Control method and system for positioning scanning gun based on RFID electronic chip

Abstract

The invention relates to the technical field of automatic identification and data acquisition, discloses a control method and system for positioning a scanning gun based on an RFID electronic chip, and aims to solve the problems of remnant detection failure and misjudgment caused by shielding and deformation of existing video monitoring. A unique identification RFID chip is arranged on the surface of an object, a multi-protocol scanning gun terminal is combined to capture label signals in real time, a space coordinate mapping module is used for achieving three-dimensional positioning, a track generation engine restores a moving path, and a retention judgment unit recognizes abnormal retention according to a time threshold value and a behavior mode and triggers an alarm linkage mechanism. According to the method, an active identity binding and trajectory tracking system is constructed, so that the dependence on a visual environment is eliminated, the remnant identification precision, the anti-interference capability and the response speed in a security scene are remarkably improved, and all-weather stable operation and large-scale convenient deployment are supported.

Description

Technical Field

[0001] This application relates to the field of automatic identification and data acquisition technology, and in particular to a control method and system for a positioning scanner based on an RFID electronic chip. Background Technology

[0002] With the widespread application of intelligent security monitoring systems in banks, transportation hubs, public venues, and locations storing important documents, the ability to automatically identify and warn of abandoned objects in the environment has become a core requirement for ensuring public safety. Current mainstream solutions rely on foreground target tracking technology in video image sequences, inferring whether an object is suspicious by detecting moving objects and determining their stationary state. However, this method heavily depends on the premise that the target is stably visible in consecutive frames without significant distortion. In complex real-world scenarios, if the target is occluded, moves rapidly, or experiences sudden changes in lighting, tracking can easily break down or be misjudged as stationary, leading to missed detections or false alarms, severely weakening the system's reliability and practicality.

[0003] Among these, object detection methods based on region segmentation and frame difference analysis have gradually become a research hotspot. The core idea is to divide the monitoring screen into several independent monitoring units and perform background modeling and inter-frame difference calculation on specific regions at fixed time intervals. This approach aims to avoid the strong dependence of traditional tracking algorithms on target continuity, instead capturing potential static anomalies through local pixel changes. Nevertheless, existing technologies still generally suffer from rigid background update strategies, a lack of adaptability in difference threshold settings, and sensitivity to transient occlusion or light and shadow interference, making it difficult to achieve high-precision, low-false-detection object identification in dynamic and ever-changing real-world environments.

[0004] Existing technologies often suffer from distorted differential results when dealing with high-speed moving targets because the background model update rate cannot keep up with the target's transient changes. Furthermore, in scenarios where the target is temporarily obscured and then reappears, the re-emerging object is easily misidentified as a new remnant. In addition, most systems lack detailed modeling of regional spatiotemporal features, failing to effectively distinguish between real remnants and environmental disturbances (such as objects blown by the wind or brief human presence), leading to frequent triggering of invalid alarms. These deficiencies are particularly pronounced in densely populated and complex security areas, necessitating a remnant detection and control system that integrates regional dynamic perception, adaptive frame difference calculation, and intelligent discrimination mechanisms to improve the response accuracy and operational stability of public safety protection systems. Summary of the Invention

[0005] To achieve the above objectives, this application provides the following technical solution: According to a first aspect of the present invention, the present invention claims protection for a method for controlling a positioning scanner based on an RFID electronic chip, comprising: Passive UHF RFID tags are deployed at key locations or on the surface of high-risk items within a pre-defined security area using RFID electronic chip deployment units. Each tag has a built-in globally unique serial number and is compatible with long-term attachment requirements of different material carriers. The scanner control terminal periodically transmits electromagnetic excitation signals and receives RFID tag reflection response data within its effective range. The scanner control terminal integrates a radio frequency transceiver, a signal strength analysis circuit, a timestamp synchronization module, and a wireless communication interface. The spatial coordinate mapping module calculates the absolute coordinate position of the currently read tag in physical space based on the received tag signal strength value and arrival angle information, combined with the pre-stored three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector, using triangulation or polygonal positioning algorithms. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. A static threshold rule set is set using a dwell determination logic unit. When the item corresponding to a certain tag stays in an unauthorized area for a continuous time exceeding the preset maximum allowable dwell time, or when its movement trajectory shows an abnormal pattern of unexpected return, lingering in place, or sudden disappearance followed by recurrence, a suspicious event is triggered. After receiving the detention determination result, the alarm linkage execution agency activates the sound and light warning device, pushes the alarm information to the central monitoring platform, retrieves the footage from nearby cameras for auxiliary verification, and simultaneously records the time, location, relevant tag number and related trajectory data of the incident for subsequent traceability and evidence collection.

[0006] Furthermore, the RFID tag supports an anti-metal interference packaging structure, with a flexible polyimide film as the substrate, an internally etched dipole antenna pattern, and an epoxy resin protective coating on the outside of the chip encapsulation layer.

[0007] Furthermore, the scanner control terminal has a built-in dual-mode communication architecture, the main control chip is an ARM Cortex-M quad-series microcontroller, runs a real-time operating system kernel, and is equipped with 256 megabytes of flash memory and 64 megabytes of random access memory. The RF front end adopts a zero intermediate frequency direct conversion architecture, the local oscillator phase noise is less than -110 dB / Hertz, and the receiving sensitivity is better than -80 dBm. The time synchronization mechanism relies on the network time protocol to obtain a global clock reference with microsecond-level precision from the time server.

[0008] Furthermore, the spatial coordinate mapping module is deployed on a regional server or edge computing node, and the basic map data comes from building information model or laser point cloud mapping results, which are divided into cubic grid units with a side length of 0.5 meters after rasterization. Each scanner installation position has known fixed coordinates in the three-dimensional coordinate system, and the radiation direction angle and elevation angle are determined through on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the previous moment's position estimate as the initial guess, combined with velocity vector constraints to iteratively optimize the current position solution. In the case where only one scanner captures the tag, the tag position is projected to a point 70% of the nominal maximum reading distance on the main lobe axis of that scanner, and the positioning accuracy level is marked as coarse.

[0009] Furthermore, the trajectory generation engine uses a sliding window mechanism to maintain historical trajectory segments of all active tags within the last 30 minutes, and the window length is adjustable; The trajectory interpolation algorithm uses a cubic spline curve fitting method, inserting intermediate transition points between two adjacent measured coordinate points to smooth the trajectory trend, with the interpolation step size set to 0.1 seconds; The trajectory compression strategy uses the Douglas-Puk algorithm to retain key inflection points with significant curvature changes and remove redundant straight line segments and intermediate sampling points. The trajectory feature extraction module calculates the total travel length, average movement speed, directional entropy index, number of dwell points, and cumulative duration distribution histogram of each trajectory as input feature vectors for subsequent behavior pattern classification; The detention determination logic unit has a built-in multi-level discrimination rule library. The first level rule is a hard time threshold judgment, and different maximum allowable detention time limits are set for different types of areas. The second level of rule is trajectory shape matching. Predefined templates of typical abnormal behaviors such as U-shaped return, spiral wandering, and sudden stop and disappearance are used. If the similarity score between the current trajectory and each template exceeds the preset threshold, it is judged as suspicious. The third-level rule is context-based reasoning, which combines the current population density statistics, the movement status of adjacent tags, and environmental sensor feedback data on temperature, humidity, and vibration to comprehensively assess the probability of a lingering event. All judgment results are accompanied by a confidence score. Scores below 0.7 are entered into the manual review queue, while scores above 0.9 directly trigger the highest level alarm.

[0010] Furthermore, the alarm linkage actuator is configured with a tiered response strategy. The primary response action includes displaying a flashing red warning box on the local scanner display and playing a buzzer sound. Intermediate response actions include pushing an alarm card containing the tag number, last appearing coordinates, dwell time, and a thumbnail image of the trajectory to the large screen in the security duty room. Advanced response actions include automatically controlling the electric access control system to lock relevant channels, initiating drone patrol routes to fly to the incident area, and calling in panoramic cameras to focus and capture high-definition close-up images and save the original video stream; all response action execution logs are encrypted and stored in a blockchain distributed ledger; An open application programming interface is provided for third-party security management platforms to access, supporting customized alarm policy configuration and historical event retrospective query functions; A self-learning optimization module is added to regularly collect real alarm cases and manual review conclusions to construct a positive and negative sample training set, and the gradient boosting decision tree algorithm is used to update the parameters of the detention judgment model. It supports an online firmware upgrade mechanism that uses secure over-the-air download technology to remotely push new versions of positioning algorithms, communication protocol stacks, or vulnerability patches, enabling feature iteration without interrupting the operation of on-site equipment.

[0011] According to a second aspect of the present invention, the present invention claims protection for a positioning scanner control system based on an RFID electronic chip, comprising: The RFID electronic chip deployment unit is used to deploy passive ultra-high frequency RFID tags at key locations or on the surface of high-risk items within a preset security area. Each tag has a built-in globally unique serial number and is compatible with long-term attachment requirements of different material carriers. The scanner control terminal is used to periodically transmit electromagnetic excitation signals and receive RFID tag reflection response data within its effective range. The scanner control terminal integrates a radio frequency transceiver, a signal strength analysis circuit, a timestamp synchronization module, and a wireless communication interface. The spatial coordinate mapping module is used to calculate the absolute coordinate position of the currently read tag in physical space based on the received tag signal strength value and arrival angle information, combined with the pre-stored three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector, using triangulation or polygonal positioning algorithms. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. The loitering determination logic unit is used to set a static threshold rule set. When the item corresponding to a certain tag stays in the unauthorized area for a continuous time longer than the preset maximum allowed loitering time, or when its movement trajectory shows an abnormal pattern of unexpected return, lingering in place, or sudden disappearance followed by recurrence, a suspicious event marker is triggered. The alarm linkage actuator is used to activate the sound and light warning device, push alarm information to the central monitoring platform, retrieve the footage from nearby cameras for auxiliary verification after receiving the detention determination result, and simultaneously record the time, location, relevant tag number and related trajectory data of the event for subsequent traceability and evidence collection.

[0012] Furthermore, the tags deployed by the RFID electronic chip deployment unit support an anti-metal interference packaging structure. The substrate is a flexible polyimide film with an internally etched dipole antenna pattern. The chip encapsulation layer is covered with epoxy resin protective adhesive, and the overall thickness does not exceed 0.5 mm. Before leaving the factory, an unalterable 16-digit hexadecimal unique identifier is burned in, and users can customize the extended storage area to write additional attribute information such as item category, department, and responsible person's name.

[0013] Furthermore, the scanner control terminal has a built-in dual-mode communication architecture, and the main control chip is an ARM Cortex-M quad-series microcontroller that runs a real-time operating system kernel and is equipped with 256M bytes of flash memory and 64M bytes of random access memory. The RF front end adopts a zero-IF direct conversion architecture, the local oscillator phase noise is less than -110 dB per Hz, and the receiving sensitivity is better than -80 dBm.

[0014] Furthermore, the spatial coordinate mapping module is deployed on a regional server or edge computing node, and the basic map data comes from building information model or laser point cloud mapping results, which are divided into cubic grid units with a side length of 0.5 meters after rasterization. Each scanner installation position has known fixed coordinates in the three-dimensional coordinate system, and the radiation direction angle and elevation angle are determined through on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the previous moment's position estimate as the initial guess, combined with velocity vector constraints to iteratively optimize the current position solution. In the case where only one scanner captures the tag, the tag position is projected to a point 70% of the nominal maximum reading distance on the main lobe axis of that scanner by default, and the positioning accuracy level is marked as coarse.

[0015] This application relates to the field of automatic identification and data acquisition technology, and discloses a control method and system for a positioning scanner based on an RFID electronic chip. It aims to solve the problems of detection failure and misjudgment of abandoned objects caused by obstruction and deformation in existing video surveillance systems. The system uses a uniquely identified RFID chip deployed on the surface of the object, combined with a multi-protocol scanner terminal to capture the tag signal in real time. A spatial coordinate mapping module achieves three-dimensional positioning, a trajectory generation engine reconstructs the movement path, and a loitering judgment unit identifies abnormal loitering based on time thresholds and behavioral patterns, triggering an alarm linkage mechanism. This application, by constructing an active identity binding and trajectory tracking system, eliminates dependence on the visual environment, significantly improving the accuracy, anti-interference capability, and response speed of abandoned object recognition in security scenarios, and supports stable operation around the clock and convenient large-scale deployment. Attached Figure Description

[0016] Figure 1 A flowchart illustrating the operation of a positioning scanner control method based on an RFID electronic chip, as claimed in an embodiment of the present invention. Figure 2 A structural block diagram of a positioning scanner control system based on an RFID electronic chip, as claimed in the embodiments of the invention. Detailed Implementation

[0017] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0018] The terms "first," "second," and "third" in this application are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the figures). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0019] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0020] The core objective of this invention is to address the fundamental technical shortcomings of existing video surveillance technologies in detecting abandoned items, such as tracking failures, inaccurate static identification, and high rates of missed and false detections due to target occlusion, deformation, or concealed placement. This system abandons the traditional passive monitoring mode that relies solely on visual image analysis, instead constructing an active, traceable, and highly robust physical object identification and dynamic trajectory tracking system. By pre-installing RFID electronic chips with unique identification capabilities within a controlled area, and combining this with dedicated handheld or fixed scanning devices, the system achieves real-time location locking, movement path reconstruction, and automatic identification of abnormal loitering behavior for all chip-carrying items within the area. This avoids the high sensitivity of visual algorithms to interference factors such as changes in lighting, viewpoint obstruction, and target deformation at the source, significantly improving the accuracy and response speed of suspicious abandoned item identification in security scenarios.

[0021] According to the first embodiment of the present invention, referring to Figure 1 This invention claims protection for a method for controlling a positioning scanner based on an RFID electronic chip, comprising: Passive UHF RFID tags are deployed at key locations or on the surface of high-risk items within a pre-defined security area using RFID electronic chip deployment units. Each tag has a built-in globally unique serial number and is compatible with long-term attachment requirements of different material carriers. The scanner control terminal periodically transmits electromagnetic excitation signals and receives RFID tag reflection response data within its effective range. The scanner control terminal integrates a radio frequency transceiver, a signal strength analysis circuit, a timestamp synchronization module, and a wireless communication interface. The spatial coordinate mapping module calculates the absolute coordinate position of the currently read tag in physical space based on the received tag signal strength value and arrival angle information, combined with the pre-stored three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector, using triangulation or polygonal positioning algorithms. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. A static threshold rule set is set using a dwell determination logic unit. When the item corresponding to a certain tag stays in an unauthorized area for a continuous time exceeding the preset maximum allowable dwell time, or when its movement trajectory shows an abnormal pattern of unexpected return, lingering in place, or sudden disappearance followed by recurrence, a suspicious event is triggered. After receiving the detention determination result, the alarm linkage execution agency activates the sound and light warning device, pushes the alarm information to the central monitoring platform, retrieves the footage from nearby cameras for auxiliary verification, and simultaneously records the time, location, relevant tag number and related trajectory data of the incident for subsequent traceability and evidence collection.

[0022] In this embodiment, the RFID electronic chip deployment unit is responsible for embedding or pasting passive UHF RFID tags at key locations or on the surface of high-risk items within a preset security area. Each tag has a built-in globally unique serial number, and its physical size and packaging form are adapted to the long-term adhesion requirements of different material carrier surfaces. The scanner control terminal is a handheld or wall-mounted device with a directional antenna and multi-protocol compatible read / write capability. It integrates an RF transceiver, signal strength analysis circuit, timestamp synchronization module and wireless communication interface to periodically transmit electromagnetic excitation signals and receive reflected response data from RFID tags within its effective range. The spatial coordinate mapping module pre-establishes a three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector. Based on the received tag signal strength value and arrival angle information, it uses triangulation or polygonal positioning algorithms to calculate the absolute coordinate position of the currently read tag in physical space. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. The detention determination logic unit sets a static threshold rule set. When an item corresponding to a certain tag stays in an unauthorized area for a continuous period of time exceeding the preset maximum allowable detention time, or when its movement trajectory exhibits abnormal patterns such as unexpected reversals, lingering in place, or sudden disappearance followed by reappearance, a suspicious event marker is triggered. After receiving the detention determination result, the alarm linkage execution mechanism immediately activates the audible and visual warning device, pushes alarm information to the central monitoring platform, retrieves footage from nearby cameras for auxiliary verification, and simultaneously records the time, location, tag number involved, and associated trajectory data of the event for subsequent traceability and evidence collection.

[0023] Furthermore, the RFID tag supports an anti-metal interference packaging structure, with a flexible polyimide film as the substrate, an internally etched dipole antenna pattern, and an epoxy resin protective coating on the outside of the chip encapsulation layer.

[0024] In this embodiment, the tag type used by the RFID electronic chip deployment unit supports an anti-metal interference packaging structure. Its substrate is a flexible polyimide film with an internally etched dipole antenna pattern. The chip encapsulation layer is covered with epoxy resin protective glue, which can be firmly attached to metal boxes, plastic shells, paper documents or fabric surfaces without affecting normal reading performance. Each tag is programmed with an unalterable 16-digit hexadecimal unique identifier before leaving the factory, and supports user-defined extended storage areas for writing additional attribute information such as item category, department, and responsible person's name. Furthermore, the scanner control terminal has a built-in dual-mode communication architecture, the main control chip is an ARM Cortex-M quad-series microcontroller, runs a real-time operating system kernel, and is equipped with 256 megabytes of flash memory and 64 megabytes of random access memory. The RF front end adopts a zero intermediate frequency direct conversion architecture, the local oscillator phase noise is less than -110 dB / Hertz, and the receiving sensitivity is better than -80 dBm. The time synchronization mechanism relies on the network time protocol to obtain a global clock reference with microsecond-level precision from the time server.

[0025] Furthermore, the spatial coordinate mapping module is deployed on a regional server or edge computing node, and the basic map data comes from building information model or laser point cloud mapping results, which are divided into cubic grid units with a side length of 0.5 meters after rasterization. Each scanner installation position has known fixed coordinates in the three-dimensional coordinate system, and the radiation direction angle and elevation angle are determined through on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the previous moment's position estimate as the initial guess, combined with velocity vector constraints to iteratively optimize the current position solution. In the case where only one scanner captures the tag, the tag position is projected to a point 70% of the nominal maximum reading distance on the main lobe axis of that scanner by default, and the positioning accuracy level is marked as coarse.

[0026] In this embodiment, the spatial coordinate mapping module is deployed on a regional server or edge computing node. Its basic map data comes from building information model or laser point cloud mapping results, and is divided into cubic grid cells with a side length of 0.5 meters after rasterization. Each scanner has a known fixed coordinate in the three-dimensional coordinate system, and its radiation direction angle and elevation angle are determined by on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the position estimate of the previous moment as the initial guess, and iteratively optimizing the current position solution by combining the velocity vector constraint conditions. In the case where only one scanner captures the signal, the system defaults to projecting the tag position to 70% of its nominal maximum reading distance on the main lobe direction axis of that scanner, and marking the positioning accuracy level as coarse.

[0027] Furthermore, the trajectory generation engine uses a sliding window mechanism to maintain historical trajectory segments of all active tags within the last 30 minutes, and the window length is adjustable; The trajectory interpolation algorithm uses a cubic spline curve fitting method, inserting intermediate transition points between two adjacent measured coordinate points to smooth the trajectory trend, with the interpolation step size set to 0.1 seconds; The trajectory compression strategy uses the Douglas-Puk algorithm to retain key inflection points with significant curvature changes and remove redundant straight line segments and intermediate sampling points. The trajectory feature extraction module calculates the total travel length, average movement speed, directional entropy index, number of dwell points, and cumulative duration distribution histogram of each trajectory as input feature vectors for subsequent behavior pattern classification; The detention determination logic unit has a built-in multi-level discrimination rule library. The first level rule is a hard time threshold judgment, and different maximum allowable detention time limits are set for different types of areas. The second level of rule is trajectory shape matching. Predefined templates of typical abnormal behaviors such as U-shaped return, spiral wandering, and sudden stop and disappearance are used. If the similarity score between the current trajectory and each template exceeds the preset threshold, it is judged as suspicious. The third-level rule is context-based reasoning, which combines the current population density statistics, the movement status of adjacent tags, and environmental sensor feedback data on temperature, humidity, and vibration to comprehensively assess the probability of a lingering event. All judgment results are accompanied by a confidence score. Scores below 0.7 are entered into the manual review queue, while scores above 0.9 directly trigger the highest level alarm.

[0028] In this embodiment, the trajectory generation engine introduces a federated learning framework. Under the premise of ensuring the data privacy of each branch, it aggregates cross-regional trajectory feature statistics for global model training, thereby improving the system's ability to warn of cross-site mobile crimes. The trajectory data anonymization process follows the national cryptographic standard SM4 algorithm, retaining only the relative displacement vector and time interval information, and then participating in model training after removing the specific geographical coordinates.

[0029] Furthermore, the alarm linkage actuator is configured with a tiered response strategy. The primary response action includes displaying a flashing red warning box on the local scanner display and playing a buzzer sound. Intermediate response actions include pushing an alarm card containing the tag number, last appearing coordinates, dwell time, and a thumbnail image of the trajectory to the large screen in the security duty room. Advanced response actions include automatically controlling the electric access control system to lock relevant channels, initiating drone patrol routes to fly to the incident area, and calling in panoramic cameras to focus and capture high-definition close-up images and save the original video stream; all response action execution logs are encrypted and stored in a blockchain distributed ledger; An open application programming interface is provided for third-party security management platforms to access, supporting customized alarm policy configuration and historical event retrospective query functions; A self-learning optimization module is added to regularly collect real alarm cases and manual review conclusions to construct a positive and negative sample training set, and the gradient boosting decision tree algorithm is used to update the parameters of the detention judgment model. It supports an online firmware upgrade mechanism that uses secure over-the-air download technology to remotely push new versions of positioning algorithms, communication protocol stacks, or vulnerability patches, enabling feature iteration without interrupting the operation of on-site equipment.

[0030] In this embodiment, the detention determination logic unit integrates a knowledge graph reasoning engine to construct a semantic association network from structured data such as item attributes, responsible person information, historical violation records, and area access permission matrix. When a tag is detected to appear in a prohibited area, not only is an abnormal location alarm triggered, but the item is also checked simultaneously to see if it has legal access qualifications. If not, an access violation alarm tag is superimposed to achieve multi-dimensional composite risk assessment.

[0031] The alarm linkage actuator has a reserved control interface for IoT devices, which can be connected to the intelligent lighting system to turn on strong light in the alarm area, link the air purification device to release harmless dispersing gas, control the elevator to stop service and lock the floor buttons, forming a multi-layered and three-dimensional security containment situation; the alarm information push supports multilingual automatic translation function to meet the collaborative handling needs of multilingual staff in international venues.

[0032] The IoT control interface for the alarm linkage actuator adopts a RESTful API design, supporting HTTP POST method submission of control commands. The lighting control command format is {"device_id": "light_zone_07", "action": "turn_on_high_beam", "duration_sec": 120}; the air purification command format is {"device_id": "air_purifier_03", "mode": "dispersal_gas", "concentration_percent": 5}; and the elevator control command format is {"device_id": "elevator_group_A", "command": "lock_floor", "floor_list":}. [3,5,7]}; All instructions must carry a JWT token for authentication, and the token is valid for five minutes; Execution results are returned in JSON format, including status code, error message, and execution timestamp; Multilingual translation function is based on a neural machine translation model, supporting mutual translation between Chinese, English, French, Spanish, and Arabic. The translation engine is deployed on edge nodes, with a response latency of less than 200 milliseconds; The translated content covers key texts such as alarm titles, handling suggestions, and contact information, ensuring seamless collaboration among multinational teams.

[0033] According to a second embodiment of the present invention, referring to Figure 2 This invention claims protection for a positioning scanner control system based on an RFID electronic chip, comprising: The RFID electronic chip deployment unit is used to deploy passive ultra-high frequency RFID tags at key locations or on the surface of high-risk items within a preset security area. Each tag has a built-in globally unique serial number and is compatible with long-term attachment requirements of different material carriers. The scanner control terminal is used to periodically transmit electromagnetic excitation signals and receive RFID tag reflection response data within its effective range. The scanner control terminal integrates a radio frequency transceiver, a signal strength analysis circuit, a timestamp synchronization module, and a wireless communication interface. The spatial coordinate mapping module is used to calculate the absolute coordinate position of the currently read tag in physical space based on the received tag signal strength value and arrival angle information, combined with the pre-stored three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector, using triangulation or polygonal positioning algorithms. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. The loitering determination logic unit is used to set a static threshold rule set. When the item corresponding to a certain tag stays in the unauthorized area for a continuous time longer than the preset maximum allowed loitering time, or when its movement trajectory shows an abnormal pattern of unexpected return, lingering in place, or sudden disappearance followed by recurrence, a suspicious event marker is triggered. The alarm linkage actuator is used to activate the sound and light warning device, push alarm information to the central monitoring platform, retrieve the footage from nearby cameras for auxiliary verification after receiving the detention determination result, and simultaneously record the time, location, relevant tag number and related trajectory data of the event for subsequent traceability and evidence collection.

[0034] Furthermore, the tags deployed by the RFID electronic chip deployment unit support an anti-metal interference packaging structure. The substrate is a flexible polyimide film with an internally etched dipole antenna pattern. The chip encapsulation layer is covered with epoxy resin protective adhesive, and the overall thickness does not exceed 0.5 mm. Before leaving the factory, an unalterable 16-digit hexadecimal unique identifier is burned in, and users can customize the extended storage area to write additional attribute information such as item category, department, and responsible person's name.

[0035] Furthermore, the scanner control terminal has a built-in dual-mode communication architecture, and the main control chip is an ARM Cortex-M quad-series microcontroller that runs a real-time operating system kernel and is equipped with 256M bytes of flash memory and 64M bytes of random access memory. The RF front end adopts a zero-IF direct conversion architecture, the local oscillator phase noise is less than -110 dB per Hz, and the receiving sensitivity is better than -80 dBm.

[0036] Furthermore, the spatial coordinate mapping module is deployed on a regional server or edge computing node, and the basic map data comes from building information model or laser point cloud mapping results, which are divided into cubic grid units with a side length of 0.5 meters after rasterization. Each scanner installation position has known fixed coordinates in the three-dimensional coordinate system, and the radiation direction angle and elevation angle are determined through on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the previous moment's position estimate as the initial guess, combined with velocity vector constraints to iteratively optimize the current position solution. In the case where only one scanner captures the tag, the tag position is projected to a point 70% of the nominal maximum reading distance on the main lobe axis of that scanner by default, and the positioning accuracy level is marked as coarse.

[0037] The RFID electronic chip-based positioning scanner control system disclosed in this embodiment achieves all-weather, all-element, and full-process monitoring of the movement status of items within a security area by constructing a digital identity system for physical objects, a high-precision spatial positioning network, an intelligent trajectory analysis engine, multi-dimensional loitering judgment logic, and an automated alarm linkage mechanism. It effectively solves the failure problem of traditional visual monitoring in complex scenarios, significantly improves the accuracy, timeliness, and robustness of abandoned object detection, and provides an innovative technical solution for modern smart city public safety management.

[0038] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0039] Furthermore, the functional units in the various embodiments of this application 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 units described above can be implemented in hardware or as software functional units. The above are merely embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made based on the description and drawings of this application, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0040] The specific embodiments of the invention have been described in detail above, but they are only examples, and this application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this application. Therefore, all equivalent changes, modifications, and improvements made without departing from the spirit and principles of this application should be covered within the scope of this application.

Claims

1. A control method for a positioning scanner based on an RFID electronic chip, characterized in that, include: Passive UHF RFID tags are deployed at key locations or on the surface of high-risk items within a pre-defined security area using RFID electronic chip deployment units. Each tag has a built-in globally unique serial number and is compatible with long-term attachment requirements of different material carriers. The scanner control terminal periodically transmits electromagnetic excitation signals and receives RFID tag reflection response data within its effective range. The scanner control terminal integrates a radio frequency transceiver, a signal strength analysis circuit, a timestamp synchronization module, and a wireless communication interface. The spatial coordinate mapping module calculates the absolute coordinate position of the currently read tag in physical space based on the received tag signal strength value and arrival angle information, combined with the pre-stored three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector, using triangulation or polygonal positioning algorithms. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. A static threshold rule set is set using a dwell determination logic unit. When the item corresponding to a certain tag stays in an unauthorized area for a continuous time exceeding the preset maximum allowable dwell time, or when its movement trajectory shows an abnormal pattern of unexpected return, lingering in place, or sudden disappearance followed by recurrence, a suspicious event is triggered. After receiving the detention determination result, the alarm linkage execution agency activates the sound and light warning device, pushes the alarm information to the central monitoring platform, retrieves the footage from nearby cameras for auxiliary verification, and simultaneously records the time, location, relevant tag number and related trajectory data of the incident for subsequent traceability and evidence collection.

2. The RFID electronic chip-based positioning scanner control method according to claim 1, characterized in that, The RFID tag supports an anti-metal interference packaging structure. The substrate is a flexible polyimide film with an internally etched dipole antenna pattern and an epoxy resin protective coating on the chip encapsulation layer.

3. The RFID electronic chip-based positioning scanner control method according to claim 2, characterized in that, The scanner control terminal has a built-in dual-mode communication architecture, and the main control chip is an ARM Cortex-M series microcontroller that runs a real-time operating system kernel. It is equipped with 256 megabytes of flash memory and 64 megabytes of random access memory. The RF front end adopts a zero intermediate frequency direct conversion architecture, the local oscillator phase noise is less than -110 dB / Hertz, and the receiving sensitivity is better than -80 dBm. The time synchronization mechanism relies on the network time protocol to obtain a global clock reference with microsecond-level precision from the time server.

4. The RFID electronic chip-based positioning scanner control method according to claim 3, characterized in that, The spatial coordinate mapping module is deployed on a regional server or edge computing node. The basic map data comes from building information model or laser point cloud mapping results, and after rasterization, it is divided into cubic grid units with a side length of 0.5 meters. Each scanner installation position has known fixed coordinates in the three-dimensional coordinate system, and the radiation direction angle and elevation angle are determined through on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the previous moment's position estimate as the initial guess, combined with velocity vector constraints to iteratively optimize the current position solution. In the case where only one scanner captures the tag, the tag position is projected to a point 70% of the nominal maximum reading distance on the main lobe axis of that scanner, and the positioning accuracy level is marked as coarse.

5. The RFID electronic chip-based positioning scanner control method according to claim 4, characterized in that, The trajectory generation engine uses a sliding window mechanism to maintain historical trajectory segments of all active tags within the last 30 minutes, and the window length is adjustable. The trajectory interpolation algorithm uses a cubic spline curve fitting method, inserting intermediate transition points between two adjacent measured coordinate points to smooth the trajectory trend, with the interpolation step size set to 0.1 seconds; The trajectory compression strategy uses the Douglas-Puk algorithm to retain key inflection points with significant curvature changes and remove redundant straight line segments and intermediate sampling points. The trajectory feature extraction module calculates the total travel length, average movement speed, directional entropy index, number of dwell points, and cumulative duration distribution histogram of each trajectory as input feature vectors for subsequent behavior pattern classification; The detention determination logic unit has a built-in multi-level discrimination rule library. The first level rule is a hard time threshold judgment, and different maximum allowable detention time limits are set for different types of areas. The second level of rule is trajectory shape matching. Predefined templates of typical abnormal behaviors such as U-shaped return, spiral wandering, and sudden stop and disappearance are used. If the similarity score between the current trajectory and each template exceeds the preset threshold, it is judged as suspicious. The third-level rule is context-based reasoning, which combines the current population density statistics, the movement status of adjacent tags, and environmental sensor feedback data on temperature, humidity, and vibration to comprehensively assess the probability of a lingering event. All judgment results are accompanied by a confidence score. Scores below 0.7 are entered into the manual review queue, while scores above 0.9 directly trigger the highest level alarm.

6. The RFID electronic chip-based positioning scanner control method according to claim 5, characterized in that, The alarm linkage actuator is configured with a hierarchical response strategy. The primary response action includes displaying a flashing red warning box on the local scanner display and playing a buzzer sound. Intermediate response actions include pushing an alarm card containing the tag number, last appearing coordinates, dwell time, and a thumbnail image of the trajectory to the large screen in the security duty room. Advanced response actions include automatically controlling the electric access control system to lock the relevant channels, initiating a drone patrol route to fly to the incident area, and calling up a panoramic camera to focus and capture high-definition close-up images and save the original video stream; All response action execution logs are encrypted and stored in a blockchain distributed ledger; An open application programming interface is provided for third-party security management platforms to access, supporting customized alarm policy configuration and historical event retrospective query functions; A self-learning optimization module is added to regularly collect real alarm cases and manual review conclusions to construct a positive and negative sample training set, and the gradient boosting decision tree algorithm is used to update the parameters of the detention judgment model. It supports an online firmware upgrade mechanism that uses secure over-the-air download technology to remotely push new versions of positioning algorithms, communication protocol stacks, or vulnerability patches, enabling feature iteration without interrupting the operation of on-site equipment.

7. A positioning scanner control system based on an RFID electronic chip, characterized in that, include: The RFID electronic chip deployment unit is used to deploy passive ultra-high frequency RFID tags at key locations or on the surface of high-risk items within a preset security area. Each tag has a built-in globally unique serial number and is compatible with long-term attachment requirements of different material carriers. The scanner control terminal is used to periodically transmit electromagnetic excitation signals and receive RFID tag reflection response data within its effective range. The scanner control terminal integrates a radio frequency transceiver, a signal strength analysis circuit, a timestamp synchronization module, and a wireless communication interface. The spatial coordinate mapping module is used to calculate the absolute coordinate position of the currently read tag in physical space based on the received tag signal strength value and arrival angle information, combined with the pre-stored three-dimensional spatial correspondence table between the deployment points of the scanner and its coverage sector, using triangulation or polygonal positioning algorithms. The trajectory generation engine continuously receives spatial coordinate sequences of the same tag at different times reported by multiple scanners, splices them in chronological order to form a complete movement trajectory, and records the timestamp, dwell time, and displacement vector between adjacent nodes in the trajectory. The loitering determination logic unit is used to set a static threshold rule set. When the item corresponding to a certain tag stays in the unauthorized area for a continuous time longer than the preset maximum allowed loitering time, or when its movement trajectory shows an abnormal pattern of unexpected return, lingering in place, or sudden disappearance followed by recurrence, a suspicious event marker is triggered. The alarm linkage actuator is used to activate the sound and light warning device, push alarm information to the central monitoring platform, retrieve the footage from nearby cameras for auxiliary verification after receiving the detention determination result, and simultaneously record the time, location, relevant tag number and related trajectory data of the event for subsequent traceability and evidence collection.

8. The RFID electronic chip-based positioning scanner control system according to claim 7, characterized in that, The RFID electronic chip deployment unit deploys tags that support anti-metal interference packaging structure. The substrate is a flexible polyimide film with a dipole antenna pattern etched inside. The chip packaging layer is covered with epoxy resin protective glue, and the overall thickness does not exceed 0.5 mm. Before leaving the factory, an unalterable 16-digit hexadecimal unique identifier is burned in, and users can customize the extended storage area to write additional attribute information such as item category, department, and responsible person's name.

9. The RFID electronic chip-based positioning scanner control system according to claim 8, characterized in that, The scanner control terminal has a built-in dual-mode communication architecture, and the main control chip is an ARM Cortex-M quad-series microcontroller that runs a real-time operating system kernel and is equipped with 256M bytes of flash memory and 64M bytes of random access memory. The RF front end adopts a zero-IF direct conversion architecture, the local oscillator phase noise is less than -110 dB per Hz, and the receiving sensitivity is better than -80 dBm.

10. The RFID electronic chip-based positioning scanner control system according to claim 9, characterized in that, The spatial coordinate mapping module is deployed on a regional server or edge computing node. The basic map data comes from building information model or laser point cloud mapping results, and after rasterization, it is divided into cubic grid units with a side length of 0.5 meters. Each scanner installation position has known fixed coordinates in the three-dimensional coordinate system, and the radiation direction angle and elevation angle are determined through on-site calibration. When a single tag is captured simultaneously by at least three non-collinearly distributed scanners, the system calculates the distance from the tag to each scanner based on the received signal strength indication value measured at each receiving point, combined with the free space propagation loss model and empirical correction coefficients, and then uses the least squares method to solve for the coordinates of the three-dimensional intersection point. If only two scanners capture the signal, a motion trend prediction model is introduced, using the previous moment's position estimate as the initial guess, combined with velocity vector constraints to iteratively optimize the current position solution. In the case where only one scanner captures the tag, the tag position is projected to a point 70% of the nominal maximum reading distance on the main lobe axis of that scanner by default, and the positioning accuracy level is marked as coarse.

Images