CN115719079A - Baseband architecture of UHF-RFID tag chip and state control method thereof - Google Patents
Baseband architecture of UHF-RFID tag chip and state control method thereof Download PDFInfo
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Abstract
The invention discloses a baseband framework of a UHF-RFID label chip and a state control method thereof, wherein the framework comprises the following steps: the tag comprises a high-frequency tag circuit module, a low-frequency tag circuit module, a detection module, a receiving module, an identification module and a storage module; the detection module is respectively connected with the high-frequency tag circuit module and the low-frequency tag circuit module; the receiving module is connected with the detection module; the identification module is connected with the receiving module; and the storage module is connected with the identification module. Through setting up high frequency tag circuit module and low frequency tag circuit module and switching the label signal of receiving and transmitting different frequencies intelligently can come to stabilize the receipt to the label signal of different frequencies, improved data reception efficiency and stability, still saved the consumption simultaneously, prolonged the life of chip to a certain extent, reduced use cost. The labor cost is saved, and the practicability is improved.
Description
Technical Field
The invention relates to the technical field of chip state control, in particular to a baseband framework of a UHF-RFID label chip and a state control method thereof.
Background
With the development of the internet of things industry, the Ultra High Frequency Reader (UHFRFID) technology is rapidly popularized due to the characteristics of long identification distance, high identification accuracy, high identification speed, strong anti-interference capability and the like, and a brand new management means is gradually formed. Because the fixed UHFRFID reader has various application environments and complicated parameter setting, which brings much inconvenience to operators, the existing UHFRFID tag chip is composed of a transceiver, a processor and a memory, wherein the transceiver is used for receiving signals coupled from an antenna, acquiring energy and information from the signals and reflecting output signals of the tag; a digital baseband processor for processing baseband signals and operating on a memory; the storage is used for storing the chip ID and the user information, most of received label signals are high-frequency label signals, and for low-frequency label signals, mode adjustment is needed manually to receive the signals, so that the practicability is reduced, and meanwhile, the labor cost is also increased.
Disclosure of Invention
In view of the above-mentioned problems, the present invention provides a baseband architecture of a UHF-RFID tag chip and a state control method thereof to solve the problems in the background art that most of received tag signals are high frequency tag signals, and for low frequency tag signals, mode adjustment needs to be manually performed to receive signals, which reduces the practicability and also increases the labor cost.
A baseband architecture for a UHF-RFID tag chip, comprising:
the tag comprises a high-frequency tag circuit module, a low-frequency tag circuit module, a detection module, a receiving module, an identification module and a storage module;
the detection module is respectively connected with the high-frequency tag circuit module and the low-frequency tag circuit module and is used for detecting the working states of the high-frequency tag circuit module and the low-frequency tag circuit module and generating a data receiving instruction according to the working states;
the receiving module is connected with the detection module and used for receiving the label data transmitted by the high-frequency label circuit module and the low-frequency label circuit module respectively according to the data receiving instruction;
the identification module is connected with the receiving module and used for carrying out label identification according to the label data to obtain an identification label;
and the storage module is connected with the identification module and used for receiving the identification tag written by the identification module and storing the identification tag.
A label chip state control method comprises the following steps:
setting a working circuit according to a clock carrier signal of the RFID tag reader;
receiving tag data fed back by the RFID tag reader through a working circuit;
performing label identification on the label data by using a preset multi-label anti-collision back-off algorithm to obtain an identification result;
and writing the identification tag in the identification result into the UHF-RFID tag chip, classifying and storing.
Preferably, the setting of the operation circuit according to the clock carrier signal of the RFID tag reader includes:
acquiring an initial signal modulation frequency interval of a clock carrier signal;
the clock carrier signal is mediated, and the target signal modulation frequency of the clock carrier signal in the initial signal frequency interval is determined according to the mediation result;
acquiring working frequency intervals corresponding to a high-frequency tag circuit module and a low-frequency tag circuit module of a UHF-RFID tag chip respectively;
and confirming that the modulation frequency of the target signal is in a first working frequency interval corresponding to the high-frequency tag circuit module and a second working frequency interval corresponding to the low-frequency tag circuit module, and setting the high-frequency tag circuit module and the low-frequency tag circuit module as working circuits according to a confirmation result.
Preferably, the receiving, by the operating circuit, tag data fed back by the RFID tag reader includes:
receiving a data signal corresponding to the tag data fed back by the RFID tag reader;
sampling high and low levels of each data bit of the data signal to obtain a sampling result;
determining the level width of each data bit of the data signal according to the sampling result, and judging whether the data signal is an effective signal or not based on the level width;
if so, receiving the data signal and decoding the data signal to obtain the tag data.
Preferably, the tag data is identified by using a preset multi-tag anti-collision back-off algorithm, and the identification result is obtained, including:
randomly grouping the tag data to obtain a pre-estimated first group of tags;
performing quantity evaluation on the first group of tags based on normal distribution characteristics and collision factor calculation to obtain an evaluation result;
calculating the collision position of each pre-estimated label in the evaluation result by using a preset multi-label anti-collision back-off algorithm;
acquiring collision labels corresponding to the pre-estimated labels according to the collision position of each pre-estimated label;
and acquiring a time sequence number of each pre-estimated tag, and identifying by adopting a jump dynamic binary algorithm based on the time sequence number and the collision tag to acquire an identification result.
Preferably, writing the identification tag in the identification result into the UHF-RFID tag chip, and classifying and storing the identification tag includes:
acquiring a data stream corresponding to each identification tag;
packaging the data stream corresponding to each identification tag into a data block of a preset memory;
encrypting the data block, and writing the data block into the UHF-RFID tag chip after encryption;
and acquiring the label type corresponding to each identification label, classifying all the identification labels based on the label type, and storing after classification.
Preferably, the method further comprises:
acquiring reference power consumption data of the UHF-RFID tag chip in each state and constructing a state power consumption data table of the UHF-RFID tag chip according to the reference power consumption data;
determining the basic operation power consumption of the UHF-RFID tag chip in each state, and setting an operation power consumption interval of each state of the UHF-RFID tag chip in an idle working state according to the basic operation power consumption and the reference power consumption data in each state;
setting a first sleep mode and a second sleep mode for each state of the UHF-RFID tag chip according to the running power consumption interval of the state in the idle working state;
and controlling the power consumption of the UHF-RFID label chip in each state according to the first sleep mode, the second sleep mode and the normal working mode of each state.
Preferably, after the data stream corresponding to each identification tag is obtained, before the data stream corresponding to each identification tag is encapsulated into a data block of a preset memory, the method further includes:
carrying out fault code investigation on the data stream of each identification label to obtain an investigation result;
analyzing the data stream of each label according to the investigation result, and acquiring a first data item related to the fault code in the data stream of each identification label according to the analysis result;
comparing the first data item with a second data item of the standard data sample to determine a degree of deviation, and determining a critical threshold value for each item in the first data item according to the degree of deviation;
determining a target optimization parameter of a data stream corresponding to each identification tag according to a critical threshold value of each item in the first data item of each identification tag;
and optimizing the data stream of each identification label according to the target optimization parameters, and taking the optimized data stream as an encapsulation data stream.
Preferably, the step of encrypting the data block comprises:
constructing a data matrix of the data block according to the data format of the data block;
acquiring matrix elements in the matrix and the distribution proportion of each matrix element;
determining the encryption level of the database according to the matrix elements and the distribution proportion of each matrix element;
and acquiring an encryption key corresponding to the encryption grade based on the encryption grade to encrypt the database.
Preferably, the performing quantity evaluation on the first group of tags based on the normal distribution characteristics and the collision factor calculation to obtain an evaluation result includes:
acquiring a randomized grouping parameter corresponding to the first group of tags;
determining normal distribution conditions among the grouping labels in the randomized grouping parameters based on the normal distribution characteristics;
determining a distribution gap interval between adjacent grouped tags in the first group of tags according to the normal distribution condition;
determining a plurality of label reset zone bits in a first group of labels according to a distribution gap interval between adjacent grouped labels;
acquiring the query prefix of each label resetting zone bit based on the zone bit characteristics of the label resetting zone bit, and determining the dynamic change factor of the query prefix of each label resetting zone bit according to the preset collision factor;
determining the position change range of the label reset marker bit according to the dynamic change factor of the query prefix of each label reset marker bit;
generating a preset label traction instruction to carry out label traction on the position change range of each label reset zone bit, determining whether each label reset zone bit has a grouping label according to the response condition, and obtaining a determination result;
and evaluating the number of the grouped tags of the first group of tags according to the determination result to obtain an evaluation result.
Preferably, after acquiring the data stream corresponding to each identification tag, the method further includes:
dividing the data in the data stream corresponding to each identification label into a plurality of unit data according to the same type division condition;
performing feature scanning on each unit data, acquiring a unit feature code of each unit data according to a scanning result, matching the unit feature code with a virus feature code in a preset database, and judging whether virus data exists in each unit data according to a first matching result;
if yes, starting a preset virus searching and killing program to perform data cleaning processing on the first unit year data containing the virus data to obtain a first processing result;
if not, performing data source matching on each unit data by using a deep level identification method, and determining independent data in each unit data according to a second matching result;
extracting a first time sequence characteristic corresponding to independent data in each unit data and a second time sequence characteristic of preceding and following data;
taking the first time sequence characteristic and the second time sequence characteristic as the input of a recursive function, and determining the correlation index of the first time sequence characteristic and the second time sequence characteristic according to the output result of the function;
determining whether the correlation index is larger than a preset index, if so, retaining the independent data in each unit data, and if not, retaining and eliminating the independent data in each unit data to obtain a second processing result;
and acquiring the processed data stream of each identification tag according to the first processing result or the second processing result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a schematic structural diagram of a baseband architecture of a UHF-RFID tag chip according to the present invention;
FIG. 2 is a flowchart illustrating a method for controlling a status of a tag chip according to the present invention;
FIG. 3 is another flowchart illustrating a method for controlling the status of a tag chip according to the present invention;
fig. 4 is a flowchart of another operation of the method for controlling the status of the tag chip according to the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
With the development of the internet of things industry, the Ultra High Frequency Reader (UHFRFID) technology is rapidly popularized due to the characteristics of long identification distance, high identification accuracy, high identification speed, strong anti-interference capability and the like, and a brand new management means is gradually formed. Because the fixed UHFRFID reader has various application environments and complicated parameter setting, which brings much inconvenience to operators, the existing UHFRFID tag chip is composed of a transceiver, a processor and a memory, wherein the transceiver is used for receiving signals coupled from an antenna, acquiring energy and information from the signals and reflecting output signals of the tag; a digital baseband processor for processing baseband signals and operating on a memory; the memory is used for storing the chip ID and the user information, and the received tag signals are mostly high-frequency tag signals, and for low-frequency tag signals, mode adjustment is needed manually to receive the signals, so that the practicability is reduced, and the labor cost is also increased. In order to solve the above problem, the present embodiment discloses a baseband architecture of a UHF-RFID tag chip.
A baseband architecture for a UHF-RFID tag chip, as shown in fig. 1, comprising:
the tag comprises a high-frequency tag circuit module 101, a low-frequency tag circuit module 102, a detection module 103, a receiving module 104, an identification module 105 and a storage module 106;
the detection module 103 is respectively connected with the high-frequency tag circuit module 101 and the low-frequency tag circuit module 102, and is used for detecting the working states of the high-frequency tag circuit module and the low-frequency tag circuit module and generating a data receiving instruction according to the working states;
the receiving module 104 is connected with the detecting module 103 and is used for receiving the tag data transmitted by the high-frequency tag circuit module and the low-frequency tag circuit module according to the data receiving instruction;
the identification module 105 is connected with the receiving module 104 and is used for performing label identification according to the label data to obtain an identification label;
and the storage module 106 is connected with the identification module 105 and is used for receiving the identification tag written by the identification module and storing the identification tag.
The working principle of the technical scheme is as follows: the high-frequency tag circuit module and the low-frequency tag circuit module are arranged to intelligently receive and transmit tag signals with different frequencies, the detection module is used for detecting the working states of the high-frequency tag circuit module and the low-frequency tag circuit module, a data receiving instruction is generated according to the working states, the receiving module is used for receiving tag data transmitted by the two circuit modules, the identification module is used for carrying out tag identification, and finally the storage module is used for storing identification tags in identification results.
The beneficial effects of the above technical scheme are: the high-frequency tag circuit module and the low-frequency tag circuit module are arranged to intelligently switch and receive and transmit tag signals with different frequencies, so that the tag signals with different frequencies can be stably received, the data receiving efficiency and stability are improved, the power consumption is also saved, the service life of a chip is prolonged to a certain extent, the use cost is reduced, the labor cost is saved, the practicability is improved, the problems that in the prior art, most of received tag signals are high-frequency tag signals, and for low-frequency tag signals, mode adjustment needs to be manually carried out to receive the signals are solved, the practicability is reduced, and the labor cost is also improved.
The embodiment also discloses a tag chip state control method, which is applicable to the baseband architecture of the proposed UHF-RFID tag chip, as shown in fig. 2, and includes the following steps:
s101, setting a working circuit according to a clock carrier signal of an RFID tag reader;
step S102, receiving tag data fed back by an RFID tag reader through a working circuit;
step S103, carrying out label identification on the label data by utilizing a preset multi-label anti-collision avoidance algorithm to obtain an identification result;
and step S104, writing the identification tag in the identification result into the UHF-RFID tag chip, and classifying and storing the identification tag.
The working principle of the technical scheme is as follows: setting a working circuit according to a clock carrier signal of the RFID tag reader, receiving tag data fed back by the RFID tag reader through the working circuit, carrying out tag identification on the tag data by utilizing a preset multi-tag anti-collision backoff algorithm, obtaining an identification result, writing identification tags in the identification result into a UHF-RFID tag chip, and classifying and storing the identification tags.
The beneficial effects of the above technical scheme are: the intelligent receiving of the label signals with different frequencies is realized by setting the working circuit, the data receiving efficiency and the stability are improved, meanwhile, the power consumption is also saved, the service life of the chip is prolonged to a certain extent, the use cost is reduced, furthermore, the label identification is carried out on the label data by utilizing the preset multi-label anti-collision retreat algorithm, the occurrence of the data disorder condition caused by the collision of each label data can be avoided, the anti-interference performance is strong, and the stability is further improved.
In one embodiment, setting the operational circuitry based on a clock carrier signal of the RFID tag reader includes:
acquiring an initial signal modulation frequency interval of a clock carrier signal;
the clock carrier signal is modulated, and the target signal modulation frequency of the clock carrier signal in the initial signal frequency interval is determined according to the modulation result;
acquiring working frequency intervals corresponding to a high-frequency tag circuit module and a low-frequency tag circuit module of a UHF-RFID tag chip respectively;
and confirming that the modulation frequency of the target signal is in a first working frequency interval corresponding to the high-frequency tag circuit module and a second working frequency interval corresponding to the low-frequency tag circuit module, and setting the high-frequency tag circuit module and the low-frequency tag circuit module as working circuits according to a confirmation result.
In the present embodiment, the initial signal modulation frequency interval is represented as a modulation frequency interval in which the clock carrier signal is within the normal reception range.
The beneficial effects of the above technical scheme are: the working circuit can be accurately set according to the actual clock carrier signal parameters, and the stability is further improved.
In one embodiment, as shown in fig. 3, the receiving, by the operating circuit, tag data fed back by the RFID tag reader includes:
step S201, receiving a data signal corresponding to the tag data fed back by the RFID tag reader;
step S202, sampling high and low levels of each data bit of a data signal to obtain a sampling result;
step S203, determining the level width of each data bit of the data signal according to the sampling result, and judging whether the data signal is an effective signal or not based on the level width;
and step S204, if so, receiving the data signal and decoding the data signal to obtain the tag data.
In this embodiment, the data signal is represented as an identification tag data feedback signal corresponding to the tag data, and specifically may be a tag characteristic signal and a tag type signal;
in this embodiment, the criterion for determining whether the data signal is a valid signal is to determine whether the level width of the speed sniping signal is greater than or equal to a preset level width, if so, the data signal is determined to be a valid signal, otherwise, the data signal is determined to be an invalid signal.
The beneficial effects of the above technical scheme are: the data signal is judged to be valid, so that the situation of mistakenly receiving data can be avoided, the stability, the data receiving accuracy and the practicability are improved, furthermore, the label data obtained by decoding the data signal can be rapidly and stably obtained according to the coding form of the data signal, and the data acquisition efficiency is improved.
In one embodiment, performing label identification on label data by using a preset multi-label anti-collision back-off algorithm to obtain an identification result, including:
randomly grouping the tag data to obtain a first group of pre-estimated tags;
performing quantity evaluation on the first group of labels based on normal distribution characteristics and collision factor calculation to obtain an evaluation result;
calculating the collision position of each pre-estimated label in the evaluation result by using a preset multi-label anti-collision back-off algorithm;
acquiring collision labels corresponding to the pre-estimated labels according to the collision position of each pre-estimated label;
and acquiring the time sequence number of each pre-estimated label, and identifying by adopting a jump dynamic binary algorithm based on the time sequence number and the collision label to acquire an identification result.
The beneficial effects of the above technical scheme are: by acquiring the collision tag and the time sequence number of the pre-estimated tag, each tag can be sequentially identified according to the receiving time and the collision tag of each pre-estimated tag, and the tag identification efficiency and stability are improved.
In one embodiment, as shown in fig. 4, writing the identification tag in the identification result into the UHF-RFID tag chip, and classifying and storing the identification tag includes:
s301, acquiring a data stream corresponding to each identification tag;
step S302, packaging the data stream corresponding to each identification tag into a data block of a preset memory;
step S303, encrypting the data block, and writing the data block into the UHF-RFID tag chip after encryption;
and S304, acquiring the label type corresponding to each identification label, classifying all the identification labels based on the label type, and storing after classification.
In the present embodiment, the data stream is represented as a stored data stream corresponding to each identification tag;
in this embodiment, the tag type may be a tag service type or a tag function type.
The beneficial effects of the above technical scheme are: the data block encapsulation is carried out on each identification tag, so that the data integrity of each identification tag can be rapidly written into a chip, meanwhile, the data integrity of each identification tag can be guaranteed to the maximum extent, the practicability is further improved, further, the privacy of data can be guaranteed by encrypting the data block, the data safety is improved, further, convenient screening conditions are provided for follow-up calling through classified storage of the identification tags, and the practicability is further improved.
In one embodiment, the method further comprises:
acquiring reference power consumption data of the UHF-RFID tag chip in each state and constructing a state power consumption data table of the UHF-RFID tag chip according to the reference power consumption data;
determining basic operation power consumption of the UHF-RFID tag chip in each state, and setting an operation power consumption interval of each state of the UHF-RFID tag chip in an idle working state according to the basic operation power consumption and reference power consumption data in each state;
setting a first sleep mode and a second sleep mode for each state of the UHF-RFID tag chip according to the running power consumption interval of the state in the idle working state;
and controlling the power consumption of the UHF-RFID label chip in each state according to the first sleep mode, the second sleep mode and the normal working mode of each state.
In this embodiment, the reference power consumption data is expressed as standard energy consumption and work data of the UHF-RFID tag chip in each state;
in this embodiment, the first sleep mode indicates that each state of the UHF-RFID tag chip is in a sleep to wake-up state;
in the present embodiment, the second sleep mode is expressed such that each state of the UHF-RFID tag chip is in the standby off state.
The beneficial effects of the above technical scheme are: the power consumption can be further reduced by setting a plurality of working modes of the chip in each state, so that the service life of the chip is prolonged while the energy is saved.
In an embodiment, after acquiring the data stream corresponding to each identification tag, before encapsulating the data stream corresponding to each identification tag into a data block of a preset memory, the method further includes:
performing fault code troubleshooting on the data stream of each identification label to obtain a troubleshooting result;
analyzing the data stream of each label according to the investigation result, and acquiring a first data item related to a fault code in the data stream of each identification label according to the analysis result;
comparing the first data item with a second data item of the standard data sample to determine a degree of deviation, and determining a critical threshold value for each item in the first data item according to the degree of deviation;
determining a target optimization parameter of a data stream corresponding to each identification tag according to a critical threshold value of each item in the first data item of each identification tag;
and optimizing the data stream of each identification label according to the target optimization parameters, and taking the optimized data stream as an encapsulation data stream.
In this embodiment, the fault code is preset, and different fault codes are set according to different fault expression forms of the data stream;
in this embodiment, the first data item is represented as a data group in the tag data stream associated with the fault code;
in the present embodiment, the degree of deviation is expressed as the total degree of deviation of the data parameter between the data items;
in this embodiment, the critical threshold represents a maximum item threshold within a reasonable range for each item;
the beneficial effects of the above technical scheme are: the abnormal data item screening and optimization of the data stream can ensure the packaging efficiency of the subsequent packaging of the data stream, and further improves the practicability and the overall stability.
In one embodiment, the step of encrypting the block of data comprises:
constructing a data matrix of the data block according to the data format of the data block;
acquiring matrix elements in the matrix and the distribution proportion of each matrix element;
determining the encryption level of the database according to the matrix elements and the distribution proportion of each matrix element;
and acquiring an encryption key corresponding to the encryption grade based on the encryption grade to encrypt the database.
In this embodiment, the data matrix is represented as a data distribution matrix of the data block;
in this embodiment, the matrix elements are expressed as expression elements corresponding to expression forms of the same type of data in the data matrix;
in the present embodiment, the encryption level is expressed as an encryption degree level for a data block;
in this embodiment, the change of the encryption key is obtained by optimizing the encryption key of the upper level.
The beneficial effects of the above technical scheme are: the encryption level is determined and the corresponding encryption key is selected to encrypt each data block, so that intelligent reasonable encryption can be performed by taking the importance of the data elements in each data block as reference, and the practicability is further improved while the data safety is improved.
In one embodiment, the performing quantity evaluation on the first group of tags based on normal distribution characteristics and collision factor calculation to obtain an evaluation result includes:
acquiring a randomized grouping parameter corresponding to the first group of tags;
determining normal distribution conditions among the grouping labels in the randomized grouping parameters based on the normal distribution characteristics;
determining a distribution gap interval between adjacent grouped tags in the first group of tags according to the normal distribution condition;
determining a plurality of label reset zone bits in a first group of labels according to a distribution gap interval between adjacent grouped labels;
acquiring the query prefix of each label resetting zone bit based on the zone bit characteristics of the label resetting zone bit, and determining the dynamic change factor of the query prefix of each label resetting zone bit according to the preset collision factor;
determining the position change range of the label reset zone bit according to the dynamic change factor of the query prefix of each label reset zone bit;
generating a preset label traction instruction to carry out label traction on the position change range of each label reset zone bit, determining whether each label reset zone bit has a grouping label according to the response condition, and obtaining a determination result;
and evaluating the number of the grouped tags of the first group of tags according to the determination result to obtain an evaluation result.
In this embodiment, the randomized grouping parameter is represented as a randomly dynamically distributed parameter of grouping labels within the first set of labels;
in the present embodiment, the normal distribution case is represented as a normal arrangement case between the grouping labels;
in this embodiment, the distribution gap interval is represented as an interval gap value interval between two adjacent grouping labels;
in this embodiment, the tag reset flag bit is represented as a speculative flag bit of a grouped tag within the first set of tags;
in this embodiment, the dynamic change factor is represented as a change factor corresponding to a change condition of the query prefix of each tag reset flag under the influence of a preset collision factor.
The beneficial effects of the above technical scheme are: the judgment of the normal distribution condition is carried out on the randomized grouping parameters of the first group of labels to further determine that the label resetting zone bits can quickly predict the prediction zone bits of the grouping labels so as to utilize a label traction instruction to carry out traction, obtain the label response, and accurately evaluate the number of the labels according to the label characteristics and the space gaps of the labels, so that the evaluation result is more accurate and objective.
In one embodiment, after obtaining the data stream corresponding to each identification tag, the method further comprises:
dividing the data in the data stream corresponding to each identification label into a plurality of unit data according to the same type division condition;
performing feature scanning on each unit data, acquiring a unit feature code of each unit data according to a scanning result, matching the unit feature code with a virus feature code in a preset database, and judging whether virus data exists in each unit data according to a first matching result;
if yes, starting a preset virus searching and killing program to perform data cleaning processing on the first unit year data containing the virus data to obtain a first processing result;
if not, performing data source matching on each unit data by using a deep level identification method, and determining independent data in each unit data according to a second matching result;
extracting a first time sequence characteristic corresponding to independent data in each unit data and a second time sequence characteristic of preceding and following data;
taking the first time sequence characteristic and the second time sequence characteristic as the input of a recursive function, and determining the correlation index of the first time sequence characteristic and the second time sequence characteristic according to the output result of the function;
determining whether the correlation index is larger than a preset index, if so, retaining the independent data in each unit data, and if not, retaining and eliminating the independent data in each unit data to obtain a second processing result;
and acquiring the processed data stream of each identification tag according to the first processing result or the second processing result.
The beneficial effects of the above technical scheme are: virus data and useless data in the data stream can be eliminated, the safety and high quality of the data stream are guaranteed, stable and reliable data samples are established for subsequent operation, and the practicability is further improved.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A baseband architecture for a UHF-RFID tag chip, comprising:
the tag comprises a high-frequency tag circuit module, a low-frequency tag circuit module, a detection module, a receiving module, an identification module and a storage module;
the detection module is respectively connected with the high-frequency tag circuit module and the low-frequency tag circuit module and is used for detecting the working states of the high-frequency tag circuit module and the low-frequency tag circuit module and generating a data receiving instruction according to the working states;
the receiving module is connected with the detection module and used for receiving the label data transmitted by the high-frequency label circuit module and the low-frequency label circuit module respectively according to the data receiving instruction;
the identification module is connected with the receiving module and used for carrying out label identification according to the label data to obtain an identification label;
and the storage module is connected with the identification module and used for receiving the identification tag written by the identification module and storing the identification tag.
2. A tag chip state control method, which is applied to the baseband architecture of the UHF-RFID tag chip of claim 1, is characterized by comprising the following steps:
setting a working circuit according to a clock carrier signal of the RFID tag reader;
receiving tag data fed back by the RFID tag reader through a working circuit;
performing label identification on the label data by using a preset multi-label anti-collision backoff algorithm to obtain an identification result;
and writing the identification tag in the identification result into the UHF-RFID tag chip, and classifying and storing the identification tag.
3. The tag chip state control method of claim 2, wherein setting the operating circuit according to a clock carrier signal of the RFID tag reader comprises:
acquiring an initial signal modulation frequency interval of a clock carrier signal;
the clock carrier signal is modulated, and the target signal modulation frequency of the clock carrier signal in the initial signal frequency interval is determined according to the modulation result;
obtaining working frequency intervals corresponding to a high-frequency tag circuit module and a low-frequency tag circuit module of the UHF-RFID tag chip respectively;
and confirming that the modulation frequency of the target signal is in a first working frequency interval corresponding to the high-frequency tag circuit module and a second working frequency interval corresponding to the low-frequency tag circuit module, and setting the high-frequency tag circuit module and the low-frequency tag circuit module as working circuits according to a confirmation result.
4. The method for controlling the state of the tag chip according to claim 2, wherein the receiving of the tag data fed back by the RFID tag reader through the operating circuit comprises:
receiving a data signal corresponding to the tag data fed back by the RFID tag reader;
sampling each data bit of the data signal at high and low levels to obtain a sampling result;
determining the level width of each data bit of the data signal according to the sampling result, and judging whether the data signal is an effective signal or not based on the level width;
if yes, receiving the data signal and decoding the data signal to obtain the tag data.
5. The tag chip state control method according to claim 2, wherein performing tag identification on tag data by using a preset multi-tag anti-collision back-off algorithm to obtain an identification result comprises:
randomly grouping the tag data to obtain a pre-estimated first group of tags;
performing quantity evaluation on the first group of tags based on normal distribution characteristics and collision factor calculation to obtain an evaluation result;
calculating the collision position of each estimated label in the evaluation result by using a preset multi-label anti-collision back-off algorithm;
acquiring collision labels corresponding to the pre-estimated labels according to the collision position of each pre-estimated label;
and acquiring the time sequence number of each pre-estimated label, and identifying by adopting a jump dynamic binary algorithm based on the time sequence number and the collision label to acquire an identification result.
6. The tag chip state control method according to claim 2, wherein writing the identification tag in the identification result into the UHF-RFID tag chip and classifying and storing the identification tag comprises:
acquiring a data stream corresponding to each identification tag;
packaging the data stream corresponding to each identification tag into a data block of a preset memory;
encrypting the data block, and writing the data block into the UHF-RFID tag chip after encryption;
and acquiring the label type corresponding to each identification label, classifying all the identification labels based on the label type, and storing after classification.
7. The tag chip state control method of claim 2, further comprising:
acquiring reference power consumption data of the UHF-RFID tag chip in each state and constructing a state power consumption data table of the UHF-RFID tag chip according to the reference power consumption data;
determining the basic operation power consumption of the UHF-RFID tag chip in each state, and setting an operation power consumption interval of each state of the UHF-RFID tag chip in an idle working state according to the basic operation power consumption and the reference power consumption data in each state;
setting a first sleep mode and a second sleep mode for each state of the UHF-RFID tag chip according to the running power consumption interval of the state in the idle working state;
and controlling the power consumption of the UHF-RFID tag chip in each state according to the first sleep mode, the second sleep mode and the normal working mode of each state.
8. The tag chip state control method according to claim 6, wherein after the data stream corresponding to each identification tag is obtained, before the data stream corresponding to each identification tag is encapsulated into a data block of a preset memory, the method further comprises:
performing fault code troubleshooting on the data stream of each identification label to obtain a troubleshooting result;
analyzing the data stream of each label according to the investigation result, and acquiring a first data item related to the fault code in the data stream of each identification label according to the analysis result;
comparing the first data item with a second data item of the standard data sample to determine a degree of deviation, and determining a critical threshold value for each item in the first data item according to the degree of deviation;
determining a target optimization parameter of a data stream corresponding to each identification tag according to a critical threshold value of each item in the first data item of each identification tag;
and optimizing the data stream of each identification label according to the target optimization parameters, and taking the optimized data stream as an encapsulation data stream.
9. The tag chip state control method according to claim 5, wherein the performing quantity evaluation on the first group of tags based on the normal distribution characteristics and the collision factor calculation to obtain an evaluation result comprises:
acquiring a randomized grouping parameter corresponding to the first group of tags;
determining normal distribution conditions among the grouping labels in the randomized grouping parameters based on normal distribution characteristics;
determining a distribution gap interval between adjacent grouped tags in the first group of tags according to the normal distribution condition;
determining a plurality of label reset zone bits in a first group of labels according to a distribution gap interval between adjacent grouped labels;
acquiring the query prefix of each label reset zone bit based on the zone bit characteristics of the label reset zone bit, and determining the dynamic change factor of the query prefix of each label reset zone bit according to the preset collision factor;
determining the position change range of the label reset zone bit according to the dynamic change factor of the query prefix of each label reset zone bit;
generating a preset label traction instruction to carry out label traction on the position change range of each label reset zone bit, determining whether each label reset zone bit has a grouping label according to the response condition, and obtaining a determination result;
and evaluating the number of the grouped tags of the first group of tags according to the determination result to obtain an evaluation result.
10. The tag chip state control method of claim 6, wherein after obtaining the data stream corresponding to each identification tag, the method further comprises:
dividing the data in the data stream corresponding to each identification label into a plurality of unit data according to the same type division condition;
performing feature scanning on each unit data, acquiring a unit feature code of each unit data according to a scanning result, matching the unit feature code with a virus feature code in a preset database, and judging whether virus data exists in each unit data according to a first matching result;
if yes, starting a preset virus searching and killing program to perform data cleaning processing on first unit year data containing virus data to obtain a first processing result;
if not, performing data source matching on each unit data by using a deep level identification method, and determining independent data in each unit data according to a second matching result;
extracting a first time sequence characteristic corresponding to independent data in each unit data and a second time sequence characteristic of the previous data and the next data;
taking the first time sequence characteristic and the second time sequence characteristic as the input of a recursive function, and determining the correlation index of the first time sequence characteristic and the second time sequence characteristic according to the output result of the function;
determining whether the correlation index is larger than a preset index, if so, retaining the independent data in each unit data, and if not, retaining and eliminating the independent data in each unit data to obtain a second processing result;
and acquiring the processed data stream of each identification tag according to the first processing result or the second processing result.
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