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CN116311737A - 58KHz label identification method applied to electronic commodity anti-theft system detection equipment - Google Patents

58KHz label identification method applied to electronic commodity anti-theft system detection equipment Download PDF

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Publication number
CN116311737A
CN116311737A CN202310182799.XA CN202310182799A CN116311737A CN 116311737 A CN116311737 A CN 116311737A CN 202310182799 A CN202310182799 A CN 202310182799A CN 116311737 A CN116311737 A CN 116311737A
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signal
tag
58khz
amplitude
slope
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CN202310182799.XA
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Chinese (zh)
Inventor
吴泉辉
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Hangzhou Century Co Ltd
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Hangzhou Century Co Ltd
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Priority to CN202310182799.XA priority Critical patent/CN116311737A/en
Publication of CN116311737A publication Critical patent/CN116311737A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/22—Electrical actuation
    • G08B13/24—Electrical actuation by interference with electromagnetic field distribution
    • G08B13/2402—Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting
    • G08B13/2405—Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting characterised by the tag technology used
    • G08B13/2408—Electronic Article Surveillance [EAS], i.e. systems using tags for detecting removal of a tagged item from a secure area, e.g. tags for detecting shoplifting characterised by the tag technology used using ferromagnetic tags
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/0008—General problems related to the reading of electronic memory record carriers, independent of its reading method, e.g. power transfer
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
    • G06K7/10118—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves the sensing being preceded by at least one preliminary step
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
    • G06K7/10118—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves the sensing being preceded by at least one preliminary step
    • G06K7/10138—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves the sensing being preceded by at least one preliminary step the step consisting of determining the type of record carrier, e.g. to determine if the record carrier is an RFID tag of the long or short range type, or to determine the preferred communication protocol of the RFID tag
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Theoretical Computer Science (AREA)
  • Electromagnetism (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • Automation & Control Theory (AREA)
  • Burglar Alarm Systems (AREA)

Abstract

The invention relates to a 58KHz label identification method which can not only identify and detect a 58KHz label, but also judge that the 58KHz label is a soft label or a hard label, and is applied to detection equipment of an electronic commodity anti-theft system, and the detection equipment calculates and identifies the frequency of a label signal after receiving a feedback signal of the label; when the frequency of the tag signal accords with the set frequency range, the detection equipment calculates and compares the amplitude of the tag signal; when the amplitude of the tag signal exceeds a set alarm threshold, the detection equipment calculates the amplitude slope of the tag signal, and the detection equipment compares the calculated amplitude slope with the set amplitude slope threshold, and when the calculated amplitude slope is smaller than the set amplitude slope threshold, the tag is a soft tag, otherwise the tag is a hard tag. The advantages are that: the method not only can identify and detect the 58KHz label, but also can judge whether the 58KHz label is a soft label or a hard label.

Description

58KHz label identification method applied to electronic commodity anti-theft system detection equipment
Technical Field
The invention belongs to the technical field of electronic commodity anti-theft systems, and particularly relates to a 58KHz tag identification method applied to detection equipment of an electronic commodity anti-theft system.
Background
Electronic Article Surveillance (EAS) systems, for short, are one of the widely adopted commodity security measures in the current large retail industry. The technology applied to the EAS system mainly comprises three technologies, namely a radio frequency technology, an electromagnetic technology and an acousto-magnetic technology, wherein the acousto-magnetic technology utilizes the physical principle that tuning forks only cause resonance under the condition of the same oscillation frequency to realize the operation of almost zero false alarm, so that the application range of the acousto-magnetic system is wider and wider.
The acousto-magnetic system mainly comprises three parts, namely detection equipment (commonly called as 'detection equipment'), a decoder (or an unlocking device) and an electronic tag, wherein the electronic tag is divided into a soft tag and a hard tag: the soft tag is disposable, has low cost, needs to be inactivated by a decoder, and consists of a vibrating piece (generally using a non-wafer), a biasing piece (generally using a semi-hard magnetic piece) and a soft shell. The physical characteristics of the soft tag are that the quality factor Q value is small, after the tag resonates, the damped oscillation changes slowly, so that the energy of the tag decays slowly, the amplitude Slope of the tag is small, slope=ac/CB, and the Slope is small, as shown in fig. 1, of course, the soft tag can also be put into a hard shell.
The hard tag can be reused, a special unlocking device is required to unlock the hard tag, a frequency element (commonly called an acoustic magnetic coil) in the hard tag consists of a magnetic core rod, a winding group and a capacitor, and the Slope characteristic of the acoustic magnetic coil is that the physical characteristic of the soft tag is that after the tag resonates due to the large Q value of the quality factor, the damped oscillation change is quick, so that the energy of the tag is fast attenuated, the amplitude Slope of the tag is larger, and the Slope is larger, as shown in figure 2.
The existing acousto-magnetic detection equipment can detect the 58KHz tag, but can not judge whether the 58KHz tag is a 58KHz soft tag or a 58KHz hard tag, namely the use environment of the existing acousto-magnetic detection equipment for distinguishing the soft tag from the hard tag can not meet the use requirement.
Disclosure of Invention
The design purpose is as follows: in order to avoid the defects in the background technology, a 58KHz label identification method which can not only identify and detect the 58KHz label, but also judge whether the 58KHz label is a soft label or a hard label and is applied to electronic commodity anti-theft system detection equipment is designed.
The design scheme is as follows: to achieve the above design objective.
1. Step one, a detection device transmits a 58KHz electromagnetic wave signal to a detection area, the tag transmits a feedback signal after receiving an excitation signal transmitted by the detection device, and the detection device calculates and identifies the frequency of the tag signal after receiving the feedback signal of the tag through a receiving coil of the detection device; step two, when the frequency of the tag signal accords with the set frequency range, the detection equipment calculates and compares the amplitude of the tag signal; and thirdly, when the amplitude of the tag signal exceeds a set alarm threshold, the detection equipment calculates the amplitude slope of the tag signal, compares the calculated amplitude slope with the set amplitude slope threshold, judges that the detected tag is a soft tag when the calculated amplitude slope is smaller than the set amplitude slope threshold, and judges that the detected tag is a hard tag when the calculated amplitude slope is larger than the set amplitude slope threshold. The purpose of this design is: step one, a detection device transmits a 58KHz electromagnetic wave signal to a detection area, the tag transmits a feedback signal after receiving an excitation signal transmitted by the detection device, and the detection device calculates and identifies the frequency of the tag signal after receiving the feedback signal of the tag through a receiving coil of the detection device; step two, when the frequency of the tag signal accords with the set frequency range, the detection equipment calculates and compares the amplitude of the tag signal; when the amplitude of the tag signal exceeds a set alarm threshold, the detection equipment calculates the amplitude slope of the tag signal, compares the calculated amplitude slope with a set amplitude slope threshold, judges that the detected tag is a soft tag when the calculated amplitude slope is smaller than the set amplitude slope threshold, judges that the detected tag is a hard tag when the calculated amplitude slope is larger than the set amplitude slope threshold, namely the detection equipment emits a 58KHz electromagnetic wave signal in the process of detecting the tag signal, the electromagnetic wave signal excites and oscillates the tag, a receiving coil of the detection equipment receives the excited and oscillated tag signal, the received tag signal is amplified and filtered through signal amplification and AGC automatic gain amplification, and finally the tag signal is processed through a digital signal processor unit; the digital signal processor can sequentially identify and judge the frequency of the tag signal and compare and judge the amplitude of the tag signal in the process of processing and detecting the tag signal, then calculate the slope of the tag signal, and effectively distinguish whether the tag is a soft tag or a hard tag according to the characteristic of the amplitude slope of the feedback tag signal after the soft tag and the hard tag are excited and oscillated by the detection equipment (by comparing with a set amplitude slope threshold value, and distinguishing the soft tag from the hard tag), thereby meeting the use requirement that the use environment is the use requirement of distinguishing the soft tag from the hard tag.
2. Before the detection equipment transmits a 58KHz electromagnetic wave signal to a detection area, the detection equipment detects environmental noise and calculates a noise average value; the detection equipment calculates and compares the amplitude of the tag signal, and meanwhile, the detection equipment also compares the amplitude of the tag signal with the noise average value, and when the amplitude of the tag signal exceeds the set alarm threshold value and the noise average value, the design of the third step is entered, so that the second technical characteristic of the invention is achieved. The purpose of this design is: before the detection equipment transmits 58KHz electromagnetic wave signals to a detection area, the detection equipment detects environmental noise and calculates a noise average value, when the detection equipment works in detecting the environmental noise, the detection equipment does not transmit the 58KHz electromagnetic wave signals, no electromagnetic wave signals excite the tag, a receiving coil of the detection equipment receives the environmental noise signals, the received noise signals are amplified and filtered through signals, an AGC (Automatic Gain Control automatic gain controller) amplifies the environmental noise signals, the environmental noise signals are collected, finally the noise average value is obtained through processing of a digital signal processor unit, the detection equipment calculates and compares the amplitude of the tag signals, meanwhile the detection equipment compares the amplitude of the tag signals with the noise average value (better in recognition accuracy), and when the amplitude of the tag signals exceeds a set alarm threshold value and the noise average value, the step three is entered, so that the false recognition rate of the tag can be greatly reduced.
3. The digital signal processor unit in the detection device can calculate the amplitude slope of the tag signal; establishing a custom array function, and making N point data of a tag Signal acquired in a time period into an array called Signal, wherein the data of the array Signal is from Signal [0] to Signal [ N ], the Signal [0] is the first point acquired, the Signal [ N ] is the last point, and N is more than 500; then calculating the average value Va of the range class by calculating the arrays Signal 0 to Signal X, calculating the average value Vb of the range class by calculating the arrays Signal N-X to Signal N, calculating Vc by the formula Vc=Va-Vb, and calculating the Slope of the tag signal=Vc/T, wherein T is the design of N-point time, which is the third technical feature of the invention. The purpose of this design is: the digital signal processor unit in the detection device can calculate the amplitude slope of the tag signal; establishing a custom array function, and making N point data of a tag Signal acquired in a time period into an array called Signal, wherein the data of the array Signal is from Signal [0] to Signal [ N ], the Signal [0] is the first point acquired, the Signal [ N ] is the last point, and N is more than 500; then calculating the average value Va of the range class by calculating the arrays Signal [0] to Signal [ X ], calculating the average value Vb of the range class by calculating the arrays Signal [ N-X ] to Signal [ N ], calculating Vc by the formula Vc=Va-Vb, and calculating the Slope slope=Vc/T of the tag Signal, wherein T is N-point time, so that the Slope of the tag Signal can be accurately detected, and the soft tag and the hard tag can be accurately distinguished and identified.
4. When the slope of the label is calculated to be extremely small due to the fact that the label approaches the detection equipment, the digital Signal processor unit can remove the direct-current component of the label by taking the average value of noise as a reference Signal to obtain the absolute value of the label Signal, so that brand new label Signal data is formed, and then the digital Signal processor unit is used for calculating the slope of the amplitude of the label Signal again. The purpose of this design is: when the slope of the label is calculated to be extremely small due to the fact that the label is close to the detection equipment, the digital Signal processor unit can remove the direct-current component of the label by taking the average value of noise as a reference Signal to obtain the absolute value of the label Signal, so that brand-new label Signal data are formed, then the digital Signal processor unit calculates the slope of the amplitude of the label Signal again, when the label is close to the detection area of the equipment, the Signal fed back by the label is strong enough, the Signal is saturated after the Signal is amplified and filtered, and when the slope of the calculated label is extremely small, the detection equipment can accurately calculate the slope of the label.
5. The design that the digital signal processor unit in the detection equipment adopts a sliding filter average algorithm to process the environmental noise signals is fifth of the technical characteristics of the invention. The purpose of this design is: the digital signal processor unit in the detection device processes the environmental noise signal by adopting a sliding filter Average algorithm, namely the digital signal processor unit processes the environmental noise, and the digital signal processor unit comprises the sliding filter Average algorithm on the signal, and takes the noise signals of 5 moments in total, namely the noise signal of the current moment and the noise signal of 4 moments before the current moment, so that the value is taken to obtain a noise Average value Average of the latest time period, and the noise Average value Average is a real-time reference value for calculating the tag signal, thereby enabling the detection device to better identify the tag.
6. The automatic AGC control module can feed back the automatic AGC gain amplifying unit according to the calculated noise average value, and the design of adjusting the amplifying gain of the automatic AGC gain amplifying unit is realized. The purpose of this design is: the automatic AGC control module can feed back the automatic AGC gain amplifying unit according to the calculated noise average value, so that the automatic AGC gain amplifying unit can adjust the amplifying gain, and the detection equipment can be better adapted to the use environment.
The technical scheme is as follows: a58 KHz label identification method applied to electronic commodity anti-theft system detection equipment comprises the following steps: step one, a detection device transmits a 58KHz electromagnetic wave signal to a detection area, the tag transmits a feedback signal after receiving an excitation signal transmitted by the detection device, and the detection device calculates and identifies the frequency of the tag signal after receiving the feedback signal of the tag through a receiving coil of the detection device; step two, when the frequency of the tag signal accords with the set frequency range, the detection equipment calculates and compares the amplitude of the tag signal; and thirdly, when the amplitude of the tag signal exceeds a set alarm threshold, the detection equipment calculates the amplitude slope of the tag signal, compares the calculated amplitude slope with the set amplitude slope threshold, judges that the detected tag is a soft tag when the calculated amplitude slope is smaller than the set amplitude slope threshold, and judges that the detected tag is a hard tag when the calculated amplitude slope is larger than the set amplitude slope threshold.
Compared with the background technology, the 58KHz label identification method applied to the detection equipment of the electronic commodity anti-theft system can not only identify and detect the 58KHz label, but also judge that the 58KHz label is a soft label or a hard label; secondly, the 58KHz label identification method applied to the detection equipment of the electronic commodity anti-theft system has the advantages of good detection accuracy and low label false identification rate.
Drawings
Fig. 1 is a diagram showing a change in damped oscillation after the soft tag resonates.
Fig. 2 is a graph showing a change in damped oscillation after the hard tag resonates.
Fig. 3 is a flowchart of a 58KHz tag recognition method applied to an electronic article surveillance system detection device to detect environmental noise.
Fig. 4 is a flowchart of a method for identifying a 58KHz tag applied to an electronic article surveillance system detection apparatus.
Fig. 5 is a flowchart of the use of a 58KHz tag identification method applied to an electronic article surveillance system detection device.
Detailed Description
Example 1: reference is made to fig. 3-5. A58 KHz label identification method applied to electronic commodity anti-theft system detection equipment is characterized by comprising the following steps: step one, a detection device transmits a 58KHz electromagnetic wave signal to a detection area, the tag transmits a feedback signal after receiving an excitation signal transmitted by the detection device, and the detection device calculates and identifies the frequency of the tag signal after receiving the feedback signal of the tag through a receiving coil of the detection device; step two, when the frequency of the tag signal accords with the set frequency range, the detection equipment calculates and compares the amplitude of the tag signal; and thirdly, when the amplitude of the tag signal exceeds a set alarm threshold, the detection equipment calculates the amplitude slope of the tag signal, compares the calculated amplitude slope with the set amplitude slope threshold, judges that the detected tag is a soft tag when the calculated amplitude slope is smaller than the set amplitude slope threshold, and judges that the detected tag is a hard tag when the calculated amplitude slope is larger than the set amplitude slope threshold. The noise average value refers to an average value of the amplitude of the noise signal.
Before the detection equipment transmits a 58KHz electromagnetic wave signal to a detection area, the detection equipment detects environmental noise and calculates a noise average value; the digital signal processor unit processes environmental noise, and comprises a sliding filter Average algorithm for signals, wherein a total of 5 noise signals are taken, namely, a current noise signal at one moment and 4 noise signals at the previous moment, so that the purpose of the value taking is to obtain a noise Average value Average of the latest time period, and the noise Average value Average is a reference value for calculating a tag signal; and when the amplitude of the tag signal exceeds the set alarm threshold value and the noise average value at the same time, entering a step three.
The digital signal processor unit in the detection device can calculate the amplitude slope of the tag signal; establishing a custom array function, and making N point data of a tag Signal acquired in a time period into an array called Signal, wherein the data of the array Signal is from Signal [0] to Signal [ N ], the Signal [0] is the first point acquired, the Signal [ N ] is the last point, and N is more than 500; calculating the average value Va of the range class by calculating the arrays Signal 0 to Signal X, calculating the arrays Signal N-X to Signal N, wherein X is a natural number with small N, calculating the average value Vb of the range class, calculating Vc by the formula Vc=Va-Vb, and calculating the Slope slope=Vc/T of the tag Signal, wherein T is N point time; preferably, X is 20.
When the slope of the tag is calculated to be extremely small due to the fact that the tag approaches the detection device, the digital Signal processor unit can remove the tag direct current component by taking the noise average value as a reference Signal to obtain the absolute value of the tag Signal, so that brand new tag Signal data is formed, and then the digital Signal processor unit calculates the amplitude slope of the tag Signal again.
The digital signal processor unit in the detection device processes the environmental noise signal by adopting a sliding filter average algorithm. After the tag signal is received by the detection equipment through the coil, the tag signal is amplified by a pre-amplifying unit in the detection equipment, the amplified tag signal is filtered by a filter unit, the filtered tag signal is amplified by an AGC automatic gain amplifying unit, the tag signal is subjected to AD sampling by an AD sampling unit, the analog signal of the environmental noise is converted into a digital signal, and then the digital signal is processed by a digital signal processor unit. The automatic AGC control module can feed back the automatic AGC gain amplifying unit according to the calculated noise average value, and a feedback numerical database corresponding to the noise average value is established to realize the adjustment of the amplifying gain of the automatic AGC gain amplifying unit.
A58 KHz label identification process applied to electronic commodity anti-theft system detection equipment comprises the following steps: after the detection equipment starts to work, the system initializes and reads various working parameters of the detection equipment; the detection equipment firstly enters an environmental noise detection working process, namely the detection equipment does not emit 58KHz electromagnetic wave signals, the environmental noise is detected firstly, and a noise average value is calculated and used as a data operation reference; then the detection equipment enters a label detection working process, and the detection equipment emits 58KHz electromagnetic wave signals to deactivate label signals in a detection area; if the label is in the detection area, the excited label can send out a feedback signal, a receiving coil of the detection device receives the feedback signal of the label, the detection device enters the working calculation of identifying the characteristic of the label, firstly, the detection device can calculate whether the frequency of the label accords with the set frequency range, if not, the detection device can restart detection noise, and if so, the detection device enters the amplitude value judgment calculation of the label signal; after the detection equipment calculates the amplitude of the tag signal, comparing the calculated amplitude with a set tag alarm threshold value, wherein the calculated amplitude does not exceed the alarm threshold value, the detection equipment detects the environmental noise, and the detection equipment calculates the amplitude slope of the tag signal after exceeding the alarm threshold value; the detection device compares the amplitude slope of the tag signal with a set slope threshold value after calculating the amplitude slope of the tag signal, if the slope is small (namely, the amplitude slope of the tag signal is calculated to be smaller than the set slope threshold value), the detection device judges that the detected soft tag is detected, and if the slope is large (namely, the amplitude slope of the tag signal is calculated to be larger than the set slope threshold value), the detection device judges that the detected soft tag is a hard tag; in addition, a 58KHz soft label can be set as an alarm label according to the detection equipment, and a 58KHz hard label can also be set as an alarm label according to the detection equipment, so that the alarm is given out by generating an audible and visual alarm when the detection equipment alarms.
It should be understood that: although the above embodiments describe the design concept of the present invention in more detail, these descriptions are merely descriptions of the design concept of the present invention, and not limitations on the design concept of the present invention, and any combination, addition or modification not exceeding the design concept of the present invention falls within the scope of the present invention.

Claims (7)

1. A58 KHz label identification method applied to electronic commodity anti-theft system detection equipment is characterized by comprising the following steps: step one, a detection device transmits a 58KHz electromagnetic wave signal to a detection area, the tag transmits a feedback signal after receiving an excitation signal transmitted by the detection device, and the detection device calculates and identifies the frequency of the tag signal after receiving the feedback signal of the tag through a receiving coil of the detection device; step two, when the frequency of the tag signal accords with the set frequency range, the detection equipment calculates and compares the amplitude of the tag signal; and thirdly, when the amplitude of the tag signal exceeds a set alarm threshold, the detection equipment calculates the amplitude slope of the tag signal, compares the calculated amplitude slope with the set amplitude slope threshold, judges that the detected tag is a soft tag when the calculated amplitude slope is smaller than the set amplitude slope threshold, and judges that the detected tag is a hard tag when the calculated amplitude slope is larger than the set amplitude slope threshold.
2. The 58KHz tag recognition method applied to an electronic article surveillance system detection apparatus as claimed in claim 1, characterized by: before the detection equipment transmits a 58KHz electromagnetic wave signal to a detection area, the detection equipment detects environmental noise and calculates a noise average value; and when the amplitude of the tag signal exceeds the set alarm threshold value and the noise average value at the same time, entering a step three.
3. A 58KHz tag recognition method applied to an electronic article surveillance system detection device according to claim 1 or 2, characterized by: the digital signal processor unit in the detection device can calculate the amplitude slope of the tag signal; establishing a custom array function, and making N point data of a tag Signal acquired in a time period into an array called Signal, wherein the data of the array Signal is from Signal [0] to Signal [ N ], the Signal [0] is the first point acquired, the Signal [ N ] is the last point, and N is more than 500; then calculating the average value Va of the range class by calculating the arrays Signal 0 to Signal X, calculating the average value Vb of the range class by calculating the arrays Signal N-X to Signal N, calculating Vc by the formula Vc=Va-Vb, and calculating the Slope of the tag Signal slope=Vc/T, wherein T is N-point time.
4. A 58KHz tag recognition method applied to an electronic article surveillance system detection device as claimed in claim 3, characterized by: when the slope of the tag is calculated to be extremely small due to the fact that the tag approaches the detection device, the digital Signal processor unit can remove the tag direct current component by taking the noise average value as a reference Signal to obtain the absolute value of the tag Signal, so that brand new tag Signal data is formed, and then the digital Signal processor unit calculates the amplitude slope of the tag Signal again.
5. The 58KHz tag recognition method applied to an electronic article surveillance system detection apparatus as claimed in claim 1, characterized by: the digital signal processor unit in the detection device processes the environmental noise signal by adopting a sliding filter average algorithm.
6. The 58KHz tag recognition method applied to an electronic article surveillance system detection apparatus as claimed in claim 1, characterized by: after the tag signal is received by the detection equipment through the coil, the tag signal is amplified by a pre-amplifying unit in the detection equipment, the amplified tag signal is filtered by a filter unit, the filtered tag signal is amplified by an AGC automatic gain amplifying unit, the tag signal is subjected to AD sampling by an AD sampling unit, the analog signal of the environmental noise is converted into a digital signal, and then the digital signal is processed by a digital signal processor unit.
7. The 58KHz tag recognition method applied to an electronic article surveillance system detection apparatus as claimed in claim 6, characterized by: the automatic AGC control module can feed back the automatic AGC gain amplifying unit according to the calculated noise average value to realize the adjustment of the amplifying gain of the automatic AGC gain amplifying unit.
CN202310182799.XA 2023-02-21 2023-02-21 58KHz label identification method applied to electronic commodity anti-theft system detection equipment Pending CN116311737A (en)

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CN202310182799.XA CN116311737A (en) 2023-02-21 2023-02-21 58KHz label identification method applied to electronic commodity anti-theft system detection equipment

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