., polarization direction along the X-axis), with dimensions of 1.2cm long, 0.2cm wide, and 0.2cm high, used to sense the transverse offset vibration generated during pressing. This design, which orthogonally distributes longitudinally polarized and laterally sheared ceramic sheets, can effectively separate mechanical stress signals from different directions and avoid signal coupling interference from sensors in a single direction.

[0032] Furthermore, the output terminals of each group of ceramic plates are connected in parallel to a resonant energy capture circuit via charge amplifiers, such as... Figure 5 The circuit topology shown allows for independent acquisition and synchronous processing of signals from the handle area and the panel area. It's important to understand the dynamic adjustment mechanism for the charge amplifier's gain coefficient: when a press is detected in the handle grip area, the system automatically adjusts the gain coefficient of the corresponding channel to a lower level, such as 30dB, triggered by the signal amplitude of ceramic plates P1-P3, to avoid amplifier saturation caused by strong press signals. If the press occurs in the panel area, identified by the signal characteristics of P4-P6, the charge generated by the lateral shearing effect is relatively small, so the gain of the corresponding channel is increased to a higher level, such as 50dB, to ensure effective amplification of weak signals. This area-differentiated gain adjustment is achieved through a pressure distribution detection module deployed on the lock body surface. This module, based on the spatial position encoding of the ceramic plates, determines the pressing area in real time and generates a gain control signal, thereby avoiding the problems of strong signal overload and weak signal loss at the hardware level.

[0033] Furthermore, the polarization direction of the transversely sheared ceramic sheet is orthogonal to the longitudinal ceramic sheet at a 90-degree angle, such as... Figure 2 The arrows along the X and Z axes represent the physical meaning of utilizing the shear effect (d15 piezoelectric constant) of the piezoelectric material to respond to transverse mechanical stress, while the longitudinal ceramic plates utilize the longitudinal effect (d33 piezoelectric constant) to respond to vertical stress. Their frequency response characteristics are naturally complementary. For example, when a user presses the handle at an angle, the longitudinal ceramic plate primarily captures the signal generated by the vertical force, while the transverse ceramic plate simultaneously acquires the shear vibration caused by the horizontal force. The time-frequency domain characteristics of these two types of signals are superimposed to form a complete representation of the pressing action. This orthogonal layout, combined with dynamic gain adjustment, allows the array to adapt to the energy capture requirements under different pressing postures, especially maintaining the integrity of signal acquisition in non-ideal operating scenarios such as eccentric pressing and edge pressing.

[0034] Furthermore, at the circuit connection level, the parallel connection method ensures that the output signals of each group of ceramic chips form a current superposition at the input of the charge amplifier, thereby improving the overall signal-to-noise ratio without changing the output characteristics of individual sensors. It is important to note that each charge amplifier is equipped with an independent ESD protection diode to prevent high-voltage transients from damaging the downstream resonant circuit. The control signal for dynamic gain adjustment is generated by the area recognition logic pre-installed in the lock body control unit. This logic, based on the spatial coordinates of the ceramic chips and the time difference of arrival (TDOA) algorithm, can accurately locate the pressing area within 200 microseconds, thereby driving the digital potentiometer to achieve real-time switching of the gain coefficient.

[0035] This embodiment constructs an energy harvesting system adapted to multidimensional mechanical stress by dividing the piezoelectric ceramic array into two types: longitudinal polarization and transverse shearing. This is achieved through spatial orthogonal deployment and regional dynamic gain adjustment. This design ensures efficient energy conversion in the main force direction and effectively detects transverse interference signals, providing richer raw signal material for subsequent time-frequency domain analysis of the resonant circuit. Simultaneously, the synergistic effect of the parallel access architecture and differentiated gain control solves the amplitude difference problem of pressure signals in different regions at the hardware level, laying a signal preprocessing foundation for the reliability of the entire wake-up system. By deeply coupling the sensor physical layout, material polarization characteristics, and circuit gain control, this embodiment forms a full-link optimization scheme from mechanical vibration to electrical signal conversion, ensuring energy harvesting efficiency and signal quality in complex pressure scenarios.

[0036] Example 3: In order to solve the problem of accurate feature extraction and secure binding of press-mode encoding, this example further refines the parameter definition and encryption binding mechanism of press-mode encoding. By combining the joint constraints of time-frequency domain features with the deep integration of asymmetric encryption algorithms, an emergency wake-up feature system that takes into account both recognition reliability and key security is constructed.

[0037] like Figure 3 The diagram illustrates the time-frequency domain characteristics of the pressing pattern. The acquisition of time-domain characteristic parameters relies on the high-precision timestamp module of the lock body control unit, defined as the time interval sequence (t1, t2) between two adjacent valid pressing actions. Here, t1 represents the time interval between the first and second pressing actions, with a value limited to 50ms to 150ms, used to capture the temporal compactness of rapid continuous pressing actions; t2 is the time interval between the second and third pressing actions, set to a range of 200ms to 300ms, to distinguish the rhythm gradient under different operating habits. It is important to understand that the trigger determination of the pressing action is based on... Figure 2 The signal output of the three-dimensional piezoelectric ceramic array shown can automatically record the trigger time when the charge change of any ceramic sheet exceeds the preset value. The time-domain feature vector is calculated by the difference between adjacent trigger times. This timing constraint effectively eliminates the possibility of misidentification by random tapping or single pressing.

[0038] Furthermore, the extraction process of frequency domain feature parameters is as follows: Figure 3As shown in the lower-level spectrum analysis module, the system performs a Fast Fourier Transform on the vibration signal acquired by the piezoelectric ceramic and calculates the energy percentage within the 80Hz to 150Hz frequency band. This frequency band is selected based on the vibration characteristics of the lock's mechanical structure—the mechanical vibration energy generated by pressing the handle is mainly concentrated in the mid-frequency region. After filtering out low-frequency environmental noise (<80Hz) and high-frequency electromagnetic interference (>150Hz) through bandpass filtering, the remaining frequency band's energy percentage must meet the criterion of ≥70%. It can be understood that the introduction of frequency domain features creates physical constraints on the pressing action, forming a multi-dimensional feature space together with the time domain sequence, thus improving the anti-interference capability of pattern recognition.

[0039] Furthermore, regarding secure binding mechanisms, such as Figure 8 The diagram illustrating the secure key generation shows that the time-frequency domain parameters encoded in the press-mode are normalized and then used as input parameters to the RSA-2048 asymmetric encryption algorithm. Specifically, the system first converts the time-domain interval sequence (t1, t2) and the frequency-domain energy proportion parameters into a fixed-length feature vector. A feature digest is then generated using the SHA-256 hash function, and this digest is negotiated with the emergency key generation factor stored in the lock's security chip. It's important to note that this encryption process incorporates dynamic salt obfuscation technology. Each time a key is generated, a 128-bit salt is randomly generated and mixed with the feature parameters to avoid the risk of feature leakage due to repeated operations. The encryption algorithm outputs a 2048-bit key pair, where the public key is used for external verification, and the private key and lock hardware features are... Figure 8 The physical feature library of gear machining error IDs shown forms a binding relationship to ensure the uniqueness and irreversible derivability of the generated key.

[0040] Furthermore, the collaborative design of time-frequency domain feature parameters and encryption algorithms achieves end-to-end security protection for the press-mode encoding from signal acquisition to key generation: time-domain sequence constraints on operation rhythm, frequency-domain feature filtering of invalid vibrations, and asymmetric encryption mechanisms to ensure the irreversibility of the key generation process. During wake-up verification, the system simultaneously verifies the consistency of the time-domain interval, frequency-domain energy ratio, and encryption key, and constructs a secure authentication system through a multi-layer feature matching mechanism to effectively resist brute-force attacks and feature spoofing attacks.

[0041] This embodiment constructs a pressing mode characterization method with physical characteristic constraints by defining a well-defined range of time-frequency domain feature parameters, and uses the RSA-2048 encryption algorithm to securely bind the feature parameters to the emergency key. This design organically combines the temporal and frequency characteristics of mechanical vibration with cryptographic mechanisms, ensuring wake-up recognition accuracy while providing hardware-level security protection for emergency key generation, forming a closed-loop security architecture from signal characteristics to key generation.

[0042] Example 4: To address the issues of environmental noise interference and invalid signal triggering during energy capture, this example further refines the structural design of the resonant energy capture circuit. Through the collaborative work of the tunable LC resonant unit and the pulse timing discriminator, an energy extraction mechanism with frequency selectivity and timing constraints is constructed to ensure accurate response and effective wake-up operation in a power-free environment.

[0043] like Figure 4 The schematic diagram of the LC resonant frequency response shown is similar to... Figure 5 The resonant energy capture circuit topology shown depicts a tunable LC resonant unit composed of a digital potentiometer, a fixed inductor, and a frequency-selective capacitor. The resistance adjustment range of the digital potentiometer corresponds to the dynamic configuration of the capacitor value. Its control signal comes from a user-preset press frequency parameter—when the user sets a specific wake-up frequency (e.g., 120Hz) through the management interface, the system converts this frequency into an LC resonant formula. The required capacitance value is adjusted via an SPI bus-driven digital potentiometer to change the equivalent capacitance, ensuring the resonant frequency of the LC circuit precisely matches the preset pressing frequency. It's important to understand that this tuning process is completed during the lock body initialization phase. Figure 7 The self-learning calibration mechanism shown can dynamically compensate for inductor parameter drift caused by changes in ambient temperature, ensuring the frequency selectivity of the resonant circuit. When a vibration signal generated by external pressure is input, only the signal component near the resonant frequency is selectively amplified, effectively filtering out noise interference in other frequency bands and improving energy capture efficiency.

[0044] Furthermore, the pulse timing discriminator is a 16-bit shift register, whose clock signal is provided by a frequency divider of a lock-body crystal oscillator, achieving a resolution of up to 10ms. For example... Figure 5 As shown, this module collects the trigger times of adjacent presses in real time, generates sequence data by calculating the time interval, and compares it with a preset interval threshold. Only when the time interval sequence of three consecutive presses perfectly matches the preset pattern, the shift register outputs an enable signal, triggering the energy accumulator to start working. Understandably, this timing discrimination mechanism avoids false triggering from single presses or random taps. By using the time interval characteristic as a prerequisite for energy accumulation, it constructs a dual detection logic of "frequency filtering - timing verification".

[0045] Furthermore, the tunable LC resonant unit and the pulse timing discriminator employ common-ground isolation technology in their circuit design. The analog signal path of the former is separated from the digital control module of the latter by a ferrite bead filter, reducing mutual interference. After the voltage signal amplified by the resonant unit is converted into DC energy by the rectifier bridge, the supercapacitor can only be charged through the switching transistor when the timing discriminator outputs a valid signal, forming a closed-loop control for energy capture. This design combines the frequency selectivity of the physical layer with the timing constraints of the logic layer, ensuring that the effective accumulation of wake-up energy only occurs during operation that conforms to the preset mode, thereby improving the system's anti-interference capability from a hardware perspective.

[0046] The advantage of this embodiment lies in its ability to directionally extract vibrational energy at specific frequencies through a tunable LC resonant unit. Combined with interval sequence detection by a pulse timing discriminator, this constructs an energy capture architecture that combines frequency selectivity and timing logic. This design utilizes the physical characteristics of LC resonance to filter environmental noise and eliminates invalid operations through timing logic, providing a stable and reliable energy input guarantee for power-off emergency wake-up, thus forming a hierarchical screening mechanism from signal reception to energy accumulation.

[0047] Example 5: To address the issues of energy stability and signal continuity of the wake-up module in a power-free environment, this example further optimizes the hardware architecture of the wake-up module. Through the collaborative design of the energy management unit and the state latch circuit, an emergency wake-up control system with both energy protection and signal retention functions is constructed to ensure effective unlocking operations are completed under limited energy conditions.

[0048] For reference Figure 6 The diagram showing charge accumulation and dynamic threshold is as follows: Figure 10 The diagram showing the relationship between energy consumption and power supply time illustrates that the energy management unit uses a supercapacitor as its core energy storage component. Its charging circuit incorporates a reverse blocking diode in series, with a selectable model being 1N4001. This diode's forward voltage drop is controlled to within 0.7V, and its reverse leakage current is less than 1μA. This ensures that during the wake-up process, when external energy input stops, the charge stored in the supercapacitor cannot flow back into the resonant energy capture circuit, preventing energy loss. It's important to understand that the supercapacitor's capacity is matched to the energy required for lock unlocking. Its charging process is monitored by a dynamic threshold module. When the accumulated charge exceeds a preset threshold, the system switches to a wake-up preparation state. The reverse blocking diode provides unidirectional conduction protection for this energy storage, ensuring that the energy is only used for the wake-up module's own consumption.

[0049] Furthermore, the core of the state latch circuit is a Schmitt trigger, such as the CD40106 chip. Its input is connected to the output signal of the pulse timing discriminator, and its output drives the subsequent unlocking circuit. Figure 6As shown, when a valid wake-up signal is input—that is, when the charge accumulation exceeds the dynamic threshold and the timing detection passes—the Schmitt trigger utilizes its hysteresis characteristic to convert a brief pulse signal into a high-level signal lasting 30 seconds. This timing parameter is determined by an external RC delay network; by adjusting the RC parameters, different signal holding durations can be achieved. It is understandable that the hysteresis voltage design of the Schmitt trigger effectively suppresses false triggering caused by voltage fluctuations, ensuring that the output signal remains stable during the slow decrease of the supercapacitor voltage.

[0050] Furthermore, the energy management unit and state latch circuit adopt a layered design in hardware layout: the supercapacitor is placed at the power input terminal of the lock body mainboard, reducing parasitic resistance through short-distance traces; the reverse blocking diode is installed adjacent to the supercapacitor to reduce loop inductance; the Schmitt trigger and RC delay network constitute an independent latch module, connected to the unlocking circuit through optocoupler isolation to avoid digital signal interference. This layout design combines the energy management requirements of analog circuits with the signal holding characteristics of digital circuits. In a power-off environment, when the energy stored in the supercapacitor reaches the wake-up threshold, the state latch circuit is immediately triggered and maintains a high-level signal for a sufficient duration to ensure that the unlocking circuit completes key verification and mechanical unlocking.

[0051] This embodiment achieves stable unidirectional energy storage through a combination of supercapacitors and reverse blocking diodes. By utilizing a Schmitt trigger and an RC network to construct a continuous signal output with hysteresis characteristics, it solves the problems of easy energy loss and signal interruption in power-free environments. This design, while ensuring the reliability of the wake-up module, achieves an optimized balance between energy utilization efficiency and signal retention time through hardware-level circuit layout and parameter configuration, providing stable power supply and control signal support for the emergency wake-up of the smart lock.

[0052] Example 6: To address the issue of wake-up matching accuracy caused by differences in user pressing habits, this example further refines the system's adaptive calibration mechanism. By constructing a dynamic learning process for pressing patterns, the parameters of the resonant energy capture circuit are optimized, forming a personalized matching model based on user behavior characteristics.

[0053] Specifically, after the user completes three correct press operations consecutively, the system automatically triggers the press mode self-learning calibration process. For example... Figure 2 As shown, a three-dimensional piezoelectric ceramic array integrated on the lock body surface collects vibration signals generated by pressing in real time. These signals are converted into digital signals by a 24-bit ADC and then input into the signal processing module of the microcontroller. It's important to understand that the signal processing module first extracts the frequency offset features of the signal through a short-time Fourier transform, i.e., the deviation between the actual pressing frequency and the initial preset frequency. Simultaneously, it uses a pressure-sensitive resistor network to obtain the distribution matrix of the pressing force on the lock body surface. Together, these two elements constitute a user-specific vibration signal feature vector.

[0054] Furthermore, the adaptive filter employs a least mean square algorithm architecture. Its input is a real-time acquired feature vector, and its output directly controls the center frequency and bandwidth parameters of the bandpass filter in the resonant energy capture circuit. The filter coefficients are updated according to the gradient descent criterion: when the standard deviation of the frequency offset after five consecutive presses is less than a preset threshold, the system determines that the user's pressing pattern is stabilizing. It then performs a weighted average of the current feature vector and historical calibration data to generate new filter configuration parameters, which are written to the digital potentiometer and programmable capacitor array via the SPI bus to dynamically adjust the equivalent parameters of the LC resonant unit, such as... Figure 4 , Figure 5 The LC resonant circuit topology and frequency response characteristics are shown. It is understandable that this self-learning mechanism can adapt to subtle differences in the pressure and frequency of different users. For example, for elderly users whose pressure frequency is lower, the filter parameters will gradually shift towards lower frequencies to ensure the frequency matching between the resonant circuit and the actual input signal.

[0055] Furthermore, the self-learning process employs dual triggering conditions to prevent parameter oscillations: first, the number of consecutive correct inputs reaches a preset value; second, the interval between two calibrations is no less than a specific duration. Calibration data is stored in the lock body's non-volatile memory, ensuring that the user's personalized model is retained even after power failure. When an external vibration signal is input, the updated bandpass filter not only selectively amplifies the preset frequency but also adjusts the energy capture sensitivity threshold based on the force distribution characteristics obtained through self-learning, forming a dual adaptive matching across both spatial and frequency dimensions.

[0056] This embodiment constructs a dynamic calibration mechanism for the pressing mode by real-time acquisition of vibration signal characteristics and parameter updates of the adaptive filter. This enables the frequency response characteristics of the resonant energy capture circuit to be dynamically adjusted according to user behavior characteristics. Without user intervention, the wake-up module can be upgraded from preset matching to personalized matching, enhancing the wake-up adaptability of the smart lock in different usage scenarios.

[0057] Example 7: To address the security issue of unlocking commands during power-off emergency wake-up, this example optimizes the generation path of unlocking commands and implements a dual verification mechanism to cross-verify behavioral and hardware characteristics, ensuring the legitimacy of the wake-up operation and the uniqueness of the unlocking command.

[0058] The generation of the unlock command involves two independent verification steps: The first step is frequency characteristic verification of the press mode: When the resonant energy capture circuit detects a vibration signal that conforms to the preset frequency range, and after verification by the interval sequence of the pulse timing discriminator, the system extracts the frequency characteristic parameters of the signal, including the center frequency and harmonic components, and performs Euclidean distance matching with the legitimate frequency template stored in the lock body security chip. Only when the matching degree is higher than a preset threshold is the physical feature code verification of the second step triggered. It should be understood that this step, by associating the frequency characteristic verification with the tuning parameters of the resonant energy capture circuit, forms a dual frequency constraint at the hardware and algorithm levels, improving the security of single frequency matching.

[0059] Furthermore, the second step involves the matching and verification of the emergency key's hash value against the lock body's mechanical feature code. The tooth pitch deviation sequence caused by mold errors during the lock body gear assembly's manufacturing process is collected by a high-precision encoder and generates a unique physical feature code. This feature code is written into the security chip and permanently stored when the lock body leaves the factory. Figure 8 The security key generation logic is shown below. When the user enters an emergency key, the system first performs a hash operation on the key to generate a fixed-length hash value. Then, a specific length portion of this hash value is XORed bit by bit with the stored physical key identifier. The unlocking command is only activated when the XOR result is all zeros. This design leverages the non-replicable nature of machining errors to ensure that the key identifier of each lock body is unique and cannot be obtained through software simulation or remote attacks.

[0060] Furthermore, the dual verification mechanism employs an isolated design in its hardware implementation: the frequency feature verification module is integrated into the analog front end of the wake-up circuit, while the physical feature code verification module is encapsulated in a separate security chip. The two are connected via an encrypted bus to prevent data tampering in the intermediate stages. During the verification process, the input path of the emergency key undergoes electromagnetic shielding to prevent side-channel attacks; if any verification fails, the system immediately enters a locked state, increasing the time cost of brute-force attacks.

[0061] This embodiment combines frequency feature verification of the pressing mode with physical feature codes of the lock body's mechanical structure to construct a dual verification system of "behavioral features - hardware features". It uses dynamic behavioral features for preliminary screening and achieves final identity authentication through non-replicable physical characteristics. In power-off emergency scenarios, it provides multi-layered security protection for smart locks and ensures the reliability and anti-attack capability of the unlocking command generation process.

[0062] Example 8: To address the safety protection issue of abnormal pressure input during emergency wake-up in the absence of power, this example further refines the pressure distribution monitoring mechanism of the pressing area. Through the linkage control of a piezoresistive thin-film sensor and a resonant energy capture circuit, a brute-force attack defense system based on grip characteristics is constructed.

[0063] like Figure 2 As shown, the three-dimensional piezoelectric ceramic array on the lock body surface is covered with a micrometer-thick piezoresistive thin-film sensor. This sensor uses a bridge circuit layout and can collect the pressure distribution matrix of the lock handle and panel area in real time during pressing operations. It's important to understand that the preset handle grip features are pre-trained using a machine learning algorithm, including the location coordinates of pressure concentration areas, pressure gradient change rate, and other feature parameters, and are stored in the wake-up module's local memory. When the user presses the button, the sensor converts the pressure signal into a voltage signal, which is amplified by the signal conditioning circuit and input to the microcontroller's feature matching unit. A dynamic time warping algorithm is then used to calculate the similarity between the voltage signal and the preset grip features.

[0064] When the system detects that the pressure distribution does not conform to preset characteristics, such as the pressure concentration area deviating from the handle body or the pressure gradient change rate exceeding a safety threshold, it determines this as abnormal pressing behavior and immediately triggers the anti-brute-force mode of the resonance energy capture circuit. Figure 9 As shown. Understandably, this mode dynamically adjusts the equivalent impedance parameter of the LC resonant circuit via a digital potentiometer, temporarily raising the wake-up threshold so that the energy harvesting module only responds to vibration signals with amplitudes higher than normal. Furthermore, during the anti-brute-force attack mode activation, the piezoresistive thin-film sensor continuously monitors the pressure distribution at a higher sampling frequency, while the microcontroller sends a warning signal to the lock body security chip via an encrypted bus, providing a behavioral anomaly marker for subsequent physical signature verification.

[0065] This embodiment achieves spatial dimension feature verification of pressing operation through the coordinated operation of a piezoresistive thin-film sensor and a resonant energy capture circuit. Without affecting normal user operation, it effectively suppresses attack behaviors such as violent knocking and abnormal pressing, and enhances the security of the smart lock's emergency wake-up process when it is out of power.

[0066] Example 9: To address the coordination issue between overvoltage risk and low power consumption requirements in supercapacitor energy management, this example further optimizes the energy regulation mechanism of the wake-up module. By combining the bleed resistor with pulse width modulation technology, a balance between the stability and endurance of the emergency power supply system is achieved.

[0067] like Figure 6 As shown, when the remaining charge of the supercapacitor energy storage module exceeds the wake-up threshold, the energy management circuit automatically activates the discharge resistor circuit to release excess energy as heat, preventing overvoltage damage to the precision components in the wake-up module. It's important to understand that the wake-up threshold is determined through prior calibration and matches the minimum operating voltage of the resonant energy capture circuit, ensuring that the energy release process does not affect the normal wake-up function. When the remaining charge falls below 50% of the wake-up threshold, the system triggers a low-frequency operating mode, reducing the operating frequency of each functional unit in the wake-up module through pulse width modulation (PWM) technology.

[0068] Specifically, the PWM controller dynamically adjusts the clock signal duty cycle based on the real-time charge level. While ensuring the normal operation of core circuits such as piezoelectric ceramic signal acquisition and LC resonant frequency tuning, it extends the activation cycle of non-critical modules such as status indicator lights and wireless communication units. This hierarchical control strategy, through the collaboration of hardware circuits and software algorithms, prioritizes the lowest power consumption operation of the wake-up function when charge is insufficient, avoiding emergency unlocking failure due to energy depletion. Furthermore, during energy management, the microcontroller records the charge level change curve in real time and predicts the remaining power supply time using an adaptive filter, providing users with potential power level warnings.

[0069] This embodiment constructs a bidirectional regulation mechanism for supercapacitor energy by organically combining a bleed resistor and PWM technology. This not only prevents the risk of overvoltage damage, but also extends the emergency power supply time through dynamic frequency adjustment in low power scenarios, thereby improving the environmental adaptability of the smart lock's power-off wake-up system.

[0070] Example 10: To realize the hardware implementation of the smart lock power-off emergency wake-up method based on energy pulse resonance, this example provides an integrated smart lock power-off emergency wake-up system based on energy pulse resonance. Through the collaborative design of multi-dimensional energy coupling, resonance coding recognition, ultra-low power wake-up and security key interaction unit, a full-link emergency wake-up architecture is constructed.

[0071] like Figure 2 As shown, the multidimensional energy coupling unit includes an orthogonally polarized three-dimensional piezoelectric ceramic array and a charge amplification circuit. Its layout covers the main stress areas of the lock handle and panel, converting the mechanical vibration energy generated by the user's press into a high-frequency pulse electrical signal. It is important to understand that the piezoelectric ceramic sheet uses a combination of longitudinal and transverse polarization to sensitively detect stress components in different directions. After processing by the charge amplification circuit, the signal is output to the resonance coding recognition unit.

[0072] Furthermore, such as Figure 4 , 5 As shown, the resonance coding recognition unit integrates a tunable LC resonant circuit and a pulse timing discriminator. The center frequency of the former is dynamically adjusted via a digital potentiometer and a programmable capacitor array, enabling it to match the characteristic frequencies of different user pressing modes. The latter analyzes the time interval sequence of the pressing signal to verify whether it conforms to preset coding rules, ensuring the legitimacy of the wake-up operation. It is understandable that, as... Figure 4 As shown, the frequency response characteristics of the LC resonant circuit match the electromechanical coupling characteristics of the piezoelectric ceramic, forming a dual filtering effect of energy capture and signal screening.

[0073] Furthermore, the ultra-low power wake-up unit includes an adiabatic logic wake-up circuit and a supercapacitor energy storage module. The adiabatic circuit employs a customized CMOS process design, with dynamic power consumption during wake-up strictly controlled below 50μW, ensuring minimal impact of static current on the energy storage module. The supercapacitor module activates upon detecting a valid wake-up signal, providing at least 30 seconds of emergency power to meet the energy requirements of unlock command processing and mechanical drive mechanisms. Figure 10 The relationship between energy consumption and power supply time is shown.

[0074] Furthermore, the security key interaction unit includes a fuse-type OTP memory and a hardware obfuscation circuit. The former stores an emergency key bound to the user's pressing mode at the factory, possessing one-time programming characteristics to prevent the key from being tampered with or read. The latter dynamically changes the key during the unlocking process, achieving real-time key obfuscation through hardware logic circuitry to ensure the uniqueness and unpredictability of instructions transmitted to the lock body drive mechanism, such as... Figure 8 The security key generation logic is shown.

[0075] This embodiment achieves full-process hardware support from energy harvesting, signal recognition, power consumption control to security verification through the modular design and collaborative work of multiple functional units. It provides a reliable physical carrier for the emergency wake-up method of smart locks when there is no power, and ensures that the technical features of each link are effectively implemented in the actual system.

[0076] Although the present invention has been specifically described above with reference to preferred embodiments, it should be understood that the present invention is not limited to the embodiments described above. Various modifications and variations can be made by those skilled in the art without departing from the spirit of the present invention, and such modifications and variations should fall within the scope defined by the appended claims and their equivalents.

Claims

1. A method for emergency wake-up of a smart lock in the event of power failure based on energy pulse resonance, characterized in that, Includes the following steps: A three-dimensional piezoelectric ceramic array is deployed on the surface of the lock body to convert the user's pressing action on the handle into a high-frequency pulse electrical signal. The polarization direction of the piezoelectric ceramic array is orthogonal to the main force direction of the lock body, forming a spatial multidimensional vibration energy capture structure. The high-frequency pulse electrical signal is subjected to joint time-frequency domain analysis by a preset resonant energy capture circuit, and only responds to the resonant energy accumulation triggered by the user-defined press mode encoding. The center frequency of the bandpass filter of the resonant energy capture circuit can be dynamically tuned according to the press mode. When the amount of charge accumulated in the resonant energy capture circuit reaches the dynamic threshold, the wake-up module of the thermal insulation logic is activated. The wake-up module provides temporary power to the lock body control unit through the energy cache circuit within 30 seconds. After the wake-up module is activated, it directly retrieves the emergency hash key generated based on the pressing mode from the storage unit. After the key is dynamically transformed by the hardware obfuscation circuit, it drives the mechanical structure of the lock body to complete the emergency unlocking without battery. The temporary power supply cache is automatically cleared after each unlocking.

2. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, The three-dimensional piezoelectric ceramic array includes six groups of piezoelectric ceramic sheets distributed along the X / Y / Z axes. Three groups of longitudinally polarized ceramic sheets are deployed in the handle grip area, and three groups of transversely sheared ceramic sheets are deployed in the panel area. The output terminals of each group of ceramic sheets are connected in parallel to the resonant energy capture circuit through charge amplifiers. The gain coefficient of the charge amplifiers is dynamically adjusted according to the pressing area.

3. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, The pressing pattern encoding includes time-domain feature parameters and frequency-domain feature parameters: the time-domain feature parameters are the time sequences (t1, t2) of two adjacent pressings, where t1∈[50ms, 150ms] and t2∈[200ms, 300ms]; the frequency-domain feature parameters are that the energy proportion of the pressing vibration signal in the 80Hz~150Hz frequency band is ≥70%, and the pressing pattern encoding is bound to the emergency hash key generation factor through an asymmetric encryption algorithm.

4. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, The resonant energy capture circuit includes a tunable LC resonant unit and a pulse timing discriminator: the capacitance value of the tunable LC resonant unit is dynamically configured by a digital potentiometer based on the user-preset pressing frequency to achieve selective amplification of specific frequency signals; the pulse timing discriminator records the time interval of continuous pressing through a shift register, and triggers the energy accumulator to start working only when a preset interval sequence is detected.

5. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, The wake-up module includes an energy management unit and a state latching circuit: the energy management unit uses a supercapacitor as a temporary energy storage element, and its charging current path is equipped with a reverse blocking diode to prevent energy backflow during the wake-up process; after detecting a valid wake-up signal, the state latching circuit outputs a high-level signal for 30 seconds through a Schmitt trigger to drive the subsequent unlocking circuit to work.

6. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, It also includes a self-learning calibration step for the pressing mode: after the user inputs the correct pressing mode multiple times in a row, the system automatically collects the vibration signal characteristics of the current pressing, including frequency offset and force distribution, and updates the bandpass filter parameters of the resonant energy capture circuit through an adaptive filter to form a personalized pressing mode matching model.

7. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, The unlock command generation path is equipped with a dual verification mechanism: the wake-up legitimacy is verified by the frequency characteristics of the pressing mode, and the hash value of the emergency hash key is matched with the physical feature code of the lock body mechanical structure. The physical feature code is a unique ID formed by the machining error of the lock body gear set.

8. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 1, characterized in that, The surface of the piezoelectric ceramic array is covered with a piezoresistive thin-film sensor for real-time detection of the pressure distribution in the pressing area. When the pressure distribution does not conform to the preset handle grip characteristics, the resonant energy capture circuit enters the anti-brute-force mode and temporarily increases the wake-up threshold.

9. The method for emergency wake-up of a smart lock based on energy pulse resonance as described in claim 5, characterized in that, When the remaining charge of the supercapacitor is higher than the wake-up threshold, the excess energy is released through the discharge resistor to prevent overvoltage damage to the wake-up module; when the remaining charge is lower than 50% of the wake-up threshold, the operating frequency of the wake-up module is reduced by pulse width modulation to extend the emergency power supply time.

10. A smart lock power-out emergency wake-up system based on energy pulse resonance, used to implement the smart lock power-out emergency wake-up method based on energy pulse resonance as described in any one of claims 1-9, characterized in that, include: The multidimensional energy coupling unit includes an orthogonally polarized three-dimensional piezoelectric ceramic array and a charge amplification circuit, which is used to convert the mechanical vibration energy generated by user operation into a recognizable high-frequency pulse electrical signal. The layout of the piezoelectric ceramic array covers the main force-bearing areas of the lock handle and panel. The resonance coding identification unit includes a tunable LC resonant circuit and a pulse timing discriminator. The center frequency of the LC resonant circuit can be dynamically adjusted according to the user's preset pressing mode. The timing discriminator is used to verify whether the pressing interval sequence conforms to the preset coding rules. The ultra-low power wake-up unit includes an adiabatic logic wake-up circuit and a supercapacitor energy storage module. The dynamic power consumption of the adiabatic logic wake-up circuit during wake-up is ≤50μW, and the supercapacitor energy storage module provides 30 seconds of emergency power supply to the system after activation. The security key interaction unit includes a fuse-type OTP memory and a hardware obfuscation circuit. The OTP memory is used to store an emergency hash key bound to the press mode. The hardware obfuscation circuit dynamically transforms the key during unlocking and outputs it to the lock body drive mechanism.

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