A smart asset safety monitoring and anti-theft method for two-wheeled vehicle batteries

Abstract

This application provides a smart asset security monitoring and anti-theft method for two-wheeled vehicle batteries. The method monitors the installation posture of the target battery through a battery module. When the battery meets the requirements for removal, the battery module generates an information capsule and sends it to a central management platform. Based on the information capsule, a removal reminder is sent to the user module. The user module receives feedback based on the removal reminder, generates a battery status tag, and stores it. The access control module reads the access pass and senses the presence signal of the battery. If detected, it verifies the target battery's information capsule and generates a verification result. Based on the verification result and the battery status tag, combined with access rules and the information capsule, a verification evidence package is generated to determine the behavior of the person passing through. This method constructs a unified closed loop across the entire chain of "event transmission—user feedback—identity recognition—rule fusion—evidence generation—instruction output," achieving real-time, differentiated, and traceable access determination with the platform as the central hub.

Description

Technical Field

[0001] This application relates to the field of security monitoring and anti-theft, and in particular to a smart asset security monitoring and anti-theft method for two-wheeled vehicle batteries. Background Technology

[0002] With the widespread adoption of intelligent battery management systems, battery safety has become a significant technological challenge, especially in scenarios such as two-wheeled electric vehicles and residential communities. Currently, battery theft is becoming increasingly frequent and sophisticated, and traditional battery anti-theft measures often have significant blind spots, resulting in low anti-theft efficiency and substantial losses.

[0003] Existing solutions are mostly deployed in a decentralized manner: one type sets up simple anti-tamper / displacement alarms on the battery side or vehicle side; another type relies on access control to verify people's credentials to open and close doors; and then combines this with fixed video surveillance or manual patrols for evidence collection. Some systems introduce positioning or near-field recognition, but these are mostly used for asset inventory or simple presence notifications. The above methods are fragmented: battery-side events and access control-side identity verification are not integrated, identity categories are not included in the rule-based judgment process, and the door is only judged by "someone with credentials passed / failed", lacking synchronous verification and coordinated handling of "whether the battery is carried" and "whether the carrying complies with the rules".

[0004] However, while the battery side can detect anomalies, it lacks standardized reporting and timely triggering for the platform. Whether the homeowner is aware of the issue cannot be collected and stored as a battery status tag for judgment. The identity category of the access subject (resident / visitor / repairman) and pre-established access rules are not jointly determined on the platform side along with battery removal information. The existing system fails to merge the collected information into a verification evidence package to form an automatic closed loop for behavior judgment and grant / delay commands. Therefore, a smart asset security monitoring and anti-theft method capable of intelligently monitoring two-wheeled vehicle batteries is needed to solve the above problems. Summary of the Invention

[0005] In view of this, it is necessary to provide a smart asset security monitoring and anti-theft method for two-wheeled vehicle batteries to solve the above problems.

[0006] This application provides an intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries, applied to a community anti-theft system. The method includes a battery module, a user module, and a central management platform interconnected by data, as well as an access control module connected to the central management platform. The method comprises: Configure access credentials for different access entities, and divide the access entities into resident terminals, visitor terminals and maintenance terminals according to the access credentials. Bind each target battery to the corresponding resident terminal and establish access rules. The battery module monitors the installation posture of the target battery. When the removal status is met, the battery module generates an information capsule and sends it to the central management platform. Based on the information capsule, a removal reminder is sent to the user module, the user module receives the informed result based on the removal reminder, a battery status tag is generated and stored; The access control module reads the access token to obtain the identity category and senses the presence signal of the battery. If the signal is sensed, the information capsule of the target battery is verified and a verification result is generated. Based on the verification result and the battery status tag of the battery, a verification data package is generated by combining the access rules and information capsule. Based on the judgment result of the verification data package, the behavior judgment of the passing subject is obtained, and a pass instruction or a prohibition instruction is output based on the judgment result.

[0007] In at least one embodiment of this application, the information capsule includes a random verification code for the current battery, and the verification result includes a battery-carrying association result obtained by associating the identity category with the random verification code.

[0008] In at least one embodiment of this application, the step "generating a verification evidence package by combining the entry / exit rules and the information capsule" includes the following steps: The information capsule also includes a retrieval certificate for the current battery. The retrieval certificate includes travel information recorded from the current battery retrieval location to the arrival at the access control station. The access control module senses the current travel direction of the main body, judges the rationality of the travel direction of the main body based on the travel information, and judges whether the current carrying is legal in combination with the entrance and exit rules, generating a verification evidence package.

[0009] In at least one embodiment of this application, the step "determining the behavior of the access subject based on the judgment result of the verification data packet" includes the following steps: Read the identity category of the current passage subject, compare it with the entrance and exit rules, determine the legality of this carrying, and generate a judgment result of the verification data packet based on the matching of the carrying association result, the rationality of the direction of travel and the legality of this carrying; The battery carrying association results include the same carrying and different carrying, and the behavior judgment includes legal behavior, illegal behavior and suspected behavior.

[0010] In at least one embodiment of this application, the step "based on the judgment result of the verification data packet, determine the behavior of the passing subject, and output a pass-through command or a prohibition command based on the judgment result" includes the following steps: If the identity category of the person passing through is determined to be a resident, and the carrying of electricity is associated with the same person but the carrying of electricity is illegal, the central management platform will determine it as the suspected behavior, prohibit passage, and conduct manual verification.

[0011] In at least one embodiment of this application, the step "based on the judgment result of the verification data packet, determine the behavior of the passing subject, and output a pass-through command or a prohibition command based on the judgment result" includes the following steps: If the identity of the person passing through is determined to be a visitor, and the following conditions are met: the battery carrying association is different, the direction of travel is unreasonable, or the current carrying is illegal, then the central management platform will determine it as an illegal act, prohibit passage, and conduct manual verification.

[0012] In at least one embodiment of this application, the step "based on the judgment result of the verification data packet, determine the behavior of the passing subject, and output a pass-through command or a prohibition command based on the judgment result" includes the following steps: If the identity of the entity passing through is determined to be a maintenance unit, and the battery carrying association is the same, and the direction of travel is unreasonable or the current carrying is illegal, the central management platform will determine it as the suspected behavior, prohibit passage, and conduct manual verification. If the battery carrying association is not specified, the central management platform will determine it as an illegal act, prohibit passage, and conduct manual verification.

[0013] In at least one embodiment of this application, the step "sensing the presence signal of the battery through the access control module" further includes the step of: If no battery is detected, the system reads the current traveler's pass and, based on the battery status tag, performs near-field detection to determine if the current traveler has any physical characteristics that suggest a battery, thus obtaining a silent suspected battery carrying result. Based on the current traveler's identity category and the silent suspected battery carrying result, a silent verification result is generated to determine whether the current traveler is legally carrying the battery.

[0014] In at least one embodiment of this application, the step "generating a silent verification result based on the identity category of the current passing subject and the silent suspected carrying result, and determining whether the current passing subject is legally carrying" includes the following steps: When physical characteristics of a suspected battery are detected, if the current access subject is classified as a visitor or maintenance worker, it is determined to be illegal carrying. The access control module issues a security handling instruction, which includes blocking access, disabling charging, collecting on-site evidence, and manual verification.

[0015] In at least one embodiment of this application, the battery module includes a shaking detection unit and an orientation detection unit that are connected to each other via data. When the shaking intensity data collected by the shaking detection unit exceeds a preset shaking threshold and the orientation detection unit detects that the battery orientation deviation data exceeds a preset deviation threshold, the battery module determines that it meets the requirements for removal.

[0016] The aforementioned intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries triggers the platform to perform online verification of the information capsule after the access control system detects the presence of the battery, generating a verification result. This allows the removal event to be directly incorporated into the instantaneous release / restriction decision, significantly shortening response time and reducing the window for smuggling. The platform pushes a removal reminder to the user module based on the information capsule and receives informed feedback, forming a battery status tag. This tag participates in subsequent judgments, distinguishing between "informed carrying" and "abnormal carrying," reducing false stops / missed releases. The access control system reads the access pass to obtain the identity category (resident / visitor / maintenance). The platform combines pre-established entry / exit rules with the verification result to jointly determine the category, achieving differentiated management based on different groups and rules, improving compliance and accuracy.

[0017] The platform merges verification results, battery status tags, access rules, and information capsules to generate a Generative Verification Package (GVP). Based on this, it automatically outputs and records permission or prohibition instructions, forming a traceable closed-loop process and evidence chain, facilitating responsibility allocation and post-event review. The central management platform acts as the sole decision-making body, issuing unified instructions; the access control module is only responsible for sensing and execution, achieving policy consistency, simplified deployment, and centralized operation and maintenance, reducing system complexity and false judgment rate. Pre-access verification is based on "presence signal sensing and information capsule verification," weakening the reliance on "passage based solely on identification," increasing the probability of intercepting unauthorized items, and enhancing overall security.

[0018] In summary, this method constructs a unified closed loop across the entire chain of "event submission—user feedback—identity recognition—rule fusion—evidence generation—instruction output," using the platform as the central hub to achieve real-time, differentiated, and traceable access determination, effectively overcoming the shortcomings of existing technologies. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the steps of a smart asset security monitoring and anti-theft method for two-wheeled vehicle batteries according to an embodiment of this application.

[0020] Figure 2 for Figure 1 A flowchart illustrating the behavior determination process of a smart asset security monitoring and anti-theft method for two-wheeled vehicle batteries.

[0021] Figure 3 for Figure 1The flowchart of the silent branch of the intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries. Detailed Implementation

[0022] The embodiments of this application will now be described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0023] It should be noted that when a component is considered to be "connected" to another component, it can be directly connected to the other component or may also have an intervening component. When a component is considered to be "placed" on another component, it can be directly placed on the other component or may also have an intervening component. The terms "top," "bottom," "upper," "lower," "left," "right," "front," "back," and similar expressions used in this article are for illustrative purposes only.

[0024] Embodiments of this application provide a smart asset security monitoring and anti-theft method for two-wheeled vehicle batteries. An application in a community security system, comprising a battery module, a user module, and a central management platform interconnected by data, and an access control module connected to the central management platform by data, the method comprising: Configure access credentials for different access entities, and divide the access entities into resident terminals, visitor terminals and maintenance terminals according to the access credentials. Bind each target battery to the corresponding resident terminal and establish access rules. The battery module monitors the installation posture of the target battery. When the removal status is met, the battery module generates an information capsule and sends it to the central management platform. Based on the information capsule, a removal reminder is sent to the user module, the user module receives the informed result based on the removal reminder, a battery status tag is generated and stored; The access control module reads the access token to obtain the identity category and senses the presence signal of the battery. If the signal is sensed, the information capsule of the target battery is verified and a verification result is generated. Based on the verification result and the battery status tag of the battery, a verification data package is generated by combining the access rules and information capsule. Based on the judgment result of the verification data package, the behavior judgment of the passing subject is obtained, and a pass instruction or a prohibition instruction is output based on the judgment result.

[0025] The aforementioned intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries triggers the platform to perform online verification of the information capsule after the access control system detects the presence of the battery, generating a verification result. This allows the removal event to be directly incorporated into the instantaneous release / restriction decision, significantly shortening response time and reducing the window for smuggling. The platform pushes a removal reminder to the user module based on the information capsule and receives informed feedback, forming a battery status tag. This tag participates in subsequent judgments, distinguishing between "informed carrying" and "abnormal carrying," reducing false stops / missed releases. The access control system reads the access pass to obtain the identity category (resident / visitor / maintenance). The platform combines pre-established entry / exit rules with the verification result to jointly determine the category, achieving differentiated management based on different groups and rules, improving compliance and accuracy.

[0026] The platform merges verification results, battery status tags, access rules, and information capsules to generate a Generative Verification Package (GVP). Based on this, it automatically outputs and records permission or prohibition instructions, forming a traceable closed-loop process and evidence chain, facilitating responsibility allocation and post-event review. The central management platform acts as the sole decision-making body, issuing unified instructions; the access control module is only responsible for sensing and execution, achieving policy consistency, simplified deployment, and centralized operation and maintenance, reducing system complexity and false judgment rate. Pre-access verification is based on "presence signal sensing and information capsule verification," weakening the reliance on "passage based solely on identification," increasing the probability of intercepting unauthorized items, and enhancing overall security.

[0027] In summary, this method constructs a unified closed loop across the entire chain of "event submission—user feedback—identity recognition—rule fusion—evidence generation—instruction output," using the platform as the central hub to achieve real-time, differentiated, and traceable access determination, effectively overcoming the shortcomings of existing technologies.

[0028] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0029] Please see Figures 1-3 This application provides an intelligent asset security monitoring and anti-theft method 100 for two-wheeled vehicle batteries, applied to a community anti-theft system. The method includes a battery module, a user module, and a central management platform interconnected by data, as well as an access control module connected to the central management platform. The method includes: S10 configures access credentials for different access entities and divides the access entities into resident terminals, visitor terminals and maintenance terminals according to the access credentials. It binds each target battery to the corresponding resident terminal and establishes entrance and exit rules. S20 monitors the installation posture of the target battery through the battery module. When the removal status is met, the battery module generates an information capsule and sends it to the central management platform. S30 sends a removal reminder to the user module based on the information capsule, receives the informed result from the user module based on the removal reminder, generates a battery status tag and stores it; S40 reads the access token through the access control module to obtain the identity category and senses the presence signal of the battery. If sensed, it verifies the information capsule of the target battery and generates a verification result. Based on the verification result and the battery status tag of the battery, S50 generates a verification evidence package in combination with the entrance / exit rules and information capsule. Based on the judgment result of the verification evidence package, it determines the behavior of the passing subject and outputs a pass instruction or a prohibition instruction based on the judgment result.

[0030] Specifically, in this embodiment, it should be noted that the community anti-theft system consists of interconnected battery modules, user modules, a central management platform, and access control modules connected to the central management platform. The central management platform serves as a unified judgment and command issuing node. The system first configures access credentials for the access subjects and classifies them into resident, visitor, and maintenance subjects accordingly. Simultaneously, each target battery is bound to its corresponding resident, and machine-readable access rules (including a set of strategies for constraints such as port of entry, direction, time window, and carrying permissions) are established on the platform side.

[0031] In one specific embodiment, it should be noted that in the community anti-theft system, the battery module is installed inside the target battery or fixedly connected to the target battery casing; the access control module is installed at the main entrance / exit of the community, building entrance / exit, underground garage passage, or centralized parking garage gate; the user module is installed in the corresponding mobile terminal or management terminal of the resident, visitor, or maintenance terminal; and the central management platform is deployed on the property server or cloud server. The battery module, user module, and access control module are all connected to the central management platform, which is used to uniformly receive retrieval events, informed feedback, and door access verification data. Through this connection and location relationship, the retrieval action, user informed confirmation, and door access verification can be continuously carried out around the same target battery, providing a common data thread for the subsequent generation of verification results and verification data packages.

[0032] During operation, the battery module continuously monitors the installation posture of the target battery. When it determines that the battery is ready for removal, the battery module immediately generates an information capsule and uploads it to the central management platform. Based on this, the platform pushes a removal reminder to the user module, receives user feedback, and generates and stores a battery status tag. When an access user arrives at the entrance, the access control module reads the access pass to obtain the user's identity category and detects the presence of the battery. Upon detecting the battery's presence, the platform verifies the target battery's information capsule and generates a verification result. Subsequently, based on the verification result and the battery status tag, combined with access rules and the information capsule, the platform generates a verification evidence package.

[0033] Furthermore, the central management platform pre-establishes a one-to-one binding relationship between target batteries and resident terminals, and stores corresponding access rules for resident terminals, visitor terminals, and maintenance terminals respectively. Specifically, each access rule includes at least the applicable identity category, access control number, permitted passage direction, permitted passage time window, permitted carrying status, and verification flag. The purpose of this setup is to transform the management system into machine-readable and comparable structured rule items, enabling the central management platform to compare the current access control, current time, current direction, and current carrying status item by item at the moment of passage, thereby outputting a clear conclusion on whether the carrying is legal.

[0034] Specifically, after the battery module sends out the retrieval event, the central management platform uses the information capsule to match the retrieval event with the door access event. The information capsule includes at least a unique identifier for the target battery, a retrieval event identifier, a retrieval timestamp, a retrieval location identifier, a random verification code, a retrieval credential, and attitude summary information. The attitude summary information includes at least the shaking intensity value and orientation deviation value. The central management platform sends a retrieval reminder to the user module based on these fields and, during the access control verification phase, uses these fields to perform source consistency, field integrity, timeliness, and relevance checks, transforming the information capsule from a simple notification message into structured event data that can be stored, transmitted, and compared.

[0035] In one specific embodiment, after receiving the removal reminder, the user module outputs informed feedback, and the central management platform generates a battery status tag based on this feedback. Specifically, the battery status tag may include one of the following: informed carrying tag, authorized carrying tag, unknown situation exception tag, and timeout pending verification tag. The informed carrying tag indicates that the resident confirms that they are aware of and allow the removal; the authorized carrying tag indicates that the resident confirms that the visitor or maintenance terminal has authorization to handle the target battery at the current time; the unknown situation exception tag indicates that the resident denies the removal; and the timeout pending verification tag indicates that no feedback has been received within a preset time period. By converting the informed status into structured tags, subjective feedback that was originally difficult to directly participate in the judgment can be transformed into data elements that can be directly accessed for subsequent verification and behavior determination.

[0036] Furthermore, a closed-loop process is constructed, consisting of "battery removal event—user informed feedback—access control presence verification—platform evidence fusion—instruction execution," enabling battery-related events to enter the doorway decision chain in real time. This significantly shortens the response time from removal to release / restriction determination and reduces blind spots caused by passive monitoring. The introduction of battery status tags incorporates user awareness into the platform's unified judgment, enabling differentiated control without altering the physical structure of the access control system, reducing false blocking and missed access. At the moment of passage, the platform simultaneously grasps three key pieces of information: "identity category (determined by access credentials)," "battery presence (sensed by access control)," and "information capsule verification result (verified by the platform)," and calculates them uniformly with pre-set entrance and exit rules to form a verification evidence package and automatically outputs release / restriction instructions. This avoids the distortion of decisions based solely on a single factor (such as identification or alarm), improving the accuracy, interpretability, and traceability of the judgment.

[0037] Furthermore, the central management platform acts as the sole decision-making node, while the access control module serves as the on-site execution node, with a clear division of labor. The central management platform is responsible for reading the binding relationships, invoking entry and exit rules, verifying information capsules, and generating verification data packets. The access control module is responsible for reading access credentials, sensing the presence of the target battery, and executing permission granting or blocking. This setup avoids inconsistencies caused by different access control terminals making their own decisions, facilitating unified deployment and verification in scenarios such as main entrances and exits of residential communities, building entrances and exits, underground garage exits, and centralized parking shed passages.

[0038] Furthermore, the platform issues access passes to the entities using them; categorizes personnel into resident / visitor / repair personnel based on the passes; establishes a binding relationship between each target battery and its corresponding resident; and inputs / issues entry rules (port, direction, time window, carrying permissions, etc.) on the platform side. This forms a machine-readable boundary of the identity-asset-rules tripartite relationship, supporting differentiated access; and providing ownership and institutional basis for subsequent determinations.

[0039] The battery module monitors its installation posture; when it meets the requirements for removal, it immediately generates an information capsule and uploads it to the platform. This transforms "removal" into an event-based reporting mechanism, ensuring the event enters the platform's decision-making chain in real time and reducing blind spots in passive monitoring. The platform pushes removal reminders to the user module based on the information capsule; it also receives user feedback, generating and storing battery status tags. This information, whether the user was aware of the removal, is used as a computationally achievable tag to distinguish between "normal self-carrying" and "abnormal carrying," reducing the risk of accidental interception or missed removal.

[0040] Once the person entering the gate arrives and senses the battery's presence, the access control module reads the access credential, which the central management platform uses to determine the identity category. Simultaneously, the access control module detects the battery's presence, and the central management platform verifies the target battery's information capsule, including at least source consistency verification, field integrity verification, and battery-related verification, generating a comprehensive verification result. By simultaneously capturing both the "person" (identity category) and the "battery" (present and verifiable information capsule) at the moment of passage, basic evidence linking the person and the battery is established, enhancing anti-counterfeiting capabilities and judgment accuracy.

[0041] Furthermore, the central management platform generates verification results after completing the information capsule verification. These verification results include at least source consistency results, field integrity results, timeliness results, and cell-linkage results. When any of the aforementioned sub-results meets preset conditions, the platform allows the information capsule to proceed to the subsequent evidence fusion stage. If any sub-result fails to meet the preset conditions, the platform marks the current access as abnormal input and initiates a process of prohibiting access or requiring manual review. By splitting the verification results into multiple sub-results and outputting them separately, the operational process of verifying the information capsule can be concretized, facilitating direct retrieval of subsequent verification evidence packages.

[0042] It should be noted that, to further clarify the triggering conditions for each sub-item of the verification result, the source consistency result is triggered as passed when the source identifier, device identifier, or signature verification value of the information capsule is consistent with the battery module file registered on the platform.

[0043] The field integrity result is triggered as pass when the information capsule contains at least the unique identifier of the target battery, the identifier of this retrieval event, the retrieval timestamp, the retrieval location identifier, the random verification code, and the retrieval voucher; the timeliness result is triggered as pass when the time difference between the current access control time and the retrieval timestamp is within a preset valid time window, and as fail when it exceeds the preset valid time window.

[0044] The battery carrying association result is triggered as "same carrying" when the identity category of the current travel subject, the travel credential identifier, and the random verification code in the information capsule or the preset correspondence established by retrieving the credential match; otherwise, it is triggered as "different carrying". When the source consistency result, field integrity result, and timeliness result are all passed, and the battery carrying association result has output a clear conclusion, the central management platform writes the verification result into the subsequent verification data package; when any of the above results do not meet the conditions, the central management platform records the passage as abnormal input and triggers the prohibition of passage or manual review process.

[0045] The central management platform aggregates verification results, battery status tags, access rules, and information capsule references to generate a Generative Verification Package (GVP). Based on the GVP, it calculates the behavior determination result, such as legal, suspected, or illegal, and outputs the corresponding release or prohibition command to the access control module. The GVP and the determination result are stored simultaneously. This forms an integrated closed loop from evidence generation, behavior determination, execution, to archiving, reducing manual intervention and inconsistent interpretations, and improving traceability and auditability.

[0046] In summary, this anti-theft method forms a complete closed-loop anti-theft process through configuration and binding, battery detection and removal and transmission to the information capsule, platform push notification and status tag generation, door access card reading and battery presence detection, platform verification of the information capsule and generation of verification results, fusion of verification results with status tags, access rules and information capsule to form a verification evidence package, platform judgment and issuance of access or prohibition commands, execution by the access control module, and platform record keeping.

[0047] In one specific embodiment, the random verification code carried in the information capsule is used to identify the current retrieval event of the target battery and participate in the gate verification. When the access subject arrives at the access control point, the access control module reads its access token to obtain the identity category. The central management platform extracts the random verification code for this retrieval from the information capsule corresponding to the target battery and performs association verification with the current identity category and access token identifier: if the three match under the preset association relationship, the same battery-carrying association result is obtained; if they do not match, different battery-carrying association results are obtained. The battery-carrying association result, as part of the verification result, is directly used for subsequent evidence fusion and behavior determination. Specifically, the random verification code can be generated by the central management platform or the battery module based on the unique identifier of the target battery, the identifier of this retrieval event, and the timestamp, and maintains a unique correspondence within the current valid time window.

[0048] Specifically, by linking and verifying identity categories with random verification codes one by one, a clear battery-carrying association result is formed, which definitively binds the "person" (the subject of passage) and the "battery" (the identifier of the target battery for this retrieval) at the moment of passage, effectively suppressing bypass situations such as "borrowing ID for passage / carrying on behalf of others / carrying the wrong battery", and improving the accuracy of passage judgment and anti-counterfeiting capabilities; secondly, the battery-carrying association result is directly entered into the subsequent judgment chain as a structured result (same carrying / different carrying), avoiding subjective errors caused by relying solely on video or human experience, and significantly reducing wrong release and wrong interception; Furthermore, the random verification code, as a data element associated with this retrieval event, enables the platform to complete rapid verification without relying on complex perception, shortening the time delay from on-site perception to judgment output, and enhancing the real-time performance and feasibility of the system. Finally, the battery-related result, as the core output of the verification result, can be further integrated with battery status tags, access rules, etc., thereby completing an automated and traceable access control closed loop without changing the boundaries of the access control hardware.

[0049] Furthermore, when generating the information capsule, the central management platform establishes a temporary association table with the random verification code, the unique identifier of the target battery, the identifier of this retrieval event, and the information of the authorized access entity. After the access control module reads the identity category and access credential identifier of the current access entity, the central management platform calls the random verification code for matching; when the match is successful, it outputs "same carry"; when the match fails, it outputs "different carry". Through this setting, the abstract judgment of who is carrying which target battery can be transformed into a directly comparable association result.

[0050] In one specific embodiment, the retrieval credential in the information capsule is used to record the travel information of the target battery from its retrieval location to its arrival at the access control point. Specifically, the retrieval credential includes at least a retrieval location identifier, retrieval time, target access control number or candidate access control number, and the expected passage direction derived from the relationship between the retrieval location and the access control location. The central management platform pre-stores a community map relationship table, which includes at least the relative positional relationships between parking spaces, carports, or charging stations and each access control point. The battery module writes the retrieval location identifier when generating the information capsule. The central management platform generates the corresponding expected passage direction code based on the retrieval location identifier and the map relationship table, and writes it into the retrieval credential.

[0051] The platform then compares the actual passage direction detected by the access control module with the expected passage direction in the retrieval certificate to obtain a result indicating the reasonableness of the travel direction. Next, it compares the current identity category, current access control number, current time, current direction, and current carrying status with the corresponding entrance / exit rules item by item to determine the legality of the carrying operation. Finally, it merges the information capsule reference identifier, battery carrying association result, travel direction reasonableness result, legality of the carrying operation result, battery status label, access control number, and detection time into the same data record to generate a verification evidence package. Through the above processing, the verification evidence package becomes a structured evidence entity formed by the combination of multiple quantified parameters, which can be directly used for subsequent behavior determination and execution instruction generation.

[0052] Specifically, by comparing travel information with the direction of travel at the access control site, a calculable conclusion of directional rationality is formed. This enables the platform to identify high-risk situations such as "contradicting the retrieval path / abnormal exit direction" at the moment of passage, improving the accuracy and sensitivity of abnormal carrying identification. Secondly, the rationality of the direction is combined with the rules of the entrance and exit (such as port, direction, time window, carrying permission) to calculate whether the carrying is legal. The "actual movement evidence" and "institutional boundaries" are evaluated together to reduce the false release and false blocking caused by judging based on a single factor.

[0053] By generating a verification evidence package containing the above conclusions and citation identifiers, the data chain of evidence, judgment, and subsequent handling is structured and retained, facilitating automated decision-making and post-audit traceability. Finally, the process relies only on the retrieval voucher in the information capsule and the direction perception on the access control side, without requiring additional complex sensing hardware. Therefore, it has good real-time performance, deployability, and scalability, and can be directly applied to closed passage scenarios such as entrances and exits of residential communities, access control systems for park fences, and centralized carport turnstiles.

[0054] In one specific embodiment, after completing the information capsule verification, the central management platform enters the processing stage of determining the behavior of the passing entity based on the judgment result of the verification evidence package. The central management platform first reads the identity category of the current passing entity and compares it with the entry / exit rules to obtain the legality result of the current carrying. Simultaneously, the three inputs used for judgment are clearly defined: the result of carrying the electronic data (i.e., same or different carrying); the rationality of the direction of travel (i.e., reasonable or unreasonable); and the legality of the current carrying (i.e., legal or illegal). The central management platform matches the above three results and generates a judgment result field in the verification evidence package, then outputs the legal behavior, suspected behavior, or illegal behavior according to a preset mapping relationship.

[0055] When the battery carrying association results in different carrying methods, it is directly recorded as an illegal act; when the battery carrying association results in the same carrying method and the direction of travel is reasonable and the carrying is legal, it is recorded as a legal act; when the battery carrying association results in the same carrying method but the direction of travel is unreasonable or the carrying is illegal, it is recorded as a suspected act.

[0056] The above judgment results are written into the verification evidence package for subsequent instruction generation steps. Specifically, the central management platform selects the corresponding rule set based on the identity category of the current entity and embeds the following fields into the verification evidence package: battery carrying association result, travel direction rationality result, legality of this carrying result, corresponding rule entry reference, and handling suggestion field. When the battery carrying association result is different carrying, the platform directly generates a prohibition handling suggestion corresponding to the illegal behavior; when the battery carrying association result is the same carrying and the travel direction is reasonable and this carrying is legal, the platform generates a release handling suggestion corresponding to the legal behavior; when the battery carrying association result is the same carrying but the travel direction is unreasonable or this carrying is illegal, the platform generates a prohibition handling suggestion corresponding to the suspected behavior and conducts manual review.

[0057] Specifically, the three-element composite judgment replaces the single-dimensional judgment, integrating "human-electrical relationship" (electrical carrying association), "movement consistency" (reasonableness of travel direction), and "institutional boundary" (legality of this carrying) within the same evidence system, reducing false releases and false stops. Second, identity-driven rule comparison ensures that different entities adapt to their respective rule sets, making legality judgments individualized and with clear boundaries, avoiding a "one-size-fits-all" approach. Third, the use of deterministic mappings such as "priority rejection for different carrying methods" can provide machine-readable and verifiable judgment results instantly upon passage, improving real-time performance and traceability. Fourth, the judgment results are written into the verification evidence package as embedded fields, facilitating co-retention with previous verification information and status tags to form a standardized evidence chain, supporting subsequent automated command output and post-event auditing. All of the above effects are achieved through platform-side rules and data processes without changing the existing access control hardware, demonstrating good implementability and scalability.

[0058] In one specific embodiment, after generating the verification data packet, the central management platform enters the behavior determination and instruction output stage. The platform first determines the current access subject's identity category as a resident based on the access pass read by the access control module. Simultaneously, it reads the battery carrying association result from the verification data packet and confirms it as the same person carrying the battery. Then, it compares this access with the corresponding entrance / exit rules for the resident, concluding that the carrying is illegal. The entrance / exit rule comparison can reflect any non-compliance, such as the resident not having carrying permissions at the current doorway, in the current direction, or during the current time period.

[0059] If the following three conditions are met: the user's identity is a resident, the battery carrying is associated with the same user, and the carrying is illegal, the platform will classify the behavior as a suspected offense. Based on this, the platform will generate a prohibition order and send it to the access control module to shut down the access, simultaneously triggering a manual verification process. Manual verification may include pushing a verification request to the user module and the management console, noting the suspected reason and time / port information in the background task, and requiring on-duty personnel or property management staff to verify the user's identity and battery ownership on-site.

[0060] The platform also includes the three input results upon which this judgment was based, the corresponding rule entries, and a timestamp in the verification evidence package for subsequent auditing and review. Before manual verification is completed, the prohibition status remains unchanged; after manual verification is completed, the platform adds the handling conclusion to the evidence package based on the verification results, creating a complete record.

[0061] Specifically, the system differentiates between the resident (a highly credible entity) and the evidence of carrying electricity, which is considered the same act of carrying electricity. It introduces the legal boundary judgment of "illegal carrying" in this instance, enabling timely classification as suspected behavior and prohibition of passage even when a resident is carrying electricity but exceeding their authority. This prevents non-compliant outbound transport from the source while avoiding direct classification as illegal, reducing the probability of false positives while upholding the bottom line of entrance and exit rules. Secondly, the judgment path formed by the three conditions is clear and traceable. The platform writes the input results and corresponding rule entries into the evidence package, facilitating post-event review, responsibility allocation, and strategy optimization, thus improving the system's explainability and compliance.

[0062] Furthermore, the manual verification process is executed in conjunction with the prohibition command, ensuring real-time on-site interception while retaining the flexibility for manual confirmation. This allows for necessary human verification to be completed quickly, balancing security and user experience. Finally, the decision is made uniformly by the central management platform, with the access control module only responsible for execution. This clear role boundary facilitates consistent decision-making standards in large-scale deployments across multiple entrances and communities, reducing system maintenance complexity and improving overall protection effectiveness.

[0063] In one specific embodiment, after generating the verification data packet, the central management platform initiates a rapid interception and judgment process for access entities whose identity category is visitor. The platform first uses the access pass read by the access control module to determine the visitor's identity, and within the same time window, extracts necessary judgment parameters from the verification data packet, including the result of carrying a mobile phone, the reasonableness of the travel direction, and the result of whether the current carrying is legal, generated based on the entrance / exit rules. The platform makes decisions in a clearly defined sequence.

[0064] The first step is to check the battery carrying association results. If different items are identified, it is directly considered an illegal act and will not proceed to subsequent calculations. The second step, assuming the battery carrying association results indicate the same item, verifies the legitimacy of the travel direction. If the direction is unreasonable, it is considered an illegal act. The third step, still assuming the battery carrying association results indicate the same item, verifies whether the legality of this carry matches the entry / exit rules applicable to visitors. If it is not legal, it is considered an illegal act. After the determination is completed, the platform generates a prohibition command and sends it to the access control module, which executes the shutdown and simultaneously initiates the manual verification process.

[0065] Manual verification is triggered in the form of a task order on the platform's workbench. It includes an evidence summary of the decision, a reference to the corresponding rule entry, time and port information, pass identification, and battery identification, facilitating quick on-site verification of visitor identity and battery ownership. To ensure consistency and traceability, the platform includes the input values, decision path, and final conclusion of this decision in the verification evidence package, and simultaneously writes the execution results back to the log, forming a complete chain of evidence.

[0066] Specifically, by setting different carrying methods as the highest priority veto condition, high-risk situations such as unauthorized carrying, miscarriage, or impersonation can be intercepted at the gate, reducing decision-making delays caused by continued calculations. The platform only checks the rationality of the travel direction and the legality of the current carrying method if the carrying method is associated with the same item, avoiding unnecessary judgments when the association is not established and reducing the risk of misjudgment. The platform simultaneously records the carrying method association result, the rationality of the travel direction result, and the legality of the current carrying method, along with their sources, in the evidence package, plus corresponding rule entries and time / port information, facilitating post-event auditing, appeal review, and strategy optimization, forming a transparent link from input to output.

[0067] This process relies on platform-side data fusion and existing access control card reading capabilities, requiring no new complex hardware and enabling upgrades to existing access control systems through software strategies. Furthermore, a combination of prohibition and manual verification is used for visitors, ensuring security thresholds at entrances and exits while reserving room for manual access in necessary special scenarios, minimizing interference with normal resident access. Going further, decision-making is centrally implemented on the management platform, with the access control module only responsible for execution. This facilitates maintaining consistent protection standards and operational protocols across multiple entrances and campuses, reducing system complexity and improving overall availability.

[0068] To adapt to different community management rules and visitor management policies, platform parameters are configurable. For example, direction verification can be limited to specific ports or time periods, and legality verification can be integrated with the permitted carrying terms, frequency limits, and effective time windows in the visitor order. When data is missing or timeouts occur, the platform conservatively identifies it as illegal behavior and triggers manual verification, while noting the missing fields and timestamps in the evidence package to ensure the process is secure, controllable, and reproducible. Overall, this embodiment achieves efficient identification and processing of visitor battery carrying behavior with minimal decision branches, achieving comprehensive optimization of security, real-time performance, interpretability, and maintainability.

[0069] In one specific embodiment, the platform first uses the access control module to read the access credential and determine the current access subject's identity category as a maintenance worker. Then, it retrieves the key conclusions calculated for this access from the verification credential package, including the battery carrying association result, the rationality result of the travel direction, and the result of whether the current carrying is legal based on the entrance / exit rules. The platform performs decision matching on the above conclusions, applying the maintenance worker as the target. When the battery carrying association result is the same, the platform further verifies the rationality result of the travel direction and the result of whether the current carrying is legal. If the travel direction is unreasonable or the current carrying is illegal, it is judged as a suspected act, generating an execution command to prohibit access and sending it to the access control module. Simultaneously, a manual verification process is initiated, pushing a verification request to the management console, requiring on-site or back-end verification of personnel identity and battery ownership, and recording the verification progress and results.

[0070] When the battery carrying correlation result indicates different carrying methods, the platform directly determines it as an illegal act, immediately issues a prohibition order, and simultaneously initiates manual verification to prevent further escalation of risks such as proxy carrying or incorrect carrying. The platform writes the key evidence points on which the above determination is based into the verification evidence package, including the pass identifier used, entrance and time information, target battery identifier, battery carrying correlation result, result of reasonableness of travel direction, result of whether this carrying is legal, and corresponding rule entries referenced. The execution result and manual verification trigger information are archived together to form a complete record. In the event of data missing or timeout, the platform still handles the situation conservatively according to the rules of this embodiment in the maintenance scenario, prioritizing port security, and records the reason for the missing data and time stamp in the evidence package for subsequent review.

[0071] Specifically, considering the typical business characteristics of the maintenance end, situations where the same item is carried but does not conform to the direction or rules are categorized as suspected behavior. This not only immediately blocks non-compliant flow at the entrance but also avoids directly classifying procedural abnormalities of maintenance personnel as illegal, reducing the probability of false positives and retaining necessary space for manual review. Secondly, setting clear boundaries for different types of carrying allows for rapid identification of high-risk events such as carrying on behalf of others, carrying the wrong item, and carrying under false names in the high-frequency access environment of the maintenance end, improving the certainty of interception and the ability to resist bypassing. Thirdly, the central management platform uniformly completes evidence reading, judgment, and instruction issuance, while the access control module only performs access control. The clear role boundaries facilitate consistent standards and strategies under multiple entrances and multiple campus conditions, reducing operational complexity.

[0072] Furthermore, by embedding judgment inputs, rule references, time points, and execution results within the verification evidence package, a complete chain of evidence is formed, supporting post-event auditing, appeal review, and strategy optimization, thereby improving the system's interpretability and traceability. Finally, the entire process is data- and rule-based, and can be deployed within the capabilities of existing access control hardware. On-site, only access credentials and battery presence detection are required; the platform completes the calculations and decisions, enabling real-time, robust, and controllable management of battery-carrying behavior at the maintenance end without altering the channel layout.

[0073] In one specific embodiment, when the access control module does not detect the presence of a battery, the central management platform initiates a silent verification process. The access control module first reads and uploads the access pass of the current user, and the platform parses the identity category as resident, visitor, or maintenance personnel. Simultaneously, the platform retrieves a snapshot of the battery status tag associated with the user's account to indicate whether there are any battery records pending confirmation, under alarm, or requiring special attention. Subsequently, the access control system performs physical feature detection on the user's belongings within the near-field range according to the detection strategy issued by the platform. The detection content may include, but is not limited to, metal volume distribution, conductivity and electromagnetic response characteristics, shape and size profile, weight and density range, and thermal imaging shape, to determine whether there are physical features similar to a two-wheeled vehicle battery.

[0074] The detection results are aggregated by the platform into silent suspected battery results, indicating whether a suspected battery exists at the current moment, along with its physical characteristics and corresponding detection summary. Specifically, the physical characteristics of the suspected battery may include one or more of the following: metal volume distribution characteristics, size range characteristics, weight or density range characteristics, and electromagnetic response characteristics. The central management platform integrates these detection results with the identity category of the current transit entity and the battery status tag to generate a silent verification result, and writes the credential identifier, detection time, port information, feature summary, and tag snapshot into the silent evidence record. Through this setting, even if the target battery does not actively emit a presence signal, the system can still rely on near-field detection at the entrance to complete a fallback identification.

[0075] It should be noted that, to further clarify the detection basis for silent verification, the near-field detection on the access control side does not abstractly judge any personal belongings, but rather outputs feature quantities that can be compared by the platform. These feature quantities may include at least one or more of the following: metal volume distribution value, size range value, weight or density range value, electromagnetic response value, and thermal imaging profile value. The central management platform pre-stores feature template ranges corresponding to the two-wheeled vehicle battery. When at least one of the detected feature quantities falls into the corresponding template range and the battery status label indicates a record pending confirmation, alarm, or verification, a silent suspected carrying result is generated indicating the presence of suspected battery physical characteristics. When the detected feature quantity does not fall into the corresponding template range, or although there is a local approximation but it does not reach the preset matching threshold, a silent suspected carrying result is generated indicating the absence of suspected battery physical characteristics.

[0076] Furthermore, the silent verification result is jointly triggered by the identity category, the silent suspected portability result, and the battery status tag. The visitor or maintenance terminal will prioritize triggering a high-risk conclusion when the silent suspected portability result indicates the presence of suspected battery physical characteristics. The resident terminal will output a legal, suspected, or manually reviewed conclusion based on the authorization status, alarm status, or pending confirmation status corresponding to the battery status tag.

[0077] Specifically, it enables fallback verification under conditions where wireless detection is imperceptible or blocked, compensating for the blind spots of monitoring that rely solely on battery wireless presence detection, and ensuring that entrances and exits still have the ability to detect abnormal environments. Secondly, it introduces the identity category of the person passing through and its associated battery status tag as prior information into near-field detection and judgment, improving the robustness and specificity of judgment in silent scenarios. This not only increases sensitivity to accounts with risk tags but also reduces the probability of false alarms for normal accounts.

[0078] Furthermore, the platform centrally aggregates and instantly generates silent verification results for suspected cross-contamination, enabling rapid judgment without altering the access control hardware structure. This shortens the time path from detection to judgment, meeting the requirements for real-time access control. In addition, the platform fully records credential identifiers, detection elements, threshold versions, and timeframes, forming a traceable chain of evidence for easy post-event review, appeals review, and strategy optimization. Finally, detection strategies and thresholds are centrally configured through the platform, allowing for flexible adjustments based on different communities, entrances, and time periods, balancing security boundaries with user experience. This makes it suitable for various enclosed access scenarios, including main entrances of residential communities, park perimeter fencing, and centralized parking garage turnstiles.

[0079] In one specific embodiment, when the access control module does not detect the presence of a battery but near-field detection indicates the presence of physical characteristics suggestive of a battery, the central management platform uses a silent verification process to determine the current passage. The access control module first reads the access pass, and the platform parses the identity category accordingly. If the identity category is visitor or maintenance personnel, and the silent suspicion result indicates the presence of a suspected battery, then this passage is considered illegal carrying. To ensure port security and complete evidence collection, in this embodiment, the system generates a security handling command from the central management platform, and the access control module executes the passage blocking action. Simultaneously, the platform coordinates with related subsystems such as charging control, on-site evidence collection, and manual verification. The security handling instructions include the following: passage blocking, used to immediately keep the gate closed or locked and set an appropriate holding time; charging disabling, used to synchronize the charging control service on the platform or the local charging controller to a charging disabling state to prevent subsequent on-site charging activities; on-site evidence collection, used to initiate snapshots and short-term video recording, record time and port identification, save near-field detection summaries and access pass identification; and manual verification, used to generate verification tasks on the management console, notifying security or property personnel to verify personnel identities, physical items, and associated residents according to procedures. To ensure consistency and traceability, the platform also writes the silent verification results, identity category, detection time, port information, and execution status of the security handling instructions into the evidence record, and marks abnormal interruptions or timeouts.

[0080] Specifically, firstly, it establishes a fallback capability for situations where wireless signals are imperceptible or blocked. Even without detected wireless signals from the battery, it can still make an actionable determination of illegal carrying based on near-field physical characteristics and battery type, thus compensating for monitoring blind spots. Secondly, the command chain is clear. A central management platform uniformly generates security handling commands, the access control module executes the passage blocking action, and the platform coordinates evidence collection and manual review processes, reducing overlapping responsibilities and improving the consistency of on-site handling. Thirdly, the handling actions are standardized. Passage blocking, charging disabling, on-site evidence collection, and manual review constitute a fixed set of actions, facilitating the replication of the same strategy across multiple entrances and communities, reducing operational complexity. Fourthly, the evidence chain is complete. The key elements of the silent verification results and handling process are uniformly recorded in the evidence log, providing a reliable basis for subsequent audits, appeals, and strategy optimization. Fifthly, risk spillover is controllable. The combined effect of charging prohibition and blocking prevents suspected batteries from continuing to circulate or be used within the scenario, thereby reducing property and personal risks. Sixth, the transformation cost is low. This embodiment relies on the existing card reading, near-field detection and access control capabilities. It can be activated by issuing policies from the platform without changing the hardware form of the channel.

[0081] In one specific embodiment, the battery module consists of a sway detection unit and an orientation detection unit that are interconnected. These two units share the same set of inertial sensor data channels and perform joint determination locally within a short time window. The sway detection unit calculates sway intensity data characterizing the lifting action based on acceleration and angular velocity sequences, after gravity component separation, bandpass filtering, and peak suppression. This intensity data can be obtained by combining short-time energy, peak count, and rate of change. The orientation detection unit uses the vehicle's installation posture as a reference, obtains the current three-dimensional orientation of the battery through posture calculation, and calculates the orientation deviation data relative to the installation posture. The installation posture reference can be automatically calibrated upon completion of the last legitimate charge or during power-on self-test, and minor drift compensation is performed during daily use.

[0082] The judgment logic employs a time consistency constraint: within a preset time window, the battery module determines that the removal state is met and generates a removal event if and only if the shaking intensity data output by the shaking detection unit is not less than the first threshold, and the orientation deviation data output by the orientation detection unit is not less than the second threshold, and the two have a minimum overlapping duration within the window. To reduce the impact of environmental disturbances, the module has a built-in anti-shake mechanism to suppress single road impacts, short-term relocation, or small-angle swings; when the sensor saturates, stops collecting data, or exceeds the temperature drift limit, the module will terminate the judgment and record the reason to avoid false triggering. The threshold, window length, and holding time can all be issued by the central management platform according to scenario strategies, supporting on-site self-adaptation for different vehicle models and installation locations.

[0083] Specifically, firstly, joint criteria improve accuracy. Removal is only considered when a shaking motion (like being picked up) and a significant change in orientation occur simultaneously, effectively distinguishing between normal pushing, slight swaying, and minor adjustments during parking and picking up—non-disassembly actions—significantly reducing false alarm rates. Secondly, time consistency enhances robustness. Window constraints and the shortest holding time prevent sporadic triggering caused by instantaneous vibrations or single peaks, ensuring stable judgment even on bumpy roads and stairwells. Thirdly, reference posture self-calibration guarantees long-term usability. The installation posture is automatically updated during legitimate charging or power-on self-test, with minor drift compensation to address cumulative errors caused by sensor bias and assembly tolerances over long-term use. Fourthly, low-power real-time response. The shaking detection unit can act as a wake-up source in low-power mode, initiating full posture calculation only when the intensity approaches the threshold, balancing battery life and real-time performance to ensure removal events are identified and reported in a very short time. Fifthly, engineering deployment is user-friendly. Thresholds and window parameters can be remotely configured, facilitating strategy customization based on differences in residential areas, ports, time periods, and vehicle models, achieving consistent judgment criteria without hardware modifications. Sixth, the coupling with subsequent processes is natural. This determination provides a clear trigger point and timestamp for the generation of the information capsule, enabling subsequent verification and evidence fusion at the access control point to form a complete and traceable chain with the same retrieval event as the main thread.

[0084] In summary, this embodiment achieves accurate, robust, and low-power identification of battery removal status through dual threshold coordination of shaking and orientation, along with time consistency constraints, without adding complex hardware. This provides a reliable front-end event basis for subsequent access determination and risk handling.

[0085] The above description is merely an embodiment of this application. It should be noted that those skilled in the art can make improvements without departing from the inventive concept of this application, but these improvements all fall within the protection scope of this application.

Claims

1. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries, characterized in that, An application in a community security system, comprising a battery module, a user module, and a central management platform interconnected by data, and an access control module connected to the central management platform by data, the method comprising: Configure access credentials for different access entities, and divide the access entities into resident terminals, visitor terminals and maintenance terminals according to the access credentials. Bind each target battery to the corresponding resident terminal and establish access rules. The battery module monitors the installation posture of the target battery. When the removal status is met, the battery module generates an information capsule and sends it to the central management platform. Based on the information capsule, a removal reminder is sent to the user module, the user module receives the informed result based on the removal reminder, a battery status tag is generated and stored; The access control module reads the access token to obtain the identity category and senses the presence signal of the battery. If the signal is sensed, the information capsule of the target battery is verified and a verification result is generated. Based on the verification result and the battery status tag of the battery, a verification data package is generated by combining the access rules and information capsule. Based on the judgment result of the verification data package, the behavior judgment of the passing subject is obtained, and a pass instruction or a prohibition instruction is output based on the judgment result.

2. The intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries according to claim 1, characterized in that, The information capsule includes a random verification code for the current battery, and the verification result includes a battery-carrying association result obtained by associating the identity category with the random verification code.

3. The intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries according to claim 2, characterized in that, The step "Generating a verification evidence package by combining the entry / exit rules and the information capsule" includes the following steps: The information capsule also includes a retrieval certificate for the current battery. The retrieval certificate includes travel information recorded from the current battery retrieval location to the arrival at the access control station. The access control module senses the current travel direction of the main body, judges the rationality of the travel direction of the main body based on the travel information, and judges whether the current carrying is legal in combination with the entrance and exit rules, generating a verification evidence package.

4. The intelligent asset security monitoring and anti-theft method for two-wheeled vehicle batteries according to claim 3, characterized in that, The step "Based on the judgment result of the verification data packet, determine the behavior of the passing subject" includes the following steps: Read the identity category of the current passage subject, compare it with the entrance and exit rules, determine the legality of this carrying, and generate a judgment result of the verification data packet based on the matching of the carrying association result, the rationality of the direction of travel and the legality of this carrying; The battery carrying association results include the same carrying and different carrying, and the behavior judgment includes legal behavior, illegal behavior and suspected behavior.

5. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries according to claim 4, characterized in that, The step "Based on the judgment result of the verification data packet, determine the behavior of the passing subject, and output a pass instruction or a prohibition instruction based on the judgment result" includes the following steps: If the identity category of the person passing through is determined to be a resident, and the carrying of electricity is associated with the same person but the carrying of electricity is illegal, the central management platform will determine it as the suspected behavior, prohibit passage, and conduct manual verification.

6. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries according to claim 5, characterized in that, The step "Based on the judgment result of the verification data packet, determine the behavior of the passing subject, and output a pass instruction or a prohibition instruction based on the judgment result" includes the following steps: If the identity of the person passing through is determined to be a visitor, and the following conditions are met: the battery carrying association is different, the direction of travel is unreasonable, or the current carrying is illegal, then the central management platform will determine it as an illegal act, prohibit passage, and conduct manual verification.

7. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries according to claim 5, characterized in that, The step "Based on the judgment result of the verification data packet, determine the behavior of the passing subject, and output a pass instruction or a prohibition instruction based on the judgment result" includes the following steps: If the identity of the entity passing through is determined to be a maintenance unit, and the battery carrying association is the same, and the direction of travel is unreasonable or the current carrying is illegal, the central management platform will determine it as the suspected behavior, prohibit passage, and conduct manual verification. If the battery carrying association is not specified, the central management platform will determine it as an illegal act, prohibit passage, and conduct manual verification.

8. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries according to claim 1, characterized in that, The step "sensing the presence signal of the battery through the access control module" also includes the following step: If no battery is detected, the system reads the current traveler's pass and, based on the battery status tag, performs near-field detection to determine if the current traveler has any physical characteristics that suggest a battery, thus obtaining a silent suspected battery carrying result. Based on the current traveler's identity category and the silent suspected battery carrying result, a silent verification result is generated to determine whether the current traveler is legally carrying the battery.

9. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries according to claim 8, characterized in that, The step "Based on the identity category of the current traveler and the silent suspected carrying result, generate a silent verification result to determine whether the current traveler is legally carrying the item" includes the following steps: When physical characteristics of a suspected battery are detected, if the current access subject is classified as a visitor or maintenance worker, it is determined to be illegal carrying. The access control module issues a security handling instruction, which includes blocking access, disabling charging, collecting on-site evidence, and manual verification.

10. A method for intelligent asset security monitoring and anti-theft of two-wheeled vehicle batteries according to claim 1, characterized in that, The battery module includes a shaking detection unit and an orientation detection unit that are interconnected. When the shaking intensity data collected by the shaking detection unit exceeds a preset shaking threshold and the orientation detection unit detects that the battery orientation deviation data exceeds a preset deviation threshold, the battery module determines that it meets the requirements for removal.

Images