RFID-driven dumb resource identification method and device

Abstract

The present invention discloses an RFID-driven dumb resource identification method and device, which relates to the field of resource identification technology, including: determining dumb resource components carrying RFID tags; performing high-density area identification based on the distribution location of dumb resource components to obtain identification areas and non-identification areas; and constructing a dual-channel RFID reader / writer, the dual-channel RFID reader / writer comprising a first channel and a second channel, the first channel comprising a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to dumb resource components in identification areas, and the second channel is used to transmit signals of dumb resource components in non-identification areas. The present invention solves the technical problems of low RFID recognition accuracy and insufficient signal transmission capacity in the prior art when dumb resource structures are small and densely arranged, thereby achieving the technical effects of improving recognition accuracy, enhancing RFID signal transmission capacity in dense areas, and realizing efficient management of dumb resources.

Description

Technical Field

[0001] The present invention relates to the technical field of resource identification, and in particular to an RFID-driven dumb resource identification method and device. Background Art

[0002] In communications infrastructure management, traditional management methods for dumb resources (such as optical cross-connect boxes, fiber optic connectors, and patch panels) are often inefficient and error-prone due to their compact size, dense distribution, and large number. RFID, as a contactless automatic identification technology, has been widely used in dumb resource management. However, in practice, especially in densely populated areas with closely spaced dumb resources, RFID signals are susceptible to interference, resulting in low recognition accuracy and insufficient signal transmission capacity. Summary of the Invention

[0003] The present application provides an RFID-driven dumb resource identification method and device, which is used to solve the technical problems of low RFID identification accuracy and insufficient signal transmission capability in the existing technology in scenarios where dumb resources have small structures and are densely arranged.

[0004] In view of the above problems, the present application provides an RFID-driven dumb resource identification method and device.

[0005] In a first aspect of the present application, a method for identifying dumb resources driven by RFID is provided, the method comprising:

[0006] Determine the dumb resource components carrying RFID tags; identify high-density areas based on the distribution positions of the dumb resource components, and obtain identification areas and non-identification areas, wherein the identification area is an area where the density of the distribution of dumb resource components is greater than or equal to a preset density, and the non-identification area is an area where the density of the distribution of dumb resource components is less than the preset density; construct a dual-channel RFID reader / writer, wherein the dual-channel RFID reader / writer includes a first channel and a second channel, the first channel includes a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to the dumb resource components in the identification area, and the second channel is used to transmit signals of the dumb resource components in the non-identification area.

[0007] A second aspect of the present application provides an RFID-driven dumb resource identification device, the device comprising:

[0008] An information determination module is used to determine the dumb resource components carrying RFID tags; an area identification module is used to identify high-density areas based on the distribution positions of the dumb resource components, and obtain identification areas and non-identification areas, wherein the identification area is an area where the density of dumb resource components is greater than or equal to a preset density, and the non-identification area is an area where the density of dumb resource components is less than the preset density; a reader / writer construction module is used to construct a dual-channel RFID reader / writer, wherein the dual-channel RFID reader / writer includes a first channel and a second channel, wherein the first channel includes a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to dumb resource components in the identification area, and the second channel is used to transmit signals of dumb resource components in the non-identification area.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] The present application determines the dumb resource components carrying RFID tags; identifies high-density areas based on the distribution positions of the dumb resource components, and obtains identification areas and non-identification areas, wherein the identification area is an area where the density of dumb resource components is greater than or equal to a preset density, and the non-identification area is an area where the density of dumb resource components is less than the preset density; constructs a dual-channel RFID reader / writer, wherein the dual-channel RFID reader / writer includes a first channel and a second channel, the first channel includes a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to dumb resource components in the identification area, and the second channel is used to transmit signals of dumb resource components in the non-identification area. The present invention solves the technical problems of low RFID recognition accuracy and insufficient signal transmission capacity in the existing technology in scenarios where dumb resource structures are small and closely arranged. By scanning and ensuring that all dumb resource components carry RFID tags, high-density areas are identified and partitioned for management, and at the same time, read-write transmission enhancement channels are set to optimize signal transmission in dense areas, thereby achieving the technical effects of improving recognition accuracy, enhancing RFID signal transmission capacity in dense areas, and realizing efficient management of dumb resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 A flowchart of an RFID-driven dumb resource identification method provided in an embodiment of the present application;

[0013] Figure 2This is a structural diagram of an RFID-driven dumb resource identification device provided in an embodiment of the present application.

[0014] Description of the accompanying drawings: information determination module 11, area identification module 12, reader / writer construction module 13. DETAILED DESCRIPTION

[0015] This application provides an RFID-driven dumb resource identification method and device to solve the technical problems of low RFID identification accuracy and insufficient signal transmission capacity in the existing technology in scenarios where the dumb resource structure is small and densely arranged. By scanning and ensuring that all dumb resource components carry RFID tags, high-density areas are identified and partitioned for management. At the same time, read-write transmission enhancement channels are set to optimize signal transmission in dense areas, thereby achieving the technical effect of improving identification accuracy, enhancing RFID signal transmission capacity in dense areas, and realizing efficient management of dumb resources.

[0016] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] It should be noted that any variations of the terms "include" and "have" are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0018] Example 1, as Figure 1 As shown, the present application provides an RFID-driven dumb resource identification method, the method comprising:

[0019] Step S100: Determine a dumb resource component carrying an RFID tag.

[0020] In the embodiments of this application, RFID-tagged dumb resource components are identified by scanning dumb resources in the network using an RFID reader / writer. Dumb resources include managed products such as optical cables, patch cords, optical cross-connect boxes, and optical fiber distribution (ODF) racks. Each dumb resource component is pre-attached with a unique RFID tag. The reader / writer activates the tag by emitting radio waves and reads the identification information stored on it, allowing for rapid and accurate identification of all RFID-tagged dumb resource components in the network.

[0021] Step S200: Identify high-density areas based on the distribution positions of the dummy resource components to obtain identification areas and non-identification areas, wherein the identification areas are areas where the density of dummy resource components is greater than or equal to a preset density, and the non-identification areas are areas where the density of dummy resource components is less than the preset density.

[0022] In the present application embodiment, when carrying out high-density area identification according to the distribution position of dumb resource components, first obtain the accurate position information of all dumb resource components by RFID technology, this information is realized by RFID reader scanning tag and recording its coordinate data. Subsequently, utilize geographic information system or spatial analysis technology, the position data of dumb resource components are mapped to the network topology diagram, form dumb resource distribution map. Next, calculate the distribution density of dumb resource components in specific area by grid density analysis algorithm. Specific area here refers to the grid unit divided in advance, is about to divide the whole network area into several equal-sized grids, and each grid serves as an independent analysis unit.

[0023] When performing grid density analysis, the number of dummy resource components within each grid cell is first counted. The distribution density of these dummy resource components, i.e., the number of dummy resource components per unit area, is then calculated based on the area of the grid cell. A preset density threshold is used as a distinguishing criterion. When the density of dummy resource components within a grid cell is greater than or equal to the preset density, the grid cell is defined as a marked area, indicating a concentration of dummy resources and a possible location of a critical node or high-traffic area. Conversely, grid cells with a density lower than the preset density are defined as non-marked areas, indicating a sparse distribution of dummy resources. This process yields both marked and non-marked areas.

[0024] Furthermore, in the method provided in the embodiment of the application, obtaining the preset density further includes:

[0025] A density ladder is set, and dummy resource component samples carrying RFID tags are evenly arranged in the test area according to the density ladder. The ALOHA algorithm is run on each group of densities to obtain the collision rate and average read time of the dual-channel RFID reader at each density in the density ladder. Based on the collision rate and average read time at each density, a frame time slot division mechanism is used to perform dynamic analysis and configure the preset density.

[0026] In the embodiment of the present application, to determine the distribution density threshold of dumb resource components, technical experts first set a density ladder, that is, defined a series of different density values (such as the number of dumb resource components per square meter). These density values are used to simulate resource distribution in different scenarios. Subsequently, dumb resource component samples carrying RFID tags are evenly arranged in the test area according to these density values. The purpose of this step is to provide a controllable test environment for subsequent experiments and ensure the accuracy and repeatability of data collection. By evenly arranging samples, deviations in experimental results caused by uneven sample distribution are avoided.

[0027] The ALOHA algorithm was run at each density level to analyze the performance of the RFID reader. The ALOHA algorithm is a random access protocol whose core concept is to allow tags to transmit data at any time. If a collision occurs (i.e., multiple tags transmitting simultaneously), the tags will retransmit after a random delay. Using this algorithm, the collision rate (i.e., the probability of tag signals colliding) and average read time (i.e., the time required for the reader to identify all tags) of a dual-channel RFID reader at different densities were calculated. In its implementation, the ALOHA algorithm simulates random tag transmissions and conflict-retransmission processes, recording the time of each collision event and successful read. This allows the collision rate and average read time of the dual-channel RFID reader to be determined at each density step within the density ladder.

[0028] Finally, a dynamic analysis was performed using a frame-slot partitioning mechanism based on the collision rate and average read time at each density. Specifically, the frame-slot partitioning mechanism was first activated to dynamically adjust the slot adjustment parameters of the dual-channel RFID reader and record dynamic collision rate and average read time samples. A density-collision rate curve was then plotted based on the dynamic collision rate samples, identifying the inflection point density where the collision rate drops by more than 50%. Finally, the inflection point density was set to a preset density, which served as the threshold for distinguishing high-density from low-density areas.

[0029] Furthermore, the method provided in the embodiment of the application uses a frame time slot division mechanism to perform dynamic analysis based on the collision rate and average read time at each density and configure the preset density, further comprising:

[0030] A frame time slot division mechanism is initiated to dynamically adjust the time slot adjustment parameters of the dual-channel RFID reader, and dynamic collision rate samples and dynamic average reading time samples are recorded; a density-collision rate curve is drawn based on the dynamic collision rate samples, the inflection point density of the density-collision rate curve is identified, and the value of the inflection point density is set to a preset density, wherein the inflection point density is the density corresponding to the inflection point where the collision rate drops by more than 50%.

[0031] In the embodiment of this application, a frame time slot partitioning mechanism, a widely used anti-collision algorithm in RFID systems, was first activated in a dual-channel RFID reader / writer test environment. To optimize tag recognition efficiency, a method for dynamically adjusting time slot adjustment parameters, including the slot length and number of slots, was employed. Specifically, the frame length was calculated and adjusted in real time based on the current tag density using a Q algorithm or a feedback mechanism based on the collision rate. Simultaneously, time slots were dynamically allocated to ensure that the length of each slot was adapted to the tag response time, reducing the probability of signal collisions. During the adjustment process, dynamic collision rate samples (i.e., the frequency of tag signal collisions) and dynamic average read time samples (i.e., the time required for the reader / writer to identify all tags) were recorded in real time. These data provide a basis for subsequent analysis. Tag density refers to the ratio of the number of RFID tags in a given area to the area of the area, describing the density of tag distribution. A high tag density indicates a greater number of tags per unit area, potentially increasing the probability of signal collisions; a low tag density indicates a sparser tag distribution, reducing the probability of signal collisions.

[0032] Based on the recorded dynamic conflict rate samples, a density-conflict rate curve is constructed using curve drawing and mathematical analysis methods, and the inflection point density of the curve is identified. Specifically, the conflict rate data points at different densities are connected to form a curve, and the curve is modeled using polynomial fitting or piecewise linear regression to obtain the density-conflict rate curve. Next, the first and second derivatives of the curve are calculated to determine the point where the slope of the curve changes, i.e., the inflection point. The inflection point density refers to the density value at which the rate of decline of the conflict rate slows significantly, defined as the point where the conflict rate decreases by more than 50%.

[0033] Finally, the density value of the identified inflection point is set as the preset density, and the threshold division method is used as the basis for distinguishing high-density areas from low-density areas.

[0034] Furthermore, the method provided in the application embodiment also includes:

[0035] Based on the dynamic average read time sample, a density-read time curve is drawn, the inflection point density of the density-read time curve is identified, and the value of the inflection point density is set to a preset density, wherein the inflection point density is the density corresponding to the inflection point where the read time decreases by more than 50%; wherein the inflection point density of the density-conflict rate curve has a higher priority than the inflection point density of the density-read time curve.

[0036] In an embodiment of the present application, a density-reading time curve is drawn based on the recorded dynamic average reading time samples (i.e., the time required for the reader to complete all tag identifications) using curve drawing and mathematical analysis methods. Specifically, the average reading time data points under different tag densities (i.e., the number of RFID tags per unit area) are first sorted and connected into a curve. Next, the curve is modeled by polynomial fitting or piecewise linear regression to smooth the data and extract trends. The density-reading time curve is obtained through this process. Then, the first-order derivative and second-order derivative of the curve are calculated to determine the point where the slope of the curve changes, i.e., the inflection point. The inflection point density refers to the density value at which the rate of decrease of the reading time slows down significantly, and is defined as the point at which the reading time decreases by more than 50%.

[0037] Next, the preset density is determined according to the priority rule. Since the inflection point density of the density-conflict rate curve has a higher priority than the inflection point density of the density-reading time curve, the inflection point density of the density-conflict rate curve is used as the preset density.

[0038] Furthermore, in the method provided in the embodiment of the application, high-density area identification is performed based on the distribution location of the dumb resource components, further comprising:

[0039] Establish a three-dimensional spatial model, use the three-dimensional spatial model to identify the distribution position of the dumb resource components, and obtain spatial distribution coordinate data, wherein the spatial distribution coordinate data includes the geometric data of each dumb resource component, the spacing data of adjacent dumb resource components, and the average spacing of resource components; based on the spatial distribution coordinate data, high-density area identification is performed to obtain marked areas and non-marked areas.

[0040] In an embodiment of the present application, in order to achieve accurate identification of high-density areas, the distribution of dumb resource components is marked by establishing a three-dimensional spatial model, and spatial distribution coordinate data is obtained, so as to effectively distinguish high-density areas from non-marked areas.

[0041] Specifically, a 3D spatial model is first established. This process uses laser scanning technology or a geographic information system (GIS) to obtain 3D coordinate data for each dumb resource component. Laser scanning uses a laser radar (LiDAR) to scan the target area and generate high-precision 3D point cloud data. This allows the precise spatial location of each dumb resource component to be determined, using X, Y, and Z coordinates to represent the component's 3D spatial coordinates. This coordinate data provides the foundation for subsequent analysis of spatially distributed coordinate data. Furthermore, GPS positioning systems can be used for high-precision positioning, particularly over larger areas, ensuring high data accuracy and consistency. Through these technologies, the geometric data of each dumb resource component is obtained.

[0042] Next, we obtain the spacing data for adjacent dummy resource components. This process relies on calculating the spatial distance between adjacent components using spatial coordinates and the Euclidean distance formula. This calculation yields spatial spacing data for each pair of adjacent components, which is used to measure the density of component distribution in space. To determine the average spacing of resource components across the entire area, we perform a statistical analysis of the spacing data for all adjacent components and calculate a global average. This process is accomplished using data aggregation techniques, such as weighted averaging.

[0043] Next, based on the spatial distribution coordinate data, high-density areas are identified. Specifically, a gridding algorithm is first used to divide the entire target area into multiple small grid cells. For example, the area can be divided into a 1m×1m grid, with each grid cell serving as an independent analysis unit. Then, based on the spacing data and average spacing data of adjacent components, the component density within each grid cell—that is, the number of components per unit area—is calculated.

[0044] To distinguish high-density from low-density areas, technical experts set a density threshold. If the density of a grid cell exceeds this threshold, it is marked as a marked area (high-density area); if the density of a grid cell is below the threshold, it is considered a non-marked area (low-density area). These area demarcation methods rely on spatial analysis algorithms, such as the density clustering algorithm (DBSCAN), which calculates the density of resource components within each grid cell to determine whether the area is a high-density area.

[0045] Through the above steps, high-density area recognition is completed, and the marked area and non-marked area are obtained.

[0046] Step S300: Construct a dual-channel RFID reader / writer, the dual-channel RFID reader / writer includes a first channel and a second channel, the first channel includes a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to the dumb resource components in the identification area, and the second channel is used to transmit signals of the dumb resource components in the non-identification area.

[0047] In an embodiment of the present application, a dual-channel RFID reader is constructed, and the dual-channel RFID reader includes a first channel and a second channel. The first channel integrates a read-write transmission enhancement module, which improves the signal transmission capability through a high-performance signal amplifier and anti-interference technology (such as adaptive filtering and frequency hopping technology), ensuring that the signals of dumb resource components can be stably and efficiently read in high-density tag areas (i.e., identification areas). Dumb resource components refer to those tags or devices that do not actively send signals but need to be read. The second channel uses a standard transmission module with a relatively simple design. It is suitable for non-identification areas with low tag density and less signal interference, thereby reducing hardware costs and energy consumption. Through this dual-channel design, signals from different areas are processed simultaneously, improving overall reading efficiency and accuracy, and meeting application requirements in complex scenarios.

[0048] Furthermore, in the method provided in the embodiment of the application, constructing a dual-channel RFID reader / writer further includes:

[0049] Obtain a transmission compatibility index of the dual-channel RFID reader / writer, wherein the transmission compatibility index is the maximum number of dummy resource components recognized by the dual-channel RFID reader / writer; determine a target area to be allocated, and configure multiple dual-channel RFID readers / writers in the target area according to the transmission compatibility index.

[0050] In this embodiment, the transmission compatibility index refers to the maximum number of dumb resource components that a single dual-channel RFID reader can accurately identify under normal operating conditions. This value determines the load capacity of each RFID reader, which in turn affects the device deployment plan in the target area. To obtain this index, experiments were conducted to measure the reading performance of RFID readers in different density environments, including signal collision rate, recognition success rate, and read time.

[0051] During the experiments, the number of dummy resource components was gradually increased under a standard test environment to simulate real-world application scenarios. The ALOHA algorithm was used to analyze collision rates. This algorithm allows multiple RFID tags to randomly transmit signals and randomly delays retransmissions when a collision occurs. The signal collision rate was recorded at different tag densities, and the average read time was measured. When the collision rate begins to rise significantly or the read time increases significantly, it indicates that the RFID reader's read capability is approaching a bottleneck. The number of dummy resource components at this point represents the device's maximum recognition capability, or transmission compatibility indicator.

[0052] To optimize recognition efficiency, the RFID reader's reading mode was optimized using a frame time slot partitioning mechanism. This dynamically adjusts the number of time slots in high-density scenarios, reducing signal collisions and improving read success rates. Finally, by combining the density-collision rate curve and the density-read time curve, the inflection point density at which the collision rate drops by more than 50% or the read time increases sharply was identified. The maximum number of identifiable dumb resource components under stable operating conditions was determined as a transmission compatibility indicator.

[0053] Next, the target area for allocation is determined. This refers to the overall distribution range of all dumb resource components, encompassing the coverage area of all dumb resource components that require identification, such as optical cables, patch cords, optical cross-connect boxes, and optical fiber distribution frames. This area is defined based on network topology and a geographic information system (GIS), with its boundaries and size determined by the spatial distribution data of dumb resources. The total area of the target area and the number of dumb resource components within it directly determine the number of RFID readers required.

[0054] To clearly define the distribution of dumb resources in the target area, RFID data scanning combined with GIS analysis was used to locate dumb resources and count the total number of dumb resource components within the area. This number, combined with the maximum recognition capability (transmission compatibility index) of a single dual-channel RFID reader, was used to calculate the total number of RFID readers required. During this calculation, the transmission compatibility index of a single dual-channel RFID reader was divided by the total number of dumb resource components in the target area to determine the required number of dual-channel RFID readers.

[0055] Finally, in the target area, the RFID readers are evenly deployed according to the calculated number to complete the configuration of multiple dual-channel RFID readers.

[0056] Furthermore, in the method provided in the embodiment of the application, after configuring multiple dual-channel RFID readers, the method further includes:

[0057] Configure an edge storage device and connect the edge storage device to the multiple dual-channel RFID readers; wherein, each dual-channel RFID reader reads the status information of the corresponding dumb resource component by identifying the RFID tag, and then sends the read status information of each dumb resource component to the edge storage device for storage, and the communication terminal obtains the status information of each dumb resource component in the edge storage device.

[0058] In an embodiment of the present application, an edge storage device is configured in the target area and connected to multiple dual-channel RFID readers. The edge storage device adopts a distributed storage architecture, which can store data locally, reduce dependence on remote servers, and improve data access speed. The core functions of the edge storage device include data caching, data synchronization, and remote access, ensuring that the status information collected by the RFID reader can be stably stored and accessed at any time. The connection method adopts wired (such as industrial Ethernet) or wireless communication (such as Wi-Fi, LoRa or 5G) to ensure stable and reliable data transmission between the RFID reader and the edge storage device. After the connection is established, each dual-channel RFID reader can send the identified dumb resource component status information to the edge storage device for storage in real time, thereby forming a distributed dumb resource database.

[0059] Each dual-channel RFID reader / writer reads the status information of the corresponding dumb resource component by identifying the RFID tag. The first channel collects status information for dumb resources in the identified area (high-density area), and the second channel collects status information for dumb resources in the unidentified area (low-density area). The read information, including the dumb resource component's unique ID and location, is transmitted to the edge storage device for storage via a real-time data transmission protocol. The edge storage device manages and optimizes the received data to ensure data integrity and fast access. Communication terminals retrieve the required dumb resource component status information from the edge storage device via an API or message queue protocol, enabling real-time query of device status and improving the intelligent management of dumb resources.

[0060] Furthermore, the method provided in the application embodiment also includes:

[0061] The first channel includes a read-write transmission enhancement module, the transmission enhancement module includes an ultra-high frequency phased array antenna and an adaptive filter, and the second channel includes a low-frequency helical antenna and a pulsed power supply module.

[0062] In an embodiment of the present application, the first channel includes a read / write transmission enhancement module that uses an ultra-high frequency (UHF) phased array antenna and an adaptive filter to enhance signal transmission capabilities and optimize recognition accuracy in high-density environments. In high-density tag environments, RFID readers often face problems such as signal conflicts, data misreading, and decreased reading rates. Therefore, the ultra-high frequency (UHF) phased array antenna uses beamforming technology to control the direction of the RF signal using a phased array, enabling the reader to dynamically adjust the signal coverage range, reduce unnecessary interference, and improve reading accuracy and speed. In addition, to reduce noise interference and multipath effects of the RF signal, the first channel also integrates an adaptive filter. This filter is based on a digital signal processing (DSP) algorithm that analyzes the RF signal in real time, automatically adjusts the filter parameters, and suppresses environmental noise, thereby ensuring stable reading performance in dense tag environments.

[0063] The second channel includes a low-frequency helical antenna and a pulsed power supply module, which are used to optimize RFID reading capabilities in low-density areas while reducing device power consumption. In low-density areas, since there are fewer RFID tags, signal conflicts are relatively low. Therefore, the low-frequency helical antenna adopts the characteristics of low frequency and large coverage, which can stably transmit and receive RFID tag signals at a longer range. Unlike ultra-high frequency phased array antennas, low-frequency helical antennas have stronger signal penetration capabilities and can adapt to the RFID identification needs of underground facilities, metal-obstructed areas or complex space environments. In addition, to reduce energy consumption during long-term operation, the second channel integrates a pulsed power supply module. This module uses dynamic power management (DPM) technology to reduce the power supply when there is no tag identification requirement, and only activates high-power transmission instantaneously when data needs to be read, thereby effectively reducing power consumption and increasing the service life of RFID equipment.

[0064] Furthermore, the method provided in the application embodiment also includes:

[0065] The communication status of the first channel and the second channel is detected in real time. When an abnormal state occurs in either channel, a redundant transmission enhancement module is activated; and the signal of the other channel is enhanced according to the redundant transmission enhancement module.

[0066] In this embodiment, to ensure the stability and reliability of a dual-channel RFID reader / writer, the communication status of the first and second channels is monitored in real time. This process identifies communication anomalies by continuously monitoring parameters such as signal strength, bit error rate, transmission delay, and signal loss rate. If signal attenuation, increased bit error rate, increased data transmission delay, or signal loss are detected in a particular channel, a communication anomaly is identified in that channel and appropriate compensatory measures are triggered.

[0067] Specifically, the signal strength of each channel is first monitored using the Received Signal Strength Indicator (RSSI). If the RSSI value remains below a preset threshold, this indicates a significant decrease in the channel's signal quality, possibly due to signal attenuation, insufficient coverage, or environmental interference, and is considered a signal anomaly. Furthermore, the bit error rate (BER) is monitored. If it exceeds a set normal range (e.g., over 1%), communication quality is considered to have deteriorated, for example, due to data transmission errors caused by noise interference or multipath effects.

[0068] Furthermore, data transmission delays are monitored. When delays exceed a certain threshold (e.g., response time is more than twice the normal range), a communication delay is considered to exist. This could be caused by network congestion, hardware failure, or excessive channel load. Increasing delays indicate decreased data transmission efficiency and are also considered abnormal signals. Similarly, if no valid RFID signals are received within a certain period of time or the read failure rate is excessively high, signal loss or read failure is determined for that channel, and the channel is marked as abnormal.

[0069] When real-time monitoring of RSSI, bit error rate, latency, and signal loss indicates an abnormality in a channel, the redundant transmission enhancement module is automatically activated. Using an intelligent switching mechanism, the redundant transmission enhancement module quickly takes over the faulty channel while simultaneously enhancing the signal transmission capabilities of the functioning channel. This redundant module ensures stable data transmission through the remaining channel by adjusting power, changing signal frequency, and optimizing signal processing strategies.

[0070] Specifically, if an anomaly in the first channel (such as a weak signal or high bit error rate) occurs, the signal in the second channel is automatically switched and amplified. At this point, the second channel's low-frequency helical antenna increases power output, extending signal coverage, while also utilizing an adaptive filter to optimize signal quality and mitigate the impact of environmental interference. Conversely, if an anomaly in the second channel occurs, the signal in the first channel is amplified, and the UHF phased array antenna dynamically adjusts the signal beam direction, further focusing it and improving signal directionality, thereby ensuring accurate signal transmission.

[0071] This process automatically optimizes signal transmission through redundant transmission enhancement modules and ensures that even if one channel fails, the other channel can still provide efficient and stable data transmission, avoiding the loss of recognition efficiency or data loss caused by a single channel failure. In this way, RFID readers can still effectively read the status information of dumb resource components in high-density or low-density areas.

[0072] In the embodiments of the present application, in summary, the embodiments of the present application have at least the following technical effects:

[0073] The present application determines the dumb resource components carrying RFID tags; identifies high-density areas based on the distribution positions of the dumb resource components, and obtains identification areas and non-identification areas, wherein the identification area is an area where the density of dumb resource components is greater than or equal to a preset density, and the non-identification area is an area where the density of dumb resource components is less than the preset density; constructs a dual-channel RFID reader / writer, wherein the dual-channel RFID reader / writer includes a first channel and a second channel, the first channel includes a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to dumb resource components in the identification area, and the second channel is used to transmit signals of dumb resource components in the non-identification area. The present invention solves the technical problems of low RFID recognition accuracy and insufficient signal transmission capacity in the existing technology in scenarios where dumb resource structures are small and closely arranged. By scanning and ensuring that all dumb resource components carry RFID tags, high-density areas are identified and partitioned for management, and at the same time, read-write transmission enhancement channels are set to optimize signal transmission in dense areas, thereby achieving the technical effects of improving recognition accuracy, enhancing RFID signal transmission capacity in dense areas, and realizing efficient management of dumb resources.

[0074] Example 2, based on the same inventive concept as the RFID-driven dumb resource identification method in the previous embodiment, Figure 2 As shown, the present application provides an RFID-driven dumb resource identification device. The device and method embodiments in the present application are based on the same inventive concept. The device includes:

[0075] An information determination module 11 is used to determine the dumb resource components carrying RFID tags; an area identification module 12 is used to identify high-density areas based on the distribution positions of the dumb resource components, and obtain identification areas and non-identification areas, wherein the identification areas are areas where the density of dumb resource components is greater than or equal to a preset density, and the non-identification areas are areas where the density of dumb resource components is less than the preset density; a reader / writer construction module 13 is used to construct a dual-channel RFID reader / writer, wherein the dual-channel RFID reader / writer includes a first channel and a second channel, wherein the first channel includes a read-write transmission enhancement module, wherein the first channel is used to transmit signals belonging to dumb resource components in the identification area, and the second channel is used to transmit signals of dumb resource components in the non-identification area.

[0076] Furthermore, the device is also used to implement the following functions:

[0077] A density ladder is set, and dummy resource component samples carrying RFID tags are evenly arranged in the test area according to the density ladder. The ALOHA algorithm is run on each group of densities to obtain the collision rate and average read time of the dual-channel RFID reader at each density in the density ladder. Based on the collision rate and average read time at each density, a frame time slot division mechanism is used to perform dynamic analysis and configure the preset density.

[0078] Furthermore, the device is also used to implement the following functions:

[0079] A frame time slot division mechanism is initiated to dynamically adjust the time slot adjustment parameters of the dual-channel RFID reader, and dynamic collision rate samples and dynamic average reading time samples are recorded; a density-collision rate curve is drawn based on the dynamic collision rate samples, the inflection point density of the density-collision rate curve is identified, and the value of the inflection point density is set to a preset density, wherein the inflection point density is the density corresponding to the inflection point where the collision rate drops by more than 50%.

[0080] Furthermore, the device is also used to implement the following functions:

[0081] Based on the dynamic average read time sample, a density-read time curve is drawn, the inflection point density of the density-read time curve is identified, and the value of the inflection point density is set to a preset density, wherein the inflection point density is the density corresponding to the inflection point where the read time decreases by more than 50%; wherein the inflection point density of the density-conflict rate curve has a higher priority than the inflection point density of the density-read time curve.

[0082] Furthermore, the device is also used to implement the following functions:

[0083] Obtain a transmission compatibility index of the dual-channel RFID reader / writer, wherein the transmission compatibility index is the maximum number of dummy resource components recognized by the dual-channel RFID reader / writer; determine a target area to be allocated, and configure multiple dual-channel RFID readers / writers in the target area according to the transmission compatibility index.

[0084] Furthermore, the device is also used to implement the following functions:

[0085] Configure an edge storage device and connect the edge storage device to the multiple dual-channel RFID readers; wherein, each dual-channel RFID reader reads the status information of the corresponding dumb resource component by identifying the RFID tag, and then sends the read status information of each dumb resource component to the edge storage device for storage, and the communication terminal obtains the status information of each dumb resource component in the edge storage device.

[0086] Furthermore, the device is also used to implement the following functions:

[0087] The first channel includes a read-write transmission enhancement module, the transmission enhancement module includes an ultra-high frequency phased array antenna and an adaptive filter, and the second channel includes a low-frequency helical antenna and a pulsed power supply module.

[0088] Furthermore, the device is also used to implement the following functions:

[0089] The communication status of the first channel and the second channel is detected in real time. When an abnormal state occurs in either channel, a redundant transmission enhancement module is activated; and the signal of the other channel is enhanced according to the redundant transmission enhancement module.

[0090] Furthermore, the device is also used to implement the following functions:

[0091] Establish a three-dimensional spatial model, use the three-dimensional spatial model to identify the distribution position of the dumb resource components, and obtain spatial distribution coordinate data, wherein the spatial distribution coordinate data includes the geometric data of each dumb resource component, the spacing data of adjacent dumb resource components, and the average spacing of resource components; based on the spatial distribution coordinate data, high-density area identification is performed to obtain marked areas and non-marked areas.

[0092] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0093] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0094] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. RFID-driven dumb resource identification method, characterized in that: The method comprises: Identify dumb resource components carrying RFID tags; Identify high-density areas based on the distribution positions of the dummy resource components to obtain a marked area and a non-marked area, wherein the marked area is an area where the density of the dummy resource components is greater than or equal to a preset density, and the non-marked area is an area where the density of the dummy resource components is less than the preset density; Constructing a dual-channel RFID reader / writer, the dual-channel RFID reader / writer including a first channel and a second channel, the first channel including a read / write transmission enhancement module, wherein the first channel is used to transmit signals belonging to the dummy resource components in the identification area, and the second channel is used to transmit signals of the dummy resource components in the non-identification area; The high-density area identification is performed according to the distribution positions of the dumb resource components, including: Establishing a three-dimensional spatial model, using the three-dimensional spatial model to identify the distribution positions of the dummy resource components, and obtaining spatial distribution coordinate data, wherein the spatial distribution coordinate data includes geometric data of each dummy resource component, spacing data of adjacent dummy resource components, and average spacing between resource components; High-density area recognition is performed based on the spatial distribution coordinate data to obtain marked areas and non-marked areas.

2. The method according to claim 1, wherein Methods for obtaining preset densities include: Setting density steps and evenly arranging dummy resource component samples carrying RFID tags in the test area according to the density steps; Run the ALOHA algorithm for each group of densities to obtain the collision rate and average reading time of the dual-channel RFID reader at each density in the density ladder; Based on the collision rate and average reading time at each density, a frame time slot division mechanism is used for dynamic analysis to configure the preset density.

3. The method according to claim 2, wherein Based on the collision rate and average read time at each density, a frame time slot partitioning mechanism is used for dynamic analysis to configure preset densities. The methods include: Starting a frame time slot division mechanism to dynamically adjust the time slot adjustment parameters of the dual-channel RFID reader, and recording dynamic collision rate samples and dynamic average reading time samples; Based on the dynamic conflict rate sample, a density-conflict rate curve is drawn, the inflection point density of the density-conflict rate curve is identified, and the value of the inflection point density is set to a preset density, wherein the inflection point density is the density corresponding to the inflection point where the conflict rate drops by more than 50%.

4. The method according to claim 3, wherein Draw a density-reading time curve based on the dynamic average reading time sample, identify the inflection point density of the density-reading time curve, and set the value of the inflection point density to a preset density, wherein the inflection point density is the density corresponding to the inflection point where the reading time decreases by more than 50%; The inflection point density priority of the density-conflict rate curve is higher than the inflection point density of the density-reading time curve.

5. The method according to claim 1, wherein Constructing a dual-channel RFID reader, the method further includes: Obtaining a transmission compatibility index of the dual-channel RFID reader / writer, wherein the transmission compatibility index is a maximum number of dummy resource components that can be recognized by the dual-channel RFID reader / writer; A target area to be allocated is determined, and a plurality of dual-channel RFID readers are configured in the target area according to the transmission compatibility index.

6. The method according to claim 5, wherein After configuring multiple dual-channel RFID readers, the method further includes: Configuring an edge storage device, and connecting the edge storage device to the plurality of dual-channel RFID readers; Among them, each dual-channel RFID reader reads the corresponding dumb resource component status information by identifying the RFID tag, and then sends the read status information of each dumb resource component to the edge storage device for storage, and the communication terminal obtains the status information of each dumb resource component in the edge storage device.

7. The method according to claim 1, wherein The first channel includes a read-write transmission enhancement module, the transmission enhancement module includes an ultra-high frequency phased array antenna and an adaptive filter, and the second channel includes a low-frequency helical antenna and a pulsed power supply module.

8. The method according to claim 1, wherein Performing real-time detection on the communication status of the first channel and the second channel, and activating the redundant transmission enhancement module when an abnormality occurs in either channel; The signal of another channel is enhanced according to the redundant transmission enhancement module.

9. RFID-driven dumb resource identification device, characterized in that: The device comprises: An information determination module, used to determine the dumb resource component carrying the RFID tag; an area identification module, configured to identify high-density areas based on the distribution positions of the dummy resource components, and obtain an identification area and a non-identification area, wherein the identification area is an area where the density of the dummy resource components is greater than or equal to a preset density, and the non-identification area is an area where the density of the dummy resource components is less than the preset density; A reader / writer construction module, configured to construct a dual-channel RFID reader / writer, the dual-channel RFID reader / writer comprising a first channel and a second channel, the first channel comprising a read / write transmission enhancement module, wherein the first channel is configured to transmit signals belonging to a dummy resource component in the identification area, and the second channel is configured to transmit signals belonging to a dummy resource component in the non-identification area; Wherein, the region identification module is used to: Establishing a three-dimensional spatial model, using the three-dimensional spatial model to identify the distribution positions of the dummy resource components, and obtaining spatial distribution coordinate data, wherein the spatial distribution coordinate data includes geometric data of each dummy resource component, spacing data of adjacent dummy resource components, and average spacing between resource components; High-density area recognition is performed based on the spatial distribution coordinate data to obtain marked areas and non-marked areas.

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