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CN-121985419-A - Electronic tag online detection and marking method and system

CN121985419ACN 121985419 ACN121985419 ACN 121985419ACN-121985419-A

Abstract

The invention relates to the technical field of computers and discloses an electronic tag online detection and marking method and system. The method comprises the steps of modeling a software-defined radio detection node as a cellular automaton cellular, constructing a distributed non-cooperative game model based on neighborhood information, optimizing conflict probability and energy consumption by taking frequency and power as strategy space, dynamically adjusting radio frequency parameters and broadcasting states, executing self-organizing anti-conflict detection, identifying effective tags through matching of signal intensity and time stamps, and generating and writing unique marking instructions. The system is composed of a plurality of detection nodes with state sensing and game decision making capabilities. Through the scheme, the method and the device realize high throughput, low conflict rate, strong robustness and energy efficiency optimization in the ultra-high density scene.

Inventors

  • ZHAI SUOQIANG

Assignees

  • 浙江美声智能系统有限公司

Dates

Publication Date
20260505
Application Date
20260123

Claims (10)

  1. 1. An electronic tag on-line detection and marking method is characterized by comprising the following steps: initializing a detection node network, and modeling a plurality of software-defined radio detection nodes deployed in a read-write area as cells in a cellular automaton, wherein each cell has a state variable, a neighborhood structure and a local update rule, and the state variable comprises current working frequency, transmitting power, channel occupancy rate and historical conflict times; Constructing a distributed game model, constructing a non-cooperative game framework based on neighborhood information of each detection node, taking minimized self channel conflict probability and energy consumption as objective functions, taking frequency and power as strategy space, and locally completing strategy optimization through a Nash equilibrium solver; Dynamically adjusting radio frequency parameters, and adjusting the scanning frequency and the transmitting power of the software defined radio in real time by each detection node according to game decision results, and synchronously broadcasting updated states to neighbor cells; Performing self-organizing anti-collision detection, under the adjusted radio frequency parameters, each detection node concurrently initiates a query request for the electronic tag, receives a tag response signal, and identifies an effective tag and avoids repeated reading through a signal strength and timestamp matching mechanism; generating a tag marking instruction, generating a unique marking code for the successfully identified electronic tag according to a preset service rule, and writing the marking instruction into a tag storage area through a reverse link to finish online marking.
  2. 2. The method for on-line detection and marking of electronic tags according to claim 1, wherein the neighborhood structure is defined as other detection nodes with euclidean distance smaller than a predetermined distance range, the neighborhood radius is dynamically extended to a larger predetermined distance according to the environmental electromagnetic interference intensity, and the channel occupancy is calculated by counting the channel busy/idle state in a predetermined past time period through a sliding window.
  3. 3. The method for on-line detection and marking of electronic tags according to claim 2, wherein the objective function is in the form of a weighted sum, the channel collision probability weight and the energy consumption weight are in a preset proportion, the collision probability is estimated by the ratio of the number of nodes used in the same frequency in the neighborhood to the total number of nodes in the neighborhood, and the energy consumption and the transmitting power are in a linear positive correlation.
  4. 4. The method for online detection and marking of electronic tags according to claim 3, wherein the nash equilibrium solver adopts a distributed iterative algorithm based on gradient projection, the time consumption of each iteration is not greater than a predetermined time threshold, and the convergence threshold is set to be smaller than a preset threshold.
  5. 5. The method for on-line detection and marking of electronic tags according to claim 4, wherein the software defined radio supports continuous tuning in predetermined steps within a predetermined segment, the transmission power adjustment range is a preset power interval, and the adjustment accuracy is a preset power unit.
  6. 6. The method for on-line detection and marking of electronic labels according to claim 5, wherein the inquiry request adopts an anti-collision preamble structure and comprises a time synchronization field, a frequency identification field and a power level field, the label response signal carries a unique serial number and a received signal strength indication value, and the detection node eliminates false response caused by multipath effect by comparing the same label signal strength difference received by multiple nodes.
  7. 7. The method for online detection and marking of electronic tags according to claim 6, wherein the identification of the valid tags employs a space-time consistency check mechanism, requiring that the same tag be captured by at least two different detection nodes in a plurality of consecutive detection periods, and that the time stamp deviation is not greater than a preset time threshold, and the signal strength difference is not greater than a preset strength threshold.
  8. 8. The method for on-line detection and marking of electronic tags according to claim 7, wherein the marking instruction includes a service type identifier, an operation time stamp and a check code, an error control code is adopted in the writing process, and the upper limit of the retransmission times is a preset number.
  9. 9. The method for online detection and marking of electronic tags according to claim 8, wherein each detection node continuously monitors the signal-to-noise ratio of the channel, and when the signal-to-noise ratio is less than a preset signal-to-noise ratio threshold, triggers a local cell state reset, and reenters the game decision process.
  10. 10. An electronic tag on-line detection and marking system comprising a plurality of software defined radio detection nodes, each detection node configured to perform the operations of: Initializing a detection node network, and modeling the detection node network as a cell in a cellular automaton, wherein the cell has a state variable, a neighborhood structure and a local updating rule, and the state variable comprises a current working frequency, a transmitting power, a channel occupancy rate and historical conflict times; constructing a distributed game model, constructing a non-cooperative game framework based on neighborhood information, taking minimized self channel conflict probability and energy consumption as objective functions, taking frequency and power as strategy space, and locally completing strategy optimization through a Nash equilibrium solver; dynamically adjusting radio frequency parameters, adjusting the scanning frequency and the transmitting power of the software defined radio in real time according to game decision results, and synchronously broadcasting updated states to neighbor cells; performing self-organizing anti-collision detection, concurrently initiating a query request for an electronic tag under the adjusted radio frequency parameters, receiving a tag response signal, identifying an effective tag through a signal strength and timestamp matching mechanism, and avoiding repeated reading; generating a tag marking instruction, generating a unique marking code for the successfully identified electronic tag according to a preset service rule, and writing the marking instruction into a tag storage area through a reverse link to finish online marking.

Description

Electronic tag online detection and marking method and system Technical Field The invention belongs to the technical field of computers, and particularly relates to an electronic tag online detection and marking method and system. Background With the wide application of the internet of things and intelligent recognition technology, the electronic tags show a trend of ultra-high density deployment in the scenes of warehouse logistics, intelligent manufacturing, retail management and the like, hundreds of tags exist in a single read-write area at the same time, and the online detection and quick marking capability of the tags are provided with a serious challenge. The on-line detection of the electronic tag depends on the interaction of wireless radio frequency signals, and the core of the on-line detection is an efficient and collision-free communication mechanism between the reader-writer and the tag. However, in a dense tag environment, a large number of tags respond to a reader-writer query request at the same time, so that serious wireless channel collision is very easy to cause, signal collision, data loss and retransmission are increased, and the overall detection efficiency of the system is obviously reduced. In the prior art, mechanisms such as time division multiple access, frequency division multiplexing or random back-off are generally adopted to relieve conflicts, but the methods are difficult to dynamically adapt to channel load change when the number of labels is increased sharply, resource allocation is stiff and global optimization cannot be achieved, a part of schemes introduce a centralized scheduling strategy, although throughput can be improved to a certain extent, high communication overhead, single-point fault risk and expansibility bottlenecks are brought, and more importantly, the existing system lacks modeling capability for environment dynamics and strategy interaction between nodes, and is difficult to achieve low-delay and high-concurrency self-organizing detection in an ultra-dense scene. Therefore, how to construct an electronic tag online detection architecture with self-adaptive anti-interference capability and distributable collaborative decision becomes a key technical problem for improving the detection throughput and the system robustness in an ultra-high density tag environment. Disclosure of Invention The invention aims to provide an electronic tag online detection and marking method and system, which can effectively solve the problems in the background technology. In order to achieve the above purpose, the present invention provides an electronic tag on-line detection and marking method, comprising the following steps: initializing a detection node network, and modeling a plurality of software-defined radio detection nodes deployed in a read-write area as cells in a cellular automaton, wherein each cell has a state variable, a neighborhood structure and a local update rule, and the state variable comprises current working frequency, transmitting power, channel occupancy rate and historical conflict times; Constructing a distributed game model, constructing a non-cooperative game framework based on neighborhood information of each detection node, taking minimized self channel conflict probability and energy consumption as objective functions, taking frequency and power as strategy space, and locally completing strategy optimization through a Nash equilibrium solver; Dynamically adjusting radio frequency parameters, and adjusting the scanning frequency and the transmitting power of the software defined radio in real time by each detection node according to game decision results, and synchronously broadcasting updated states to neighbor cells; Performing self-organizing anti-collision detection, under the adjusted radio frequency parameters, each detection node concurrently initiates a query request for the electronic tag, receives a tag response signal, and identifies an effective tag and avoids repeated reading through a signal strength and timestamp matching mechanism; generating a tag marking instruction, generating a unique marking code for the successfully identified electronic tag according to a preset service rule, and writing the marking instruction into a tag storage area through a reverse link to finish online marking. Preferably, the neighborhood structure is defined as other detection nodes with Euclidean distance smaller than a preset distance range, the neighborhood radius is dynamically expanded to a larger preset distance according to the environmental electromagnetic interference intensity, and the channel occupancy rate is calculated by counting the busy and idle states of the channel in a preset time period through a sliding window. Preferably, the objective function is in a weighted sum form, wherein the channel conflict probability weight and the energy consumption weight are in a preset proportion, the conflict probability is estimated by the ratio o