Beidou positioning terminal-oriented light sensing anti-disassembly data processing method and system

Abstract

The application provides a light sensing anti-disassembly data processing method and system for a Beidou positioning terminal. The method comprises the following steps: extracting a light sensing reference feature according to light sensing anti-disassembly associated data, and generating a light sensing sealing reference model; based on the real-time collected light sensing anti-disassembly associated data, the light sensing sealing reference model and the Beidou positioning state, a dynamic light sensing judgment boundary corresponding to the current running scene is generated; the current internal cavity light sensing change is matched with the dynamic light sensing judgment boundary, a light sensing abnormality representation is extracted, and when the light sensing abnormality representation meets a verification trigger condition, a light sensing verification sequence is generated and corresponding light sensing response data is collected; according to the response consistency between the light sensing response data and the light sensing sealing reference model, a disassembly risk representation is generated in combination with the light sensing abnormality representation, and a light sensing anti-disassembly data processing result containing a risk level and evidence chain data is output according to the disassembly risk representation. The application can improve the anti-disassembly identification accuracy, enhance the scene adaptability and improve the alarm reviewability.

Description

Technical Field

[0001] This application relates to the field of anti-tamper monitoring technology for Beidou positioning terminals, and in particular to a photosensitive anti-tamper data processing method and system for Beidou positioning terminals. Background Technology

[0002] With the increasing demands for location reliability in scenarios such as vehicle monitoring, logistics transportation, engineering equipment management, and important asset tracking, BeiDou positioning terminals are widely used to collect data such as positioning, trajectory, and operational status, and report the terminal status to the management platform via communication networks. To prevent the terminal from being illegally disassembled, moved, or obstructed, existing BeiDou positioning terminals are typically equipped with a light-sensitive anti-tamper structure, which determines whether the terminal is being opened or detached by detecting changes in light inside the terminal housing or in the mounting area.

[0003] Existing optical anti-tampering methods mostly rely on fixed light thresholds or simple light intensity change rules for judgment. When the photosensitive device detects that the light intensity exceeds the preset threshold, it triggers an anti-tampering alarm. This method is simple in structure and easy to deploy, but its judgment process mainly depends on single light sensor data and lacks comprehensive analysis of terminal installation status, changes in external light, BeiDou positioning status, and terminal operation status.

[0004] In practical use, the installation environment of BeiDou positioning terminals varies greatly. Vehicle movement, parking, maintenance, and entering or exiting dimly lit or brightly lit areas can all cause fluctuations in optical sensing data, making fixed thresholds prone to false alarms or missed alarms. Furthermore, unauthorized disassembly may circumvent simple optical sensing detection by blocking light, slowly prying, or interfering with external light sources. Current technology also struggles to preserve evidence of optical sensing changes and positioning status before and after an anomaly occurs, resulting in a lack of verifiable data for alarm results. Therefore, it is necessary to propose a method for processing optical sensing anti-tampering data that integrates installation standards, operating scenarios, and active verification processes. Summary of the Invention

[0005] In view of this, this application provides a method and system for optical anti-tamper data processing for BeiDou positioning terminals to solve the problems of fixed threshold misjudgment, poor scene adaptability, lack of active verification and evidence support in the prior art.

[0006] A first aspect of this application provides a method for processing optical anti-tamper data for a BeiDou positioning terminal, comprising: acquiring optical anti-tamper association data collected by the BeiDou positioning terminal in an installation confirmation state, the optical anti-tamper association data including optical sensing data inside and outside the terminal and terminal operating status data; extracting optical sensing reference features under closed installation state based on the optical anti-tamper association data, and generating an optical sensing sealing reference model corresponding to the BeiDou positioning terminal in combination with the terminal installation identifier; generating a dynamic optical sensing judgment boundary corresponding to the current operating scenario based on the real-time collected optical anti-tamper association data, the optical sensing sealing reference model and the BeiDou positioning status during the operation of the BeiDou positioning terminal; matching the current internal cavity optical sensing change with the dynamic optical sensing judgment boundary, extracting optical sensing anomaly representations, and generating an optical verification sequence and collecting corresponding optical sensing response data when the optical sensing anomaly representations meet the verification trigger conditions; generating a disassembly risk representation based on the response consistency between the optical sensing response data and the optical sensing sealing reference model, and outputting an optical anti-tamper data processing result including risk level and evidence chain data based on the disassembly risk representation.

[0007] A second aspect of this application provides a photosensitive anti-tamper data processing system for a BeiDou positioning terminal, comprising: an acquisition module for acquiring photosensitive anti-tamper association data collected by the BeiDou positioning terminal in an installation confirmation state, the photosensitive anti-tamper association data including photosensitive data inside and outside the terminal and terminal operating status data; an extraction module for extracting photosensitive reference features under a closed installation state based on the photosensitive anti-tamper association data, and generating a photosensitive sealing reference model corresponding to the BeiDou positioning terminal by combining the terminal installation identifier; a generation module for generating a dynamic photosensitive judgment boundary corresponding to the current operating scenario based on the real-time acquired photosensitive anti-tamper association data, the photosensitive sealing reference model, and the BeiDou positioning status during the operation of the BeiDou positioning terminal; a matching module for matching the current internal cavity photosensitive changes with the dynamic photosensitive judgment boundary, extracting photosensitive anomaly representations, and generating an optical verification sequence and collecting corresponding photosensitive response data when the photosensitive anomaly representations meet the verification trigger conditions; and an output module for generating a disassembly risk representation based on the response consistency between the photosensitive response data and the photosensitive sealing reference model, combined with the photosensitive anomaly representations, and outputting a photosensitive anti-tamper data processing result including risk level and evidence chain data based on the disassembly risk representations.

[0008] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects: By acquiring optical anti-tamper correlation data collected by a BeiDou positioning terminal in the installation confirmation state, including optical sensing data inside and outside the terminal and terminal operating status data, this application improves the accuracy of anti-tamper identification, enhances scene adaptability, and improves alarm verifiability by extracting optical sensing reference features under closed installation conditions based on the optical anti-tamper correlation data and combining them with the terminal installation identifier. During the operation of the BeiDou positioning terminal, a dynamic optical sensing judgment boundary corresponding to the current operating scenario is generated based on the real-time acquired optical anti-tamper correlation data, the optical sensing sealing reference model, and the BeiDou positioning status. The current internal cavity optical sensing changes are matched with the dynamic optical sensing judgment boundary to extract optical sensing anomaly representations. When the optical sensing anomaly representations meet the verification trigger conditions, an optical verification sequence is generated and the corresponding optical sensing response data is collected. Based on the response consistency between the optical sensing response data and the optical sensing sealing reference model, a disassembly risk representation is generated in combination with the optical sensing anomaly representations. The application then outputs the optical anti-tamper data processing results, including risk level and evidence chain data, based on the disassembly risk representations. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a flowchart illustrating the optical anti-tamper data processing method for BeiDou positioning terminals provided in this application embodiment; Figure 2 This is a schematic diagram of the optical anti-tamper data processing system for BeiDou positioning terminals provided in this application embodiment; Figure 3 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0011] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0012] In existing technologies, BeiDou positioning terminals are typically used in scenarios such as vehicle monitoring, logistics transportation, engineering equipment management, and tracking of important assets. By collecting positioning data, trajectory data, and terminal operating status data, they enable location monitoring of the installed objects. To prevent BeiDou positioning terminals from being illegally disassembled, moved, or obstructed, existing terminals are generally equipped with a photosensitive anti-tamper structure. This structure uses photosensitive devices located inside the terminal housing or in the mounting area to collect changes in light intensity and triggers an anti-tamper alarm when the light intensity exceeds a preset threshold or a sudden change occurs.

[0013] However, most existing optical anti-tampering methods rely on fixed light thresholds or simple light intensity variation rules, failing to comprehensively consider the terminal's installation status, changes in external light, BeiDou positioning status, and terminal operating status. In practical applications, the installation location, light-blocking conditions, and usage scenarios of BeiDou positioning terminals vary significantly. Vehicles entering or exiting tunnels, underground parking lots, repair shops, areas with strong light, or nighttime environments can all cause non-tampering fluctuations in optical sensor data, easily leading to false alarms or missed alarms. Furthermore, unauthorized dismantling attempts may circumvent single optical sensor detection through methods such as light blocking, slow prying, and external light source interference; existing technologies struggle to effectively identify such evasion behaviors. In addition, existing alarm results typically only include a simple alarm status, lacking the optical sensor change process before and after the anomaly, positioning status, and verification criteria, resulting in alarm results lacking verifiable data support.

[0014] To address the aforementioned issues, this application proposes a photosensitive anti-tamper data processing method for BeiDou positioning terminals. This method, while the BeiDou positioning terminal is in the installation confirmation state, collects photosensitive anti-tamper correlation data, including internal and external photosensitive data and terminal operating status data. Based on this data, it extracts photosensitive reference features under sealed installation conditions and combines them with the terminal installation identifier to generate a photosensitive sealing reference model corresponding to the BeiDou positioning terminal. This allows subsequent anti-tamper judgments to form an individualized basis based on the terminal's own installation state.

[0015] During the operation of the BeiDou positioning terminal, this application further generates a dynamic light sensing judgment boundary corresponding to the current operating scenario based on real-time collected optical anti-tamper correlation data, optical sealing reference model, and BeiDou positioning status; matches the current internal cavity light sensing changes with the dynamic light sensing judgment boundary to extract light sensing anomaly characteristics; and when the light sensing anomaly characteristics meet the verification trigger conditions, generates an optical verification sequence and collects the corresponding light sensing response data. Through the above processing, the anti-tamper judgment is no longer limited to a single illumination value, but incorporates the installation reference, operating scenario, internal and external light sensing relationship, and terminal status into the judgment process.

[0016] Meanwhile, this application generates a disassembly risk characterization based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, combined with the photosensitive anomaly characterization. Based on this risk characterization, it outputs photosensitive anti-tamper data processing results containing risk level and evidence chain data. Therefore, this application can improve the accuracy of anti-tamper identification, enhance adaptability to different installation environments and operating scenarios, reduce false alarms and false negatives caused by fixed threshold judgments, and improve the verifiability of anti-tamper alarm results.

[0017] The technical solution of this application will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0018] Figure 1 This is a flowchart illustrating the optical anti-tamper data processing method for BeiDou positioning terminals provided in this application embodiment. Figure 1 As shown, the method may specifically include: S101, acquire the optical anti-tamper association data collected by the Beidou positioning terminal in the installation confirmation state. The optical anti-tamper association data includes optical sensor data inside and outside the terminal and terminal operating status data. S102, extract the optical reference features under the closed installation state based on the optical anti-tamper correlation data, and generate the optical sealing reference model corresponding to the Beidou positioning terminal by combining the terminal installation mark; S103, during the operation of the Beidou positioning terminal, generates a dynamic light-sensing judgment boundary corresponding to the current operating scenario based on the real-time collected light-sensing anti-tampering correlation data, light-sensing sealing reference model and Beidou positioning status. S104, match the current changes in internal cavity light perception with the dynamic light perception judgment boundary, extract light perception anomaly representations, and when the light perception anomaly representations meet the verification trigger conditions, generate an optical verification sequence and collect the corresponding light perception response data. S105, based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, generates a disassembly risk characterization by combining the photosensitive anomaly characterization, and outputs the photosensitive anti-tamper data processing result containing risk level and evidence chain data based on the disassembly risk characterization.

[0019] In some embodiments, acquiring optical anti-tamper association data collected by the BeiDou positioning terminal in the installation confirmation state includes: After the BeiDou positioning terminal is installed and bound, the installation confirmation status is determined based on the terminal installation identifier, BeiDou timing information, and the terminal's fixed status. In the confirmed installation state, the system synchronously collects light sensor data inside and outside the terminal and terminal operating status data according to the preset sampling window, and adds terminal identifier, installation object identifier and collection time identifier to the collected data to generate light sensor anti-tamper association data.

[0020] Specifically, after the BeiDou positioning terminal is installed in a concealed location on a vehicle, the inner wall of a logistics container, or the surface of an engineering equipment shell, the installer enters the terminal installation identifier and the installation object identifier through a management platform or installation tools, triggering the installation binding process. Upon receiving the binding command, the BeiDou positioning terminal uses BeiDou timing information as a unified time reference for installation confirmation, and simultaneously reads the terminal's fixed status data. This fixed status data can be generated by combining installation fit detection, attitude stability detection, vibration stability detection, and power supply status detection, characterizing that the terminal is fixed in the target installation location and in a stable, non-moving, and non-removing state. The terminal matches the terminal installation identifier, the installation object identifier, the BeiDou timing information, and the terminal's fixed status. When the matching result meets the preset installation confirmation conditions, the BeiDou positioning terminal enters the installation confirmation state.

[0021] During installation confirmation, the BeiDou positioning terminal synchronously collects internal and external light sensor data and terminal operating status data according to a preset sampling window. The preset sampling window can be configured to several consecutive sampling cycles based on the installation scenario. Within each sampling cycle, the terminal's internal cavity light sensor value, external reference light sensor value, and corresponding terminal operating status data are simultaneously acquired. The internal cavity light sensor value indicates the illumination status inside the terminal's enclosed structure or the installation bonding area; the external reference light sensor value indicates changes in illumination in the external environment; and the terminal operating status data indicates the terminal's positioning, attitude, power supply, communication, and stability during the installation confirmation phase. During synchronous data collection, the terminal uses BeiDou timing information as a unified time scale to align data from different sources, ensuring that the internal and external light sensor relationships and terminal operating status at the same sampling moment are recorded accordingly.

[0022] In practical applications, taking a vehicle-mounted BeiDou positioning terminal as an example, after the terminal is installed in a light-shielding position inside the vehicle's dashboard, the installer completes the device binding and closes the terminal casing. The terminal enters the installation confirmation state when the vehicle is stationary and the power supply is stable. Within a preset sampling window, the terminal continuously collects internal cavity light sensing data and external ambient light sensing data, while simultaneously recording the vehicle's stationary state, the terminal's stable attitude, and the online communication status. If the terminal's attitude remains stable within this sampling window, the internal cavity light sensing exhibits low fluctuations, and changes in external light sensing correspond to the sampling time, then the data collected within this window is considered valid data in the installation confirmation state.

[0023] When generating optical anti-tamper correlation data, the BeiDou positioning terminal adds terminal identifiers, installation object identifiers, and acquisition time identifiers to the synchronously collected data, while retaining sampling window identifiers and data source identifiers. For data within the sampling window that shows obvious movement, an unclosed casing, abnormal power supply, or discontinuous acquisition time, the terminal marks it as invalid data or data awaiting verification, and it is not used as reference data for the closed installation state. Through the above processing, optical anti-tamper correlation data corresponding to the confirmed installation state can be formed, providing a data foundation for subsequent extraction of optical reference features, generation of optical sealing reference models, and execution of anti-tamper judgments during operation.

[0024] This embodiment confirms the installation status by combining terminal installation identification, BeiDou timing information, and terminal fixed status. It also synchronously collects, identifies, and encapsulates internal and external optical sensing data and terminal operating status data while the installation is confirmed. This improves the accuracy of installation reference data, reduces the interference of unstable installation data on subsequent judgments, and enhances the traceability of the optical sensing anti-tamper data processing process.

[0025] In some embodiments, optical reference features under closed installation conditions are extracted based on optical anti-tamper correlation data, and an optical sealing reference model corresponding to the BeiDou positioning terminal is generated by combining the terminal installation identifier, including: Extract the correspondence between internal and external light sensors and the stability features of the terminal status under the installation confirmation state from the light sensor anti-tamper association data, and generate the light sensor reference features corresponding to the closed installation state. The optical sensing reference features are associated with the terminal installation identifier, and an optical sensing sealing reference model is generated based on the optical sensing stability range and optical sensing response relationship in the optical sensing reference features.

[0026] Specifically, after completing the acquisition of optical anti-tamper correlation data under the confirmed installation status, the BeiDou positioning terminal or management platform performs validity screening and time alignment processing on the optical anti-tamper correlation data, associating the terminal's internal cavity optical sensing data, external reference optical sensing data, and terminal operating status data within the same sampling window according to the acquisition time identifier. For segments within the sampling window that exhibit sudden changes in terminal attitude, power outages, communication anomalies, unstable installation and bonding states, or discontinuous optical sensing sampling, these segments can be marked as abnormal segments and removed from the baseline modeling data; segments where the terminal is in a fixed and stable state and internal and external optical sensing sampling are continuous are considered valid baseline segments under the closed installation state.

[0027] Within the valid reference segment, the correspondence between internal and external light sensors under the confirmed installation state is extracted. This correspondence represents the corresponding change state after changes in external reference light are transmitted to the terminal's internal light sensor area, including the response amplitude, response delay, change slope, and residual fluctuation of the internal light sensor in response to changes in external light. The terminal also extracts terminal state stability features from its operational status data. These features indicate whether the terminal's fixed state, attitude state, power supply state, and positioning state are within a stable range within the sampling window. By fusing the internal and external light sensor correspondence with the terminal state stability features, a light sensor reference feature corresponding to the closed installation state is generated.

[0028] Taking a Beidou positioning terminal installed inside the cargo compartment of a cold chain transport vehicle as an example, the external reference light sensing data of the terminal fluctuates with the opening and closing of the cargo compartment door and changes in the interior lighting. However, the internal light sensing data of the terminal only shows slight changes when the outer shell is closed and the installation is stable. The terminal extracts this kind of internal and external light sensing correspondence within multiple sampling windows and, combined with the terminal's stable state characteristics such as a stationary vehicle, stable terminal posture, and continuous power supply, determines the stable range of internal light sensing and the internal and external light sensing response relationship of the terminal in a closed installation state. If the vehicle experiences significant vibration or the mounting surface is not properly secured within a certain sampling window, the data within that window is not included in the generation of the light sensing reference features.

[0029] When generating the optical sensing sealing reference model, the optical sensing reference features are associated with the terminal installation identifier, so that different terminals, different installation objects, and different installation locations form corresponding model records. Specifically, a reference optical sensing boundary can be generated based on the optical sensing stability range in the optical sensing reference features, and response constraint parameters can be generated based on the optical sensing response relationship. Then, the reference optical sensing boundary, response constraint parameters, terminal installation identifier, and installation object identifier are bound together to form an optical sensing sealing reference model corresponding to the BeiDou positioning terminal. This model can be stored in the terminal's local secure storage area or synchronized to the management platform for use during operation.

[0030] This embodiment generates photosensitive reference features by using the correspondence between internal and external light sensors and the stable characteristics of the terminal state under the confirmed installation state. The photosensitive reference features are then associated with the terminal installation identifier to form a photosensitive sealing reference model. This enables the anti-tamper judgment to be based on the actual installation environment of the terminal and the sealed photosensitive features, improving the pertinence of the reference modeling and the accuracy of subsequent anomaly identification, and reducing misjudgments caused by fixed thresholds.

[0031] In some embodiments, a photosensitive sealing reference model is generated based on the photosensitive stability range and photosensitive response relationship in the photosensitive reference features, including: The light-sensing stability range is time-series aggregated and state-corrected to generate a reference light-sensing boundary corresponding to the closed installation state. The relationship between light sensing response is correlated and fitted to generate response constraint parameters corresponding to changes in internal and external light sensing and the verification light response. The reference light-sensing boundary and response constraint parameters are bound to the terminal installation identifier to generate a light-sensing sealing reference model.

[0032] Specifically, after obtaining the optical reference features corresponding to the closed installation state, the BeiDou positioning terminal or management platform first performs time-series aggregation processing on the optical stability range of the optical reference features. This time-series aggregation processing continuously correlates the internal cavity optical stability values, external reference optical change values, and corresponding terminal state stability features within multiple sampling windows according to the acquisition time. It removes data segments corresponding to short-term jitter, sampling jumps, and unstable installation states, while retaining continuous optical change intervals that reflect the terminal's closed state. For valid reference segments formed during vehicle parking, enclosure closure, or equipment quiescence, corresponding weights can be determined according to the stability of the sampling window, giving higher weight to data segments with longer stability times, smaller terminal attitude changes, and continuous power supply status in the generation of reference boundaries.

[0033] Furthermore, after completing the time-series aggregation, the aggregated light-sensing stability range is corrected based on the terminal's operational status data. Specifically, disturbances such as slight changes in terminal attitude, temperature variations, minor vibrations of the mounting surface, and slow changes in external illumination are incorporated into the correction process. This ensures that the reference light-sensing boundary includes not only the normal value range of the internal cavity light sensing but also the range of slow changes and short-term fluctuations allowed under closed installation conditions. Taking a Beidou positioning terminal installed in the electrical control box of an engineering vehicle as an example, the vehicle engine startup may cause housing vibration and slight light leakage changes. However, as long as the terminal's fixed state remains unchanged and the changes in internal cavity light sensing are still within the continuous range corresponding to the closed state, such normal disturbances can be incorporated into the reference light-sensing boundary through state correction, rather than being treated as disassembly anomalies.

[0034] Regarding the optical response relationship, the BeiDou positioning terminal or management platform further performs correlation fitting processing. Correlation fitting processing is used to determine the response ratio, response delay, and deviation constraints between changes in external reference optical sensing and changes in internal cavity optical sensing, and to determine the correspondence between changes in internal cavity optical sensing response and the verification optical signal after the terminal's internal light source outputs a verification optical signal. If the terminal has already performed verification optical sampling during the installation confirmation phase, the amplitude change, duration, and fallback process of the verification optical response can be used as fitting objects to generate response constraint parameters corresponding to the verification optical response. If the response differences in different sampling windows exceed the preset stability conditions, a new stability window is selected or the reference sampling is extended to ensure that the response constraint parameters originate from the closed installation state.

[0035] When generating the photosensitive sealing baseline model, the baseline photosensitive boundary, the response constraint parameters corresponding to changes in internal and external photosensitive properties, and the response constraint parameters corresponding to the verification photosensitive response are bound to the terminal installation identifier, and the corresponding installation object identifier, modeling time identifier, and model version identifier are recorded. During the runtime phase, when the photosensitive sealing baseline model is called, the corresponding baseline photosensitive boundary and response constraint parameters can be obtained based on the terminal installation identifier, which are used to generate dynamic photosensitive judgment boundaries and verify response consistency results.

[0036] This embodiment generates a light-sensing sealing benchmark model that matches the actual closed installation state of the terminal by performing time-series aggregation and state correction on the stable range of light sensing and correlation fitting on the light sensing response relationship. This improves the adaptability of the benchmark model to differences in the installation environment and normal disturbances, and enhances the accuracy of subsequent light sensing anomaly identification and verification response judgment.

[0037] In some embodiments, based on real-time acquired optical anti-tamper correlation data, optical sealing reference model, and BeiDou positioning status, a dynamic optical judgment boundary corresponding to the current operating scenario is generated, including: Based on the real-time collected optical anti-tamper correlation data, the relationship between the current internal and external optical changes is extracted, and the current operating scenario corresponding to the Beidou positioning terminal is determined based on the Beidou positioning status; The light-sensing sealing benchmark model associated with the terminal installation identifier is invoked to perform scene correction and benchmark comparison on the current internal and external light-sensing change relationship, and to generate dynamic light-sensing judgment boundaries for limiting the magnitude, duration and response deviation of light-sensing changes.

[0038] Specifically, after the BeiDou positioning terminal enters the operation monitoring phase, the terminal collects optical sensing anti-tampering correlation data in real time according to the operation sampling strategy, and synchronously correlates the internal cavity optical sensing data, external reference optical sensing data, terminal operation status data, and BeiDou positioning status based on the collection time identifier. The current relationship between internal and external optical sensing changes can be obtained through continuous analysis windows, specifically including the change trend of internal cavity optical sensing over time, the synchronous change trend of external reference optical sensing, and the corresponding relationship between the two. When extracting the current relationship between internal and external optical sensing changes, the terminal not only records the current sampled value, but also compares the change process between the previous analysis window and the current analysis window to identify whether the optical sensing change is a slow change, a step change, or a continuous deviation.

[0039] When determining the current operating scenario based on the BeiDou positioning status, the system can comprehensively consider BeiDou positioning location, speed changes, trajectory continuity, positioning validity, and BeiDou timing information to determine whether the BeiDou positioning terminal is in a driving, stationary, indoor obstructed, maintenance stop, or abnormal movement scenario. This operating scenario is not used as a sole basis for alarms but rather to correct the light sensing judgment conditions. For example, when the vehicle-mounted BeiDou positioning terminal enters an underground parking lot with the vehicle, the external reference light sensing may decrease significantly, but the internal cavity light sensing should still remain within the low fluctuation range corresponding to the closed installation state; when the vehicle is parked in an open area during the day, the external reference light sensing may continuously increase, but the internal cavity light sensing is only allowed to show a weak response matching the light sensing sealed reference model.

[0040] When generating the dynamic light sensing judgment boundary, the BeiDou positioning terminal calls the light-sensing sealed reference model associated with the terminal installation identifier, reads the reference light sensing boundary and response constraint parameters, and compares the current internal and external light sensing changes with the reference light sensing boundary and response constraint parameters. For normal illumination changes caused by the current operating scenario, the terminal adjusts the allowable light sensing change amplitude and duration according to the scenario correction rules; for changes inconsistent with the closed installation state, the terminal retains its response deviation state. The dynamically generated light sensing judgment boundary can limit the allowable range, duration, rate of change, and response deviation range between the current internal cavity light sensing and the external reference light sensing under a specific operating scenario.

[0041] Taking a Beidou positioning terminal installed on the side wall of a refrigerated transport vehicle's cargo compartment as an example, when the vehicle passes through the loading and unloading area during the day, the opening of the cargo compartment door will cause a significant change in the external reference light perception. However, when the terminal housing and the mounting surface remain closed, the internal cavity light perception should only experience limited fluctuations. The terminal, based on the vehicle's terminal installation identifier, calls the corresponding light-sensing sealing reference model and, combined with the vehicle's current position, dwell state, and changes in external reference light perception, performs scene correction on the reference light perception boundary to form a dynamic light perception judgment boundary for the current loading and unloading scenario. If the change in internal cavity light perception exceeds this boundary, or if the response deviation between the internal and external light perception does not conform to the closed installation state, it can subsequently serve as a basis for extracting abnormal light perception characteristics.

[0042] This embodiment generates a dynamic light sensing judgment boundary by combining the real-time relationship between internal and external light sensing changes, the light sensing sealing reference model, and the BeiDou positioning status. This enables the light sensing anti-tamper judgment to adapt to the terminal installation environment and operating scenario, improving the accuracy of anomaly judgment and reducing false alarms caused by changes in strong light, dark light, shading, and normal operating scenarios.

[0043] In some embodiments, the current change in intracavitary light perception is matched with the dynamic light perception judgment boundary to extract light perception anomaly characteristics, including: The current changes in internal cavity light perception are continuously analyzed according to the preset analysis window, and the analysis results are compared with the dynamic light perception judgment boundary to determine the boundary deviation state corresponding to the current changes in internal cavity light perception. By combining the changes in external light perception and terminal operating status data in the real-time acquired light-sensing anti-tamper correlation data, the boundary deviation state is correlated and verified to generate a light-sensing anomaly representation for characterizing the degree of light perception anomaly, the duration of the anomaly, and the state correlation.

[0044] Specifically, during the operation and monitoring of the BeiDou positioning terminal, the terminal continuously reads the current changes in the internal cavity light perception according to a preset analysis window, and sorts the sampled data within the same analysis window according to the acquisition time identifier to form a continuous light perception change sequence. Continuity analysis can include identifying the stable segment, rising segment, falling segment, and continuous deviation segment of the internal cavity light perception change, and determining the process characteristics of the current internal cavity light perception change based on the change amplitude, change rate, and duration between adjacent sampling points. For short-term sampling jitter or occasional interference data, smoothing or confidence marking can be performed by combining previous and subsequent sampling points to avoid a single anomaly directly entering risk judgment.

[0045] After determining the process characteristics of the current internal cavity light sensing change, the process characteristics are compared with the dynamic light sensing judgment boundary corresponding to the current operating scenario to determine the boundary deviation state. The boundary deviation state is used to indicate the direction, magnitude, duration, and change pattern of the current internal cavity light sensing change relative to the dynamic light sensing judgment boundary. For example, if the internal cavity light sensing value continuously exceeds the dynamic light sensing judgment boundary when the vehicle is stationary, and the change process shows a step increase followed by stabilization, it can be determined as a continuous over-limit deviation; if the internal cavity light sensing value does not significantly exceed the boundary, but its rate of change is inconsistent with the allowable change process under closed installation conditions, it can be determined as an abnormal process deviation; if the internal cavity light sensing value approaches the boundary multiple times in a short period of time and is accompanied by irregular fluctuations, it can be determined as a critical fluctuation deviation.

[0046] After obtaining the boundary deviation status, further correlation verification is performed by combining the external light sensing changes and terminal operating status data from the real-time acquired optical anti-tamper correlation data. During correlation verification, the external light sensing changes and internal cavity light sensing changes within the same analysis window are compared to determine whether the boundary deviation status can be caused by changes in external illumination; simultaneously, the terminal operating status data is read to determine whether there are any status information that occurs synchronously with the boundary deviation, such as sudden changes in terminal posture, changes in installation fit, abnormal vibration, changes in power supply status, or abnormal positioning status. If the internal cavity light sensing changes and external light sensing changes maintain a response relationship allowed by the optical sealing reference model, the abnormality level of the boundary deviation status is reduced; if the internal cavity light sensing changes and external light sensing changes do not correspond and occur synchronously with abnormal terminal operating status, the abnormality level of the boundary deviation status is increased.

[0047] Taking a Beidou positioning terminal installed in the electrical control box of an engineering vehicle as an example, during daytime operation, the external light sensing may fluctuate due to changes in illumination near the box door, but under normal closed conditions, the internal cavity light sensing should only produce a limited response. When the terminal detects that the internal cavity light sensing continuously increases within a preset analysis window, and the change in external light sensing is insufficient to explain this increase, and simultaneously, the terminal's attitude and vibration data show synchronous anomalies, the terminal marks this boundary deviation as an abnormal process related to changes in the closed installation state. Subsequently, based on the deviation amplitude, duration, degree of inconsistency between internal and external light sensing, and correlation with the terminal state, a light sensing anomaly characterization is generated. The light sensing anomaly characterization can serve as input for subsequent judgments on whether the verification trigger conditions are met and for generating a disassembly risk characterization.

[0048] This embodiment analyzes the continuous changes in the current internal light perception and verifies them in conjunction with dynamic light perception judgment boundaries, external light perception changes, and terminal operating status data. This enables a more accurate distinction between normal ambient light disturbances and disassembly-related light perception anomalies, improving the reliability of light perception anomaly characterization and reducing false alarms and missed alarms caused by single-point light intensity judgment.

[0049] In some embodiments, when the light-sensing anomaly characterization meets the verification triggering condition, an optical verification sequence is generated and the corresponding light-sensing response data is acquired, including: Based on the boundary deviation state and state correlation in the light sensing anomaly characterization, it is determined that the Beidou positioning terminal has entered the verification trigger state; In the verification triggered state, an optical verification sequence is generated based on BeiDou timing information and terminal verification parameters, and the terminal's internal light source is controlled to output a verification light signal according to the optical verification sequence. The photosensitive response changes formed by the verification optical signal within the closed structure of the terminal are collected, and photosensitive response data corresponding to the optical verification sequence are generated.

[0050] Specifically, during the operation of the BeiDou positioning terminal, once an abnormal light sensing characteristic has been formed, the terminal comprehensively judges the boundary deviation state and state correlation in the abnormal light sensing characteristic to determine whether to enter the verification trigger state. The boundary deviation state reflects the deviation magnitude, direction, and duration of the current internal cavity light sensing change relative to the dynamic light sensing judgment boundary. The state correlation reflects the correspondence between this deviation state and external light sensing changes, terminal attitude changes, installation and fitting status, abnormal vibration, and power supply status. When the internal cavity light sensing change continuously deviates from the dynamic light sensing judgment boundary, and this deviation state cannot be reasonably explained by external light sensing changes, or when the boundary deviation state occurs synchronously with changes in the terminal's fixed state, the BeiDou positioning terminal determines to enter the verification trigger state.

[0051] After entering the verification trigger state, the BeiDou positioning terminal generates an optical verification sequence based on BeiDou timing information and terminal verification parameters. BeiDou timing information provides a unified and reliable time reference, while terminal verification parameters may include locally stored verification factors, parameter records corresponding to the terminal installation identifier, and the previous verification status. The terminal generates a time-correlated optical verification sequence based on this information, ensuring differentiated configurations in output timing, duration, and interval between adjacent verification processes. This processing method avoids a long-term fixed verification process and reduces interference from external light source simulation or shading techniques on the verification results.

[0052] The BeiDou positioning terminal controls its internal light source to output verification light signals according to an optical verification sequence. The internal light source can be located inside the terminal housing or within a closed optical path area. The output verification light signal undergoes reflection, scattering, or transmission within the terminal's enclosed structure and is collected by the internal cavity light-sensing unit. While controlling the internal light source to output verification light signals, the terminal records the output time, duration, and corresponding sampling time of each verification light signal using BeiDou timing information as a time reference, ensuring that changes in the light-sensing response correspond one-to-one with the optical verification sequence.

[0053] Taking a Beidou positioning terminal installed on the inner wall of a vehicle's cargo compartment as an example, when the terminal detects a continuous increase in the internal light sensor's intensity within the continuous analysis window, and the change in the external reference light sensor does not match this increase, while there is a slight change in the installation and fit, the terminal enters a verification trigger state. Subsequently, the terminal generates a set of verification light signal output sequences based on the current Beidou timing information and the terminal verification parameters, and controls the internal light source to output short-term verification light signals in this sequence.

[0054] The internal optical sensing acquisition unit collects the response changes of each verification optical signal within the enclosed structure, forming optical sensing response data including response amplitude, response delay, duration, and fallback state. If the terminal housing is opened, the mounting surface is pried off, or the optical sensing path is blocked, the corresponding optical sensing response change will shift relative to the enclosed mounting state, providing a data basis for subsequent response consistency judgment.

[0055] This embodiment triggers optical verification by boundary deviation state and state correlation, and generates an optical verification sequence based on Beidou timing information and terminal verification parameters. It can actively acquire light-sensing response data in the closed structure when suspected disassembly anomalies occur, improve the ability to identify avoidance behaviors such as light blocking, slow disassembly, and external light source interference, and enhance the data reliability of disassembly risk judgment.

[0056] In some embodiments, based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, a disassembly risk characterization is generated by combining the photosensitive anomaly characterization, and a photosensitive tamper-proof data processing result containing risk level and evidence chain data is output based on the disassembly risk characterization, including: The photosensing response data is matched with the photosensing response relationship in the photosensing sealing benchmark model to generate response consistency results; Based on the response consistency results and light sensing anomaly characterization, risk assessment is performed on the closed installation status of the Beidou positioning terminal, and a disassembly risk characterization is generated. The risk level is determined based on the disassembly risk characterization, and the risk level, light-sensing anomaly characterization, response consistency results and corresponding BeiDou positioning status are associated and encapsulated to output the light-sensing anti-tampering data processing results.

[0057] Specifically, after obtaining the photosensitive response data, the BeiDou positioning terminal or management platform first calls the corresponding photosensitive sealing reference model according to the terminal installation identifier and reads the photosensitive response relationship stored in the model. The photosensitive response relationship can include the response amplitude range, response delay range, response duration, fallback change process, and constraint relationship between internal and external photosensitive changes corresponding to the verification optical signal under the installation confirmation state. The terminal segments and organizes the photosensitive response data collected this time according to the output order in the optical verification sequence, so that each segment of photosensitive response change can establish a matching relationship with the corresponding verification optical signal.

[0058] During the matching process, the response amplitude, response delay, duration, and fallback state in the photosensitive response data are compared with the photosensitive response relationship in the photosensitive sealing reference model, and a response consistency result is generated based on the deviation of each response segment. If the deviation between the photosensitive response data and the photosensitive response relationship is within the allowable range, it is determined that the photosensitive transmission state within the terminal's enclosed structure is basically consistent with the installation confirmation state; if multiple response segments show weakened response amplitude, abnormal response delay, incomplete fallback process, or response sequence that does not correspond to the optical verification sequence, it is determined that the response consistency has decreased. For response differences caused by short-term vibration or power supply fluctuations, corrections can be made by combining terminal operating status data to avoid directly identifying non-disassembly factors as disassembly risks.

[0059] Subsequently, based on the response consistency results and the light sensing anomaly characterization, the risk assessment of the closed installation status of the BeiDou positioning terminal is performed. Specifically, the boundary deviation state, anomaly duration process, and state correlation in the light sensing anomaly characterization are jointly analyzed with the response consistency results. If the current internal cavity light sensing change only has a slight boundary deviation and the response consistency result remains normal, a lower-level disassembly risk characterization is generated; if the current internal cavity light sensing change continuously deviates from the dynamic light sensing judgment boundary, and the response consistency result shows that the verification light response significantly deviates from the light sensing sealing reference model, a higher-level disassembly risk characterization is generated; if the boundary deviation state occurs simultaneously with changes in terminal attitude, installation fit, or positioning status anomalies, the risk confidence in the disassembly risk characterization is further increased.

[0060] Taking a Beidou positioning terminal installed in the electrical control box of an engineering vehicle as an example, when the vehicle stops working, the terminal detects a continuous increase in the internal light sensitivity and triggers optical verification. If the current light sensitivity response data shows a significant decrease in response amplitude and an increase in response delay compared to the light sensitivity response during the installation confirmation phase, and the terminal attitude data shows a short-term abrupt change, the terminal can determine that there is an abnormal change in the closed structure or the installation fit, and generate a corresponding disassembly risk characterization.

[0061] After determining the risk level based on the disassembly risk characterization, the terminal associates and encapsulates the risk level, optical anomaly characterization, response consistency results, and corresponding BeiDou positioning status, and adds a collection time identifier, terminal installation identifier, and installation object identifier to form the optical anti-tamper data processing result. The optical anti-tamper data processing result can be reported by the terminal in real time, or it can be supplemented and reported to the management platform after communication is restored.

[0062] This embodiment improves the accuracy of identifying abnormal changes in the sealed installation status of the terminal by matching the photosensitive response data with the photosensitive response relationship in the photosensitive sealing reference model and generating a disassembly risk characterization by combining the photosensitive anomaly characterization. By associating and encapsulating the risk level, abnormal process, response consistency and BeiDou positioning status, it can enhance the evidentiary integrity of the photosensitive anti-tamper alarm results and the reliability of subsequent verification.

[0063] In some embodiments, during the operation of the BeiDou positioning terminal, the real-time collected optical anti-tampering associated data is cached according to the basic sampling frequency, and event triggering conditions are set according to the dynamic optical sensing boundary judgment. When the current change in the internal cavity light sensor meets the event triggering conditions, the basic sampling frequency is switched to the event sampling frequency, and light sensor anti-tamper related data is continuously collected within the preset event window; Extract the light-sensing change fragments and corresponding terminal operating status data before and after the event triggering conditions are met from the cached data, and write the light-sensing change fragments and corresponding terminal operating status data into the evidence chain data.

[0064] Specifically, after the BeiDou positioning terminal enters the operation monitoring phase, to balance low-power operation and record-keeping of abnormal processes, the terminal continuously caches the real-time collected optical sensor anti-tamper correlation data according to the basic sampling frequency. The basic sampling frequency can be configured according to the terminal's power supply status, communication status, and current operating scenario. When no abnormality occurs, only internal and external optical sensor data, BeiDou positioning status, and terminal operation status data are collected at a lower frequency and written to the circular buffer according to the collection time identifier. The circular buffer stores the most recent data in chronological order. When the buffer space reaches its limit, new data overwrites the oldest data to maintain continuous recording, allowing the terminal to retain the operating process before the anomaly occurred without increasing storage pressure.

[0065] During the caching process, the terminal sets event trigger conditions based on the dynamic light sensing boundary. These trigger conditions are determined by the degree of deviation of the current internal cavity light sensing change from the dynamic light sensing boundary, the duration of the deviation, the rate of change, and its correlation with the terminal's operating status data. Specifically, when the current internal cavity light sensing change continuously exceeds the dynamic light sensing boundary, deviates rapidly in a short period, experiences multiple critical fluctuations, or occurs synchronously with changes in terminal posture, installation fit, abnormal vibration, or power supply, the terminal identifies this change as meeting the event trigger conditions. These event trigger conditions are configured in association with the current operating scenario to prevent high-frequency data acquisition from being triggered when the vehicle enters a dark area, when external lighting changes, or when short-term sampling disturbances occur.

[0066] When the current change in the internal cavity light sensor meets the event triggering conditions, the BeiDou positioning terminal switches its basic sampling frequency to the event sampling frequency and continuously collects light sensor anti-tamper correlation data within a preset event window. The event sampling frequency is higher than the basic sampling frequency and is used to record the fine-grained change process after the anomaly occurs. The preset event window can include a continuous sampling window after triggering and a delayed observation window to cover the rise, maintenance, fall, and terminal status change process of the light sensor anomaly. Taking a BeiDou positioning terminal installed on the inner wall of a logistics vehicle's cargo compartment as an example, when the terminal detects a continuous increase in the internal cavity light sensor while parked at night, accompanied by a slight change in the installation fit, the terminal immediately increases the sampling frequency and continuously records the changes in the internal cavity light sensor, changes in the external reference light sensor, BeiDou positioning status, attitude status, and power supply status, forming complete event process data.

[0067] After the event window ends, the terminal extracts the light-sensing change segments before and after the event trigger condition is met, along with the corresponding terminal operating status data, from the circular buffer and the data collected during the event window. Specifically, it extracts basic sampling data for a preset duration prior to the trigger time and event sampling data backward, then concatenates the two into continuous event segments according to the acquisition time identifier. Subsequently, the terminal adds terminal installation identifiers, installation object identifiers, trigger type identifiers, and BeiDou timing identifiers to the continuous event segments and writes them into the evidence chain data. In the event of a temporary communication interruption, the evidence chain data can be stored locally in a secure storage area and reported to the management platform after communication is restored.

[0068] This embodiment uses a basic sampling frequency for normal caching and switches to the event sampling frequency when the event triggering conditions are met. This can reduce terminal power consumption and storage usage while completely preserving the light sensor changes and terminal operating status data before and after the suspected disassembly event, thereby improving the process integrity, evidence traceability, and alarm verification reliability of the light sensor anti-tampering results.

[0069] The following are system embodiments of this application, which can be used to execute the method embodiments of this application. For details not disclosed in the system embodiments of this application, please refer to the method embodiments of this application.

[0070] Figure 2 This is a schematic diagram of the optical anti-tamper data processing system for BeiDou positioning terminals provided in an embodiment of this application. Figure 2 As shown, the system includes: The acquisition module 201 is used to acquire the optical anti-tamper association data collected by the Beidou positioning terminal in the installation confirmation state. The optical anti-tamper association data includes optical sensor data inside and outside the terminal and terminal operating status data. The extraction module 202 is used to extract the optical reference features under the closed installation state based on the optical anti-tamper association data, and generate an optical sealing reference model corresponding to the Beidou positioning terminal by combining the terminal installation mark. The generation module 203 is used to generate a dynamic light-sensing judgment boundary corresponding to the current operating scenario based on the real-time collected light-sensing anti-tampering correlation data, light-sensing sealing reference model and BeiDou positioning status during the operation of the BeiDou positioning terminal. Matching module 204 is used to match the current changes in internal cavity light perception with the dynamic light perception judgment boundary, extract light perception anomaly representations, and generate an optical verification sequence and collect corresponding light perception response data when the light perception anomaly representations meet the verification trigger conditions. The output module 205 is used to generate a disassembly risk characterization based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, combined with the photosensitive anomaly characterization, and output the photosensitive anti-tamper data processing result containing risk level and evidence chain data based on the disassembly risk characterization.

[0071] In some embodiments, Figure 2 After the Beidou positioning terminal is installed and bound, the acquisition module 201 determines the installation confirmation status based on the terminal installation identifier, Beidou timing information and the fixed status of the terminal. In the installation confirmation status, the module synchronously collects the internal and external light sensing data and the terminal operation status data according to the preset sampling window, and adds the terminal identifier, installation object identifier and collection time identifier to the collected data to generate light sensing anti-tamper association data.

[0072] In some embodiments, Figure 2 The extraction module 202 extracts the internal and external light sensing correspondence and terminal status stability features under the installation confirmation state from the light sensing anti-tamper association data, and generates the light sensing reference features corresponding to the closed installation state; it associates the light sensing reference features with the terminal installation identifier, and generates a light sensing sealing reference model based on the light sensing stability range and light sensing response relationship in the light sensing reference features.

[0073] In some embodiments, Figure 2 The extraction module 202 performs time-series aggregation and state correction on the stable range of light sensing to generate a reference light sensing boundary corresponding to the closed installation state; it performs correlation fitting on the light sensing response relationship to generate response constraint parameters corresponding to the changes in internal and external light sensing and the verification light response; and it binds the reference light sensing boundary and response constraint parameters with the terminal installation identifier to generate a light sensing sealing reference model.

[0074] In some embodiments, Figure 2 The generation module 203 extracts the current internal and external light sensing change relationship based on the real-time collected light sensing anti-tamper correlation data, and determines the current operating scenario corresponding to the Beidou positioning terminal based on the Beidou positioning status; it calls the light sensing sealing benchmark model associated with the terminal installation identifier, performs scene correction and benchmark comparison on the current internal and external light sensing change relationship, and generates a dynamic light sensing judgment boundary to limit the light sensing change amplitude, duration and response deviation state.

[0075] In some embodiments, Figure 2 The matching module 204 performs continuous analysis on the current changes in internal cavity light perception according to the preset analysis window, and compares the analysis results with the dynamic light perception judgment boundary to determine the boundary deviation state corresponding to the current changes in internal cavity light perception. Combining the external light perception changes and terminal operation status data in the real-time collected light perception anti-tamper correlation data, the boundary deviation state is correlated and verified to generate a light perception anomaly representation for characterizing the degree of light perception anomaly, the anomaly duration process, and the state correlation relationship.

[0076] In some embodiments, Figure 2The matching module 204 determines that the Beidou positioning terminal has entered the verification trigger state based on the boundary deviation state and state correlation in the light sensing anomaly characterization. In the verification trigger state, it generates an optical verification sequence based on Beidou timing information and terminal verification parameters, and controls the internal light source of the terminal to output verification light signal according to the optical verification sequence. It collects the light sensing response changes formed by the verification light signal in the closed structure of the terminal and generates light sensing response data corresponding to the optical verification sequence.

[0077] In some embodiments, Figure 2 The output module 205 matches the photosensitive response data with the photosensitive response relationship in the photosensitive sealing reference model to generate a response consistency result; based on the response consistency result and the photosensitive anomaly characterization, it performs risk assessment on the closed installation status of the Beidou positioning terminal and generates a disassembly risk characterization; based on the disassembly risk characterization, it determines the corresponding risk level, and associates and encapsulates the risk level, photosensitive anomaly characterization, response consistency result and the corresponding Beidou positioning status to output the photosensitive anti-tamper data processing result.

[0078] In some embodiments, Figure 2 During the operation of the Beidou positioning terminal, the writing module 206 caches the real-time collected optical anti-tampering associated data according to the basic sampling frequency, and sets event triggering conditions based on the dynamic optical sensing judgment boundary. When the current internal cavity optical sensing change meets the event triggering condition, the basic sampling frequency is switched to the event sampling frequency, and optical anti-tampering associated data is continuously collected within the preset event window. The optical sensing change segments before and after the event triggering condition is met and the corresponding terminal operating status data are extracted from the cached data, and the optical sensing change segments and the corresponding terminal operating status data are written into the evidence chain data.

[0079] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0080] Figure 3 This is a schematic diagram of the electronic device 3 provided in an embodiment of this application. Figure 3 As shown, the electronic device 3 of this embodiment includes: a processor 301, a memory 302, and a computer program 303 stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program 303, it implements the steps in the various method embodiments described above. Alternatively, when the processor 301 executes the computer program 303, it implements the functions of each module / unit in the various system embodiments described above.

[0081] Electronic device 3 can be a desktop computer, laptop, handheld computer, cloud server, or other electronic device. Electronic device 3 may include, but is not limited to, processor 301 and memory 302. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or different components.

[0082] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0083] The memory 302 can be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 302 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 3. The memory 302 can also include both internal and external storage units of the electronic device 3. The memory 302 is used to store computer programs and other programs and data required by the electronic device.

[0084] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0085] If integrated modules / units are implemented as software functional units and sold or used as independent products, they can be stored in a readable storage medium (e.g., a computer-readable storage medium). Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program may include computer program code, which may be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0086] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for processing optically-sensored anti-tamper data for BeiDou positioning terminals, characterized in that, include: Acquire optical anti-tamper association data collected by the Beidou positioning terminal in the installation confirmation state. The optical anti-tamper association data includes internal and external optical sensor data of the terminal and terminal operating status data. Based on the optical anti-tamper correlation data, optical reference features under closed installation conditions are extracted, and combined with the terminal installation identifier, an optical sealing reference model corresponding to the Beidou positioning terminal is generated. During the operation of the Beidou positioning terminal, a dynamic light-sensing judgment boundary corresponding to the current operating scenario is generated based on the real-time collected light-sensing anti-tampering correlation data, the light-sensing sealing reference model, and the Beidou positioning status. The current changes in intracavitary light perception are matched with the dynamic light perception judgment boundary to extract light perception anomaly representations. When the light perception anomaly representations meet the verification trigger conditions, an optical verification sequence is generated and the corresponding light perception response data is collected. Based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, a disassembly risk characterization is generated by combining the photosensitive anomaly characterization, and a photosensitive anti-tampering data processing result containing risk level and evidence chain data is output based on the disassembly risk characterization.

2. The method according to claim 1, characterized in that, The acquisition of optical anti-tamper association data collected by the Beidou positioning terminal in the installation confirmation state includes: After the BeiDou positioning terminal is installed and bound, the installation confirmation status is determined based on the terminal installation identifier, BeiDou timing information, and terminal fixed status. In the installation confirmation state, the terminal's internal and external light sensor data and terminal operating status data are collected synchronously according to the preset sampling window. The collected data is then labeled with a terminal identifier, an installation object identifier, and a collection time identifier to generate the light sensor anti-tamper association data.

3. The method according to claim 1, characterized in that, The step of extracting photosensitive reference features under closed installation conditions based on the photosensitive anti-tamper correlation data, and generating a photosensitive sealing reference model corresponding to the Beidou positioning terminal by combining the terminal installation identifier, includes: Extract the internal and external light sensor correspondence and terminal state stability features under the installation confirmation state from the light sensor anti-tamper association data, and generate the light sensor reference features corresponding to the closed installation state. The light-sensing reference feature is associated with the terminal installation identifier, and the light-sensing sealing reference model is generated based on the light-sensing stability range and light-sensing response relationship in the light-sensing reference feature.

4. The method according to claim 3, characterized in that, The step of generating the photosensitive sealing reference model based on the photosensitive stability range and photosensitive response relationship in the photosensitive reference features includes: The light-sensing stability range is time-series aggregated and state-corrected to generate a reference light-sensing boundary corresponding to the closed installation state. The photosensitive response relationship is correlated and fitted to generate response constraint parameters corresponding to changes in internal and external photosensitive properties and the verification photosensitive response; The reference light-sensing boundary and the response constraint parameters are bound to the terminal installation identifier to generate the light-sensing sealing reference model.

5. The method according to claim 1, characterized in that, The dynamic light-sensing judgment boundary corresponding to the current operating scenario is generated based on the real-time acquired light-sensing anti-tampering correlation data, the light-sensing sealing reference model, and the BeiDou positioning status, including: The relationship between current internal and external light sensing changes is extracted based on the real-time collected optical anti-tamper correlation data, and the current operating scenario corresponding to the Beidou positioning terminal is determined based on the Beidou positioning status. The light-sensing sealing benchmark model associated with the terminal installation identifier is invoked to perform scene correction and benchmark comparison on the current internal and external light-sensing change relationship, and to generate a dynamic light-sensing judgment boundary for limiting the light-sensing change amplitude, duration, and response deviation state.

6. The method according to claim 1, characterized in that, The step of matching the current changes in intracavitary light perception with the dynamic light perception judgment boundary to extract light perception anomaly characteristics includes: The current changes in internal cavity light perception are continuously analyzed according to the preset analysis window, and the analysis results are compared with the dynamic light perception judgment boundary to determine the boundary deviation state corresponding to the current changes in internal cavity light perception. By combining the changes in external light perception and terminal operating status data in the real-time collected light-sensing anti-tamper correlation data, the boundary deviation state is correlated and verified to generate a light-sensing anomaly representation for characterizing the degree of light perception anomaly, the duration of the anomaly, and the state correlation.

7. The method according to claim 6, characterized in that, When the photosensitive anomaly characterization meets the verification triggering condition, an optical verification sequence is generated and corresponding photosensitive response data is collected, including: Based on the boundary deviation state and state correlation in the light-sensing anomaly characterization, it is determined that the Beidou positioning terminal has entered the verification trigger state; In the verification trigger state, an optical verification sequence is generated based on BeiDou timing information and terminal verification parameters, and the terminal's internal light source is controlled to output a verification light signal according to the optical verification sequence. The photosensitive response changes formed by the verification optical signal within the closed structure of the terminal are collected to generate photosensitive response data corresponding to the optical verification sequence.

8. The method according to claim 1, characterized in that, The process involves generating a disassembly risk characterization based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, combined with the photosensitive anomaly characterization, and outputting a photosensitive anti-tampering data processing result containing risk level and evidence chain data based on the disassembly risk characterization, including: The photosensing response data is matched with the photosensing response relationship in the photosensing sealing reference model to generate a response consistency result; Based on the response consistency results and the light sensing anomaly characterization, the closed installation status of the Beidou positioning terminal is risk-assessed, and a disassembly risk characterization is generated. The risk level is determined based on the disassembly risk characterization, and the risk level, the light-sensing anomaly characterization, the response consistency result and the corresponding BeiDou positioning status are associated and encapsulated to output the light-sensing anti-tamper data processing result.

9. The method according to claim 1, characterized in that, During the operation of the Beidou positioning terminal, the real-time collected optical anti-tampering associated data is cached according to the basic sampling frequency, and event triggering conditions are set according to the dynamic optical sensing judgment boundary. When the current change in the internal cavity light sensor meets the event triggering condition, the basic sampling frequency is switched to the event sampling frequency, and the light sensor anti-tamper association data is continuously collected within the preset event window. Extract the light-sensing change segments and corresponding terminal operating status data before and after the event triggering condition is met from the cached data, and write the light-sensing change segments and corresponding terminal operating status data into the evidence chain data.

10. A photosensitive anti-tamper data processing system for BeiDou positioning terminals, characterized in that, include: The acquisition module is used to acquire the optical anti-tamper association data collected by the Beidou positioning terminal in the installation confirmation state. The optical anti-tamper association data includes optical sensor data inside and outside the terminal and terminal operating status data. The extraction module is used to extract the optical reference features under the closed installation state based on the optical anti-tamper association data, and generate an optical sealing reference model corresponding to the Beidou positioning terminal by combining the terminal installation identifier; The generation module is used to generate a dynamic light-sensing judgment boundary corresponding to the current operating scenario based on the real-time collected light-sensing anti-tampering correlation data, the light-sensing sealing reference model, and the BeiDou positioning status during the operation of the BeiDou positioning terminal. The matching module is used to match the current changes in intracavitary light perception with the dynamic light perception judgment boundary, extract light perception anomaly representations, and generate an optical verification sequence and collect corresponding light perception response data when the light perception anomaly representations meet the verification trigger conditions. The output module is used to generate a disassembly risk characterization based on the response consistency between the photosensitive response data and the photosensitive sealing benchmark model, combined with the photosensitive anomaly characterization, and output the photosensitive anti-tampering data processing result containing risk level and evidence chain data based on the disassembly risk characterization.

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