Safety interlocking system based on multiple encryption and radio frequency technology and working method thereof

Abstract

The invention relates to the technical field of safety locks, and discloses a safety interlocking system based on multiple encryption and radio frequency technology and a working method thereof, and the system comprises a risk assessment module, a self-adaptive encryption module, a safety control module, an execution feedback module and a communication scheduling module. The method corresponds to the system. According to the method and the device, a dynamic risk assessment and multi-encryption cooperation mechanism is established, so that the radio frequency lock is converted from passive protection to active safety, the safety strategy can be dynamically adjusted according to the real-time risk in the implementation process, external attacks are effectively resisted, and the communication reliability is ensured; and through closed-loop monitoring and control of the execution state, the coping capacity of the lock under the abnormal working condition is improved, the integrated intelligent safety architecture enables the lock to still keep high safety and reliability under the complex use environment, and effective guarantee is provided for improvement of the safety performance of the radio frequency lock.

Description

Technical Field

[0001] This invention relates to the field of security lock technology, specifically a security interlocking system and its working method based on multiple encryption and radio frequency technology. Background Technology

[0002] As a fundamental security device, locks' reliability directly impacts personal and property safety. With the development of smart technology, electronic locks based on radio frequency identification (RFID) technology have become widely used due to their convenience, but the associated security issues are also becoming increasingly prominent. The wireless communication links of these locks are susceptible to environmental interference and malicious attacks, and traditional static encryption methods are insufficient to cope with complex and ever-changing real-world usage scenarios. Furthermore, existing RFID locks generally lack effective monitoring of mechanical operation status. When abnormalities such as mechanical jamming or drive failure occur, the system cannot autonomously detect and make corresponding adjustments, posing security risks.

[0003] Therefore, how to improve the active security protection and fault response capabilities of locks while ensuring convenience has become a key issue that urgently needs to be addressed in the current development of radio frequency lock technology. Summary of the Invention

[0004] The purpose of this invention is to provide a security interlocking system and its working method based on multiple encryption and radio frequency technology, so as to solve the technical problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention discloses the following technical solutions: In a first aspect, the present invention discloses a security interlocking system based on multiple encryption and radio frequency technology, the system comprising: The risk assessment module is used to assess the security risk level of the interlocking system in real time by analyzing the signal characteristics and authentication process parameters in the radio frequency communication link. An adaptive encryption module, connected to the risk assessment module, is used to dynamically configure a collaborative encryption strategy of physical layer encryption and application layer encryption according to the security risk level. The security control module, connected to the risk assessment module and the adaptive encryption module, is used to generate a lock control command based on the security risk level and the result of encryption verification through a preset multi-level judgment mechanism. The execution feedback module is connected to the security control module and includes a lock driving unit and a status detection unit. The lock driving unit is used to respond to and execute the lock control command to drive the lock to perform opening and closing actions. The status detection unit is used to collect multi-dimensional status information of the lock driving unit during the execution process and feed the multi-dimensional status information back to the security control module. The communication scheduling module, in conjunction with the risk assessment module and the adaptive encryption module, is used to dynamically allocate radio frequency communication resources according to the security risk level. When the security control module receives the multi-dimensional status information, it updates the lock control command in real time according to the multi-level judgment mechanism.

[0006] In one optional implementation, the multi-level judgment mechanism includes: The initial decision-making logic, based on the security risk level and encryption verification result, outputs the initial lock control command; The status verification logic receives and analyzes the multi-dimensional status information in real time during instruction execution, and compares it with the expected status model under the current security risk level in real time. The instruction update logic is triggered when the real-time comparison result exceeds a preset tolerance, and the locking instruction is corrected or terminated. The correction includes generating a new locking instruction to change the movement trajectory or force of the lock drive unit; the termination includes generating a locking instruction to stop execution.

[0007] In one optional implementation, the state verification logic compares the multi-dimensional state information with the expected state model in real time in the following ways: The drive current waveform of the lock drive unit is subjected to feature extraction to obtain current features, which include current rise slope, peak current value and steady-state current value. The degree of matching between the extracted current features and the standard current feature range stored in the expected state model is calculated. When the matching degree is lower than a preset threshold, the lock drive unit is determined to be abnormal.

[0008] In one alternative implementation, the instruction update logic executes the following strategy based on the security risk level: If the lock drive unit is determined to be abnormal at a low risk level, the lock control command will be retried. At the medium risk level, if the lock drive unit is determined to be abnormal, the current lock control command is suspended and a lock control command is generated to activate the backup drive mechanism in the lock drive unit. In high-risk situations, if the lock drive unit is determined to be abnormal, all lock control commands are suspended and a system lock signal is generated, while an alarm message is sent to the higher-level security platform.

[0009] In one optional embodiment, the lock drive unit is provided with a main drive mechanism and at least one type of backup drive mechanism; when the main drive mechanism is determined to be faulty, the safety control module generates a lock control command pointing to the corresponding backup drive mechanism to take over or assist in completing the current lock control operation.

[0010] In one optional implementation, the physical layer encryption includes low-level encryption of the carrier signal, modulation scheme, or physical layer frame of the radio frequency communication; the application layer encryption includes encryption of application layer data transmitted via radio frequency communication, the application layer data including authentication data, locking commands, and status information.

[0011] In one alternative implementation, the collaborative encryption strategy includes: At low risk levels, the physical layer encryption and the application layer encryption operate independently. At the medium-risk level, the linkage mechanism of the initial vector of the chaotic system encrypted by the physical layer is activated, which is derived from the application layer session key; At high-risk levels, a joint encryption mechanism that deeply nests the application layer data and the physical layer frame is enabled.

[0012] In one alternative implementation, the joint encryption mechanism includes: The encrypted application layer data is divided into multiple data blocks; Each of the data blocks is embedded into the payload area of ​​the physical layer frame; Add a joint check field associated with the application layer data checksum to the frame header of the physical layer frame; The physical layer frames embedding the application layer data are encrypted a second time using a cascaded chaotic sequence.

[0013] In one optional embodiment, the multi-dimensional state information includes at least: the displacement signal sequence of the locking pin in the lock drive unit, the mechanical vibration spectrum characteristics of the lock drive unit, and the instantaneous waveforms of the current and voltage of the lock drive unit; The state detection unit is configured to perform data fusion processing on the displacement signal sequence, the mechanical vibration spectrum characteristics, and the instantaneous waveforms of the current and voltage to generate a comprehensive state assessment index for the safety control module to perform state verification.

[0014] Secondly, this application discloses a working method for a security interlocking system based on multiple encryption and radio frequency technology as described above, the method comprising: Risk assessment steps: By analyzing the signal characteristics and authentication process parameters in the radio frequency communication link, the security risk level of the interlocking system is assessed in real time; Adaptive encryption steps: Based on the security risk level, dynamically configure a collaborative encryption strategy for physical layer encryption and application layer encryption; Security control steps: Based on the security risk level and the result of encryption verification, an initial lock control command is generated through a preset multi-level judgment mechanism; Execution feedback steps: Respond to and execute the lock control command to drive the lock to perform opening and closing actions, and at the same time collect multi-dimensional status information during the execution process; Communication scheduling steps: Dynamically allocate radio frequency communication resources according to the security risk level; Instruction update steps: Based on the multi-dimensional state information, the initial lock control instruction is updated in real time according to the multi-level judgment mechanism; Closed-loop execution steps: The updated lock control command is sent to the execution feedback step for execution, and new multi-dimensional status information is collected again to trigger the command update step again.

[0015] Beneficial Effects: The security interlocking system and its working method based on multiple encryption and radio frequency (RF) technology of this invention realize the transformation of RF locks from passive protection to active security by establishing a collaborative mechanism of dynamic risk assessment and multiple encryption. In implementation, it can dynamically adjust security strategies according to real-time risks, effectively resisting external attacks while ensuring communication reliability. Furthermore, through closed-loop monitoring and control of the execution status, it enhances the lock's ability to cope with abnormal operating conditions. This integrated intelligent security architecture enables the lock to maintain a high level of security and reliability even in complex usage environments, providing an effective guarantee for improving the security performance of RF locks. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a structural block diagram of a security interlocking system based on multiple encryption and radio frequency technology provided in an embodiment of this application. Detailed Implementation

[0018] To facilitate understanding of the technical solutions provided in the embodiments of this application, the background technology involved in the embodiments of this application will be described below.

[0019] As a fundamental security device, locks' reliability directly impacts personal and property safety. With the development of smart technology, electronic locks based on radio frequency identification (RFID) technology have become widely used due to their convenience, but the associated security issues are increasingly prominent. The wireless communication links of these locks are susceptible to environmental interference and malicious attacks, and traditional static encryption methods are insufficient to handle complex and ever-changing real-world usage scenarios. Furthermore, existing RFID locks generally lack effective monitoring of mechanical execution status. When abnormalities such as mechanical jamming or drive failure occur, the system cannot autonomously detect and make corresponding adjustments, posing security risks. Specifically, existing technology suffers from the following core defects: 1. Passive communication security: Radio frequency communication is vulnerable to eavesdropping, interference or replay attacks, while traditional encryption strategies are fixed and cannot be dynamically adjusted according to real-time risks; 2. Lack of status monitoring: The working status of the lock drive mechanism (such as jamming or overload) cannot be detected in real time, causing the system to continue to execute the original instructions under abnormal conditions, which may lead to malfunctions or security vulnerabilities. 3. Rigid fault response: The system lacks a real-time status-based instruction correction mechanism. Once the driver malfunctions, it can only simply stop or repeat the operation, which cannot adapt to complex working conditions.

[0020] To address the aforementioned issues, this application provides a security interlocking system based on multiple encryption and radio frequency technology.

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application. Secondly, in this document, the term "comprising" is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0022] The security interlocking system based on multiple encryption and radio frequency technology in this embodiment, such as Figure 1 As shown, it includes a risk assessment module, an adaptive encryption module, a security control module, an execution feedback module, and a communication scheduling module.

[0023] The risk assessment module is used to evaluate the security risk level of the interlocking system in real time by analyzing the signal characteristics and authentication process parameters in the radio frequency communication link, thereby realizing the quantitative perception of the communication security status and providing an accurate basis for dynamic security strategies.

[0024] In one specific implementation, the risk assessment module uses an AD9361 integrated radio frequency transceiver to collect signal strength (RSSI), signal-to-noise ratio (SNR), and bit error rate (BER). Simultaneously, it obtains the number of authentication failures and authentication delay parameters through the recording unit of the security control module. An STM32F407 microcontroller runs an evaluation algorithm based on Mamdani fuzzy logic, with RSSI, SNR, BER, and the number of authentication failures as input variables. Using a preset membership function and rule base, it outputs low, medium, and high security risk levels in real time.

[0025] In a more specific implementation, the risk assessment module uses an improved Mamdani-type fuzzy logic assessment algorithm to output the security risk level in real time. The formula for calculating the security risk level is as follows: in: Indicates the safety risk level (a continuous value that can be mapped to low, medium, and high levels); To represent the total number of fuzzy rules; Let represent the activation degree of the i-th fuzzy rule, calculated as ； This represents the center value of the fuzzy set output by the i-th rule (e.g., the low-risk correspondence). Medium risk corresponds to High risk correspondence =1); The dynamic weight of the i-th rule is calculated as follows: ,in It is the information entropy of the input variables involved in the i-th rule. It is the probability distribution of input variables (such as RSSI, SNR, BER, number of authentication failures) within a time window; , , , These represent the input variables RSSI(R), SNR(S), BER(B), and the number of authentication failures, respectively. The membership degree of the corresponding fuzzy set.

[0026] The aforementioned formula for calculating security risk levels, through dynamic weighting, can automatically identify the degree of parameter fluctuation, allowing the risk level judgment to adjust in real time according to the environment. Secondly, the output risk level is very accurate, enabling precise linkage between modules such as adaptive encryption, communication scheduling, and security control, thus avoiding wasted resources and security vulnerabilities caused by inaccurate identification. In addition, in complex scenarios with interference or attacks (such as interference from many devices in an industrial site, or malicious attacks on the authentication process), it can quickly detect situations where multiple parameters are abnormal at the same time (such as low SNR + many authentication failures), promptly determine high risk, and implement system locking and alarm strategies to effectively resist interference and attacks, ensuring that the interlocking system does not malfunction in complex environments.

[0027] The adaptive encryption module connects to the risk assessment module and is used to dynamically configure the collaborative encryption strategy of physical layer encryption and application layer encryption according to the security risk level, thereby establishing a dynamic matching mechanism between encryption strength and threat level and achieving a balance between security and resource consumption.

[0028] In one possible implementation, the adaptive encryption module uses the ATECC608A security chip as the hardware platform. The physical layer encryption includes low-level encryption of the carrier signal, modulation scheme, or physical layer frame of the radio frequency communication, such as using the Lorenz chaotic system to generate a sequence to perturb the phase of the QPSK modulated signal and encrypting the IEEE 802.15.4 physical layer frame with AES-128. The application layer encryption includes encryption of the application layer data transmitted via radio frequency communication. The application layer data includes authentication data, locking instructions, and status information, such as encrypting the authentication data and locking instructions with RSA-2048.

[0029] The security control module connects the risk assessment module and the adaptive encryption module. It generates lock control commands based on the security risk level and the results of encryption verification through a preset multi-level judgment mechanism. In addition, when the module receives multi-dimensional status information from the execution feedback module, it updates the lock control commands in real time according to the multi-level judgment mechanism, thereby realizing intelligent decision-making based on real-time status and improving the system's fault tolerance.

[0030] In one possible implementation, the security control module uses an STM32H743 microprocessor and implements a multi-level judgment mechanism through software. In another specific implementation, the multi-level judgment mechanism includes initial decision logic, status verification logic, and instruction update logic to address the problems of rigid instructions and inability to adapt to execution anomalies in traditional systems.

[0031] The initial decision-making logic is based on the security risk level and encryption verification results, outputting the initial locking command to ensure the security and feasibility of the initial command. Specifically, this is achieved by querying a policy table pre-stored in the STM32H743 Flash memory. Example content includes: when the risk level is low and encryption verification passes, outputting the command "Drive main electromagnetic mechanism, stroke 10mm"; when the risk level is medium, outputting the restrictive command "Drive main electromagnetic mechanism, stroke 5mm".

[0032] During instruction execution, the status verification logic receives and analyzes multi-dimensional status information in real time, and compares it with the expected status model under the current safety risk level in real time, thereby achieving an accurate assessment of the working status of the drive mechanism. The real-time comparison method includes: extracting features from the drive current waveform of the lock drive unit to obtain current features, including the current rise slope, peak current value, and steady-state current value; calculating the matching degree between the extracted current features and the standard current feature range stored in the expected status model; and determining that the lock drive unit is abnormal when the matching degree is lower than a preset threshold. The specific implementation includes: acquiring the drive current waveform at a sampling rate of 10kHz using an ACS712 Hall sensor; calculating the current rise slope using a sliding window FFT (window length 256 points, overlap 128 points); obtaining the peak current using a peak detection algorithm; calculating the average current value during the current steady-state phase (100-200ms after the command is issued); and calculating the Euclidean distance matching degree between the extracted features and the standard range stored in the expected state model (example: normal unlocking current rise slope 50-100A / s, peak current 1.2±0.1A).

[0033] In a more specific implementation, to consider the correlation between features and improve the robustness of anomaly detection, the state verification logic analyzes the drive current waveform of the lock drive unit, extracts features, and compares them with the expected state model. The current feature matching degree is calculated using the following formula during the comparison: in, This indicates the current characteristic matching degree (range [0,1]), and an anomaly is determined when M < 0.8; It is the actual extracted feature vector, where These represent the current rise slope, peak current value, and steady-state current value, respectively. These are the standard feature vectors in the expected state model; It is the covariance matrix of the eigenvectors, estimated using historical normal data, reflecting the correlation between features; Indicates transpose. This represents the inverse of the covariance matrix.

[0034] Furthermore, the expected state model can be constructed in any of the existing technologies, such as any of the following: Based on a large amount of current characteristic data under normal operating conditions, the sample mean vector is directly calculated as... The sample covariance matrix is ​​used as ; A Gaussian mixture model (GMM) was used to fit the normal current characteristic data, with the mean and covariance parameters of the model as... and ; The normal data is clustered using the K-means clustering algorithm, with each cluster center as the index. Candidates, in-cluster sample covariance is .

[0035] Therefore, by considering the correlation between current characteristics (slope, peak value, steady state) through this formula, it is possible to effectively distinguish between normal fluctuations (such as small current changes caused by temperature variations) and real anomalies (such as multi-feature synchronous anomalies caused by mechanical jamming), ensuring that the state verification logic accurately determines whether the lock drive unit is abnormal. Secondly, the expected state model built based on historical normal data can adapt to complex operating conditions such as long-term aging of the lock and changes in ambient temperature, maintaining the accuracy of anomaly detection even if the operating conditions change. In addition, the output matching degree provides a reliable basis for the safety control module. Normal instructions are executed at the same time. The system can trigger abnormal response mechanisms (such as activating backup drives or system alarms) to ensure that the interlocking system responds safely to mechanical abnormalities and operates stably under normal conditions.

[0036] The instruction update logic is triggered when the real-time comparison result exceeds the preset tolerance (matching degree < 0.8), and the locking instruction is corrected or terminated.

[0037] Furthermore, in one specific implementation, the instruction update logic executes differentiated strategies based on the security risk level to address the problem of rigid fault response in traditional systems.

[0038] At low-risk levels, if the lock drive unit is determined to be abnormal, a retry of the lock control command is triggered to address occasional anomalies caused by transient interference. Specifically, when the status verification logic detects an anomaly, the security control module resends the same lock control command, retrying a maximum of 3 times with a 100ms interval between each retry.

[0039] At the medium-risk level, if the lock drive unit is determined to be abnormal, the current lock control command is suspended and a lock control command is generated to activate the backup drive mechanism within the lock drive unit, thereby ensuring operational continuity through component redundancy. Specifically, the power supply to the main electromagnetic drive mechanism is immediately stopped, and a drive command is sent to the redundant electromagnetic drive assembly. This command includes corrected action parameters (such as increasing the drive current by 10%).

[0040] Under high-risk conditions, if the lock drive unit is determined to be abnormal, all locking commands are suspended and a system locking signal is generated. Simultaneously, an alarm message is sent to the higher-level security platform to prevent the abnormality from escalating and ensure system security. Specifically, this involves cutting off power to all drive mechanisms and sending an alarm message containing a timestamp, abnormality type, and risk level to the monitoring center via the backup channel of the communication scheduling module.

[0041] The execution feedback module connects to the safety control module and includes a lock drive unit and a status detection unit. The lock drive unit responds to and executes lock control commands to drive the lock to perform opening and closing actions. The status detection unit collects multi-dimensional status information of the lock drive unit during execution and feeds this information back to the safety control module, thereby achieving a deep understanding of the lock's mechanical state and providing a data foundation for closed-loop control.

[0042] In one possible implementation, the lock drive unit consists of a main electromagnetic drive mechanism and redundant electromagnetic drive components.

[0043] In a more specific implementation, the lock drive unit includes a main drive mechanism and at least one type of backup drive mechanism. For example, a main electromagnetic drive mechanism (single-coil structure, rated current 1.2A) and a redundant electromagnetic drive assembly (dual-coil backup structure, rated current 1.5A) can be used. During lock operation, the main electromagnetic drive mechanism is used by default to execute lock commands. When the status verification logic determines that the main mechanism has failed through current characteristic analysis, a drive command pointing to the redundant assembly is immediately generated, thereby improving the system's fault tolerance and reliability. That is, during a lock operation, the main electromagnetic drive mechanism is used by default to execute all lock commands. Throughout the operation, if the main electromagnetic drive mechanism is determined to have failed due to an abnormal current at any moment, a new lock command is generated to drive the redundant electromagnetic drive assembly, and the redundant electromagnetic drive assembly executes this newly generated lock command to continue the lock operation.

[0044] In one specific implementation, the state detection unit is used to address the problem of insufficient mechanical state perception in traditional systems. The multi-dimensional state information includes at least: the displacement signal sequence of the locking pin in the lock drive unit (acquired by a SCHAEVITZE100 series LVDT sensor), the mechanical vibration spectrum characteristics of the lock drive unit (acquired by an ADXL345 triaxial accelerometer), and the instantaneous current and voltage waveforms of the lock drive unit (acquired by an ACS712 sensor and a voltage divider circuit).

[0045] The state detection unit is configured to perform data fusion processing on the aforementioned multi-dimensional state information, thereby achieving a comprehensive and accurate assessment of the lock's working state and providing a reliable basis for safety control. Specifically, an STM32F103 microcontroller is used. The processing steps include: performing Kalman filtering on the displacement signal (state vector dimension 4, observation vector dimension 2); performing a 512-point FFT transform on the vibration signal to extract characteristic frequencies in the 10-1000Hz frequency band; calculating the effective value and harmonic distortion of the current and voltage waveforms (down to the 13th harmonic); and finally, using DS evidence theory to fuse the above features into a comprehensive state evaluation index between 0 and 1.

[0046] In a more specific implementation, the comprehensive state assessment index is calculated using the following formula: in, This represents the comprehensive status assessment index (range [0,1]), with a higher value indicating a more normal status. Represents a set of fuzzy elements, for example (in (Representation of the recognition framework). This is the trust function for focal element A in the DS evidence theory, calculated as follows: , It is the basic probability assignment (BPA), calculated using sensor data characteristics, such as displacement deviation d. Vibrational energy v Current harmonic distortion h ,in To adjust the parameters; The fuzzy membership degree of focal element A is defined as follows: ,in It is a state variable Membership function.

[0047] Therefore, this formula is used to calculate a comprehensive state assessment index, integrating multi-dimensional state information such as displacement, vibration, current, and voltage. This effectively handles the ambiguity (such as the normal / abnormal ambiguity boundary of displacement deviation) and uncertainty (such as sensor data fluctuations) of the data, avoiding the one-sidedness of single-dimensional judgment. Secondly, the generated comprehensive state assessment index provides a clear basis for the safety control module. The higher the value, the more normal the status, and the more likely normal commands can be executed; If the value is low, an abnormal response is triggered (such as correcting instructions or activating backup drives) to ensure the accuracy of the closed-loop control of the interlocking system. In addition, under complex working conditions such as displacement deviation, vibration energy change, and current harmonic distortion, the lock status is stably evaluated through fuzzy membership degree and the trust function of evidence theory to ensure the reliable operation of the interlocking system in a variable environment.

[0048] The communication scheduling module, in conjunction with the risk assessment module and the adaptive encryption module, dynamically allocates radio frequency communication resources based on the security risk level. This ensures reliable transmission of control commands in harsh environments and addresses the issue of insufficient reliability of fixed resource allocation in interference environments. Specifically, the implementation is based on the programmable logic of the AD9361 transceiver, dynamically scheduling 16 channels in the 2.4GHz band: low-risk channels use the default channel; medium-risk channels hop between five preset channels at 10Hz; and high-risk channels add three channels for redundant transmission.

[0049] In one specific implementation, collaborative encryption strategies need to address the problem that traditional encryption strategies cannot dynamically adapt to changes in threats.

[0050] At low-risk levels, physical layer encryption and application layer encryption operate independently, thereby reducing system power consumption while ensuring basic security. Specifically, the physical layer uses Lorenz chaotic encryption with a fixed initial vector, while the application layer uses RSA-2048 encryption; the two encryption layers are unrelated.

[0051] At the medium-risk level, a linkage mechanism is initiated where the initial vector of the physical layer encrypted chaotic system is derived from the application layer session key, thereby enhancing the correlation between the two encryption layers and improving overall security. Specifically, the current application layer session key is used to generate a 32-byte digest via SHA-256 hashing, and the first 12 bytes are used as the initial vector of the physical layer Lorenz chaotic system.

[0052] Under high-risk conditions, a joint encryption mechanism involving deep nesting of application layer data and physical layer frames is employed to enhance encryption depth and effectively resist high-intensity attacks. The specific implementation includes four steps: First, the RSA-encrypted application layer data is divided into 128-byte blocks; then, each block is embedded into the payload area of ​​the IEEE 802.15.4 physical layer frame; next, a 4-byte joint checksum field is added to the physical layer frame header, its value generated by XORing the CRC32 checksum of the application layer data with the physical layer frame sequence number; finally, the physical layer frame is further encrypted using a composite sequence generated by a cascaded Lorenz chaotic system.

[0053] This embodiment provides a second aspect of a working method for a security interlocking system based on multiple encryption and radio frequency technology as described above, the method comprising: Risk assessment steps: By analyzing the signal characteristics and authentication process parameters in the radio frequency communication link, the security risk level of the interlocking system is assessed in real time; Adaptive encryption steps: Dynamically configure a collaborative encryption strategy for physical layer encryption and application layer encryption based on the security risk level; Security control steps: Based on the security risk level and the result of encryption verification, an initial lock control command is generated through a preset multi-level judgment mechanism; Execution feedback steps: Respond to and execute lock control commands to drive the lock to perform opening and closing actions, while collecting multi-dimensional status information during the execution process; Communication scheduling steps: Dynamically allocate radio frequency communication resources according to the security risk level; Command update steps: Based on multi-dimensional status information, the initial lock control command is updated in real time according to a multi-level judgment mechanism; Closed-loop execution steps: The updated lock control command is sent to the execution feedback step for execution, and new multi-dimensional status information is collected again to trigger the command update step again.

[0054] It should be noted that the working method of the security interlocking system based on multiple encryption and radio frequency technology in this embodiment corresponds to the aforementioned security interlocking system based on multiple encryption and radio frequency technology. Therefore, the parts of the working method of the security interlocking system based on multiple encryption and radio frequency technology in this embodiment that are not specifically described (including but not limited to specific technical means and technical effects) can be referred to the relevant descriptions in the aforementioned security interlocking system based on multiple encryption and radio frequency technology, and will not be repeated here.

[0055] In the embodiments provided by this invention, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For hardware implementation, the processor can be implemented in one or more of the following: application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, other electronic units designed to implement the functions described herein, or combinations thereof. For software implementation, some or all of the processes of the embodiments can be performed by a computer program instructing the associated hardware. During implementation, the program can be stored in a computer-readable storage medium or transmitted as one or more instructions or code on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein communication media include any medium that facilitates the transmission of a computer program from one place to another. Storage media can be any available medium accessible to a computer. Computer-readable storage media can include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code having the form of instructions or data structures and accessible to a computer.

[0056] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A safety interlocking system based on multiple encryption and radio frequency technology, characterized in that, The system comprises: a risk assessment module for real-time assessment of the security risk level of the interlocking system by analyzing signal characteristics and authentication process parameters in the radio frequency communication link; an adaptive encryption module connected to the risk assessment module for dynamically configuring a cooperative encryption strategy of physical layer encryption and application layer encryption according to the security risk level; a security control module connected to the risk assessment module and the adaptive encryption module for generating lock control instructions through a preset multi-level judgment mechanism according to the security risk level and the result of encryption verification; an execution feedback module connected to the security control module, which includes a lock driving unit and a state detection unit, the lock driving unit being used to respond to and execute the lock control instructions to drive the lock to perform opening and closing actions, and the state detection unit being used to collect multi-dimensional state information of the lock driving unit during the execution process and feed back the multi-dimensional state information to the security control module; a communication scheduling module cooperating with the risk assessment module and the adaptive encryption module for dynamically allocating radio frequency communication resources according to the security risk level; wherein the security control module updates the lock control instructions in real time according to the multi-level judgment mechanism after receiving the multi-dimensional state information.

2. The safety interlock system based on multiple encryption and radio frequency technology according to claim 1, characterized in that, The multi-level judgment mechanism comprises: an initial decision logic for outputting an initial lock control instruction based on the security risk level and the encryption verification result; a state verification logic for receiving and analyzing the multi-dimensional state information in real time during instruction execution, and comparing it with an expected state model under the current security risk level in real time; an instruction update logic for being triggered to modify or suspend the lock control instruction when the real-time comparison result exceeds a preset tolerance; wherein the modification includes generating a new lock control instruction to change the action trajectory or force of the lock driving unit; and the suspension includes generating a lock control instruction for stopping execution.

3. The safety interlock system based on multiple encryption and radio frequency technology according to claim 2, characterized in that, The state verification logic compares the multi-dimensional state information with the expected state model in real time in the following manner: extracting features of the driving current waveform of the lock driving unit to obtain current features, including current rising slope, peak current value and steady-state current value; calculating the matching degree of the extracted current features with the standard current feature range stored in the expected state model; determining that the lock driving unit is abnormal when the matching degree is lower than a preset threshold.

4. The safety interlock system based on multiple encryption and radio frequency technology according to claim 2, wherein, The instruction update logic executes the following strategies according to the security risk level: under a low risk level, if it is determined that the lock driving unit is abnormal, the retry of the lock control instruction is triggered; under a medium risk level, if it is determined that the lock driving unit is abnormal, the current lock control instruction is suspended and a lock control instruction for activating a backup driving mechanism in the lock driving unit is generated; under a high risk level, if it is determined that the lock driving unit is abnormal, all lock control instructions are suspended and a system lock signal is generated, and an alarm information is sent to the upper-level security platform.

5. The safety interlock system based on multiple encryption and radio frequency technology according to claim 4, characterized in that, The lock driving unit is internally provided with a main driving mechanism and at least one type of backup driving mechanism; when the main driving mechanism is determined to be invalid, the safety control module generates a lock control instruction pointing to the corresponding backup driving mechanism to replace or assist in completing the current lock control operation.

6. The safety interlock system based on multiple encryption and radio frequency technology according to claim 1, wherein, The physical layer encryption includes underlying encryption of a carrier signal, a modulation mode or a physical layer frame of radio frequency communication; and the application layer encryption includes encryption of application layer data transmitted via radio frequency communication, the application layer data including identity authentication data, lock control instructions and state information.

7. The safety interlock system based on multiple encryption and radio frequency technology according to claim 6, characterized in that, The cooperative encryption strategy includes: In a low risk level, the physical layer encryption and the application layer encryption are independently operated; In a medium risk level, an initial vector of a chaos system of the physical layer encryption is derived by a linkage mechanism of an application layer session key; In a high risk level, a joint encryption mechanism of deeply nested application layer data and physical layer frames is enabled.

8. The safety interlock system based on multiple encryption and radio frequency technology according to claim 7, characterized in that, The joint encryption mechanism includes: The encrypted application layer data is divided into multiple data blocks; Each data block is embedded into a payload area of the physical layer frame; A joint check field associated with an application layer data check code is added in a frame header of the physical layer frame; The physical layer frame embedded with the application layer data is secondarily encrypted by a concatenated chaos sequence.

9. The safety interlock system based on multiple encryption and radio frequency technology according to claim 1, wherein, The multi-dimensional state information at least includes a displacement signal sequence of a lock pin in the lock driving unit, mechanical vibration spectrum characteristics of the lock driving unit, and current and voltage instantaneous waveforms of the lock driving unit; The state detection unit is configured to perform data fusion processing on the displacement signal sequence, the mechanical vibration spectrum characteristics and the current and voltage instantaneous waveforms to generate a comprehensive state evaluation index for state checking by the safety control module.

10. A method of operation for a safety interlocking system based on multiple encryption and radio frequency technology as claimed in any one of claims 1 to 9, characterized in that, The method includes: a risk assessment step of assessing a safety risk level of the interlocking system in real time by analyzing signal characteristics and authentication process parameters in a radio frequency communication link; an adaptive encryption step of dynamically configuring a cooperative encryption strategy of physical layer encryption and application layer encryption according to the safety risk level; a safety control step of generating an initial lock control instruction through a preset multi-level judgment mechanism according to the safety risk level and an encryption verification result; an execution feedback step of responding to and executing the lock control instruction to drive the lock to perform a lock switching action, while collecting multi-dimensional state information in an execution process; a communication scheduling step of dynamically allocating radio frequency communication resources according to the safety risk level; an instruction updating step of updating the initial lock control instruction in real time according to the multi-level judgment mechanism based on the multi-dimensional state information; a closed loop execution step of sending the updated lock control instruction to the execution feedback step for execution, and collecting new multi-dimensional state information again to trigger the instruction updating step again.

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