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CN103810782A - Intelligent coin authenticity detection device based on pulsed excitation and detection method of device - Google Patents

Intelligent coin authenticity detection device based on pulsed excitation and detection method of device Download PDF

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Publication number
CN103810782A
CN103810782A CN201410035100.8A CN201410035100A CN103810782A CN 103810782 A CN103810782 A CN 103810782A CN 201410035100 A CN201410035100 A CN 201410035100A CN 103810782 A CN103810782 A CN 103810782A
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coin
current vortex
signal
vortex sensor
circuit
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CN103810782B (en
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曹建福
张家良
杨耀旺
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Suzhou Academy of Xian Jiaotong University
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Suzhou Academy of Xian Jiaotong University
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Abstract

The invention discloses an intelligent coin authenticity detection device based on pulsed excitation and a detection method of the device. The intelligent coin authenticity detection device comprises a Hall sensor, two eddy current sensors, a detection circuit, an excitation circuit, a DSP (digital signal processor) module and the like and can be used for the fields such as bank distribution, public transportation and retail industry. The intelligent coin authenticity detection device can generate different induced voltage signals according to change of materials, thicknesses and patterns of coins, excitation signals are multi-frequency pulse signals, and frequencies of the excitation signals are changed by the aid of software programming. When the coins come, firstly, a starting point is judged by the aid of the Hall sensor; secondly, two eddy current voltage transmission signals are acquired, filtered and amplified; thirdly, the two eddy current voltage transmission signals are transmitted to a DSP for extracting multi-frequency characteristic quantity and characteristics of time domains and performing the authenticity identifying process; finally, detection results are transmitted to a controller of a terminal device by the aid of a communication port to perform alarm display and removing control. The intelligent coin authenticity detection device has the advantages that authenticity identification rate is high, new coin authenticity identification functions are conveniently expanded and the like.

Description

Coin truth intelligent detection device and detection method thereof based on pulse excitation
Technical field
The present invention relates to Detecting of coin technology, be specifically related to a kind of Coin truth intelligent detection device and detection method thereof based on pulse excitation.
Background technology
Because coin is in the widespread use of the field such as public transport, retail trade, therefore carries out coin recognizing method false distinguishing and have very important significance.Although the specie flow life-span is longer than bank note far away, but also need the regular withdrawal of currency from circulation, the coin and the counterfeit money that wear and tear too serious coin, stop circulating are rejected, need to classify, pack, make it to come back to circulation, the specie flow market of hundred billion scales that therefore each banking institution need to face.In addition, because current various fraud technology are more and more higher, and the kind of coin is very many again, and these all make coin differentiate and screen difficulty increase.The existing various coin false-identifying device accuracy of identification based on current vortex is generally lower, and cannot differentiate in time new some counterfeit moneys that produce in society, the coin false-identifying device price of simultaneously external major company is very expensive again, therefore needs to develop high-precision, to be convenient to expansion Multiple Currencies Intelligent counterfeit discrimination device.
Summary of the invention
The object of the invention is to provide a kind of Coin truth intelligent detection device and detection method thereof based on pulse excitation, can meet the quick false distinguishing demand of people to multiple Multiple Currencies coin, and differentiates that precision is high, cost is low.
In order to solve these problems of the prior art, technical scheme provided by the invention is:
A Coin truth intelligent detection device based on pulse excitation, Coin truth intelligent detection device is located at the front end of coin terminal device, and this intelligent detection device comprises multifrequency current vortex sensor, exciting circuit, testing circuit and DSP processing module;
Both sides, multifrequency current vortex sensor Yan Bi road arrange, according to coin pattern, coin material and coin
Variation in thickness produces different current vortex signals;
Exciting circuit is connected with DSP processing module, and the input signal of exciting circuit is processed mould from DSP
The TTL control signal that piece is exported, the output signal that exciting circuit produces is sent to and its phase
The false distinguishing multifrequency current vortex sensor connecting;
False distinguishing is connected with testing circuit with multifrequency current vortex sensor, and false distinguishing obtains with multifrequency current vortex sensor
To current vortex signal after testing circuit carry out filter and amplification, the analog signals obtaining send into
DSP processing module;
The analog signals receiving is changed into digital quantity signal by DSP processing module, and extract this number
Word amount signal is the spies such as the maximal value, integrated value, 3 harmonic components of digitized current vortex signal
The value of levying, gets after 5 characteristic quantities of coin, by relatively reflecting with standard database analysis
Pseudo-identification;
The false distinguishing result obtaining is delivered to coin terminal device by serial communication port and is shown, rejects control
Deng operation.
For technique scheme, inventor also has further optimization embodiment.
As optimization, described false distinguishing comprises reflective electric vortex sensor and transmission-type current vortex sensor with multifrequency current vortex sensor, reflective electric vortex sensor obtains current vortex signal according to the variation of coin pattern, the receiving coil of reflective electric vortex sensor and transmitting coil are made on the skeleton of hollow cylinder, receiving coil external diameter is 30mm, individual layer coiling, near coin road, transmitting coil external diameter be 18mm, copper cash flat around; Transmission-type current vortex sensor obtains current vortex signal according to the variation of coin material and thickness, the coil rack of transmission-type current vortex sensor is that xsect is rectangular hollow cylinder, the transmitting coil of transmission-type current vortex sensor and receiving coil are flat around forming by copper cash, two both sides, coil apportion coin road.
As optimization, the gating pulse that the input signal of exciting circuit produces for DSP processing module, exciting circuit comprises control circuit and H bridge driving circuit, the TTL control signal that DSP processing module is exported is delivered to H bridge driving circuit through control circuit and is produced pulse excitation signal two groups of positive-negative half-cycle symmetries, that dutycycle is 20%, the frequency of pumping signal is 18kHz and 45kHz, signal peak is+12v and-12v.
As optimization, testing circuit is receiving after the current vortex signal that false distinguishing multifrequency current vortex sensor detects, by second order Butterworth circuit, this current vortex signal is carried out to filtering, give DSP processing module after becoming 0~3v voltage signal by operational amplification circuit.
As optimization, near the inflow point in coin road, Hall element is being set, for coin is dropped into and judged, described Hall element is connected with testing circuit, the output voltage U of Hall element hcircuit filtering is delivered to DSP processing module after amplifying after testing.
The present invention is under multifrequency pulse excitation, the spectrum value of each frequency to current vortex signal utilizes Fourier transform and carries out separation and Extraction by software approach, to obtain fundamental component, third-harmonic component, quintuple harmonics component, ask for maximal value, two kinds of temporal signatures amounts of integrated value simultaneously.In order to prevent undetected and raising detection speed, carrying out coin arrival with Hall element in conjunction with current vortex sensor judges, first gather output voltage by Hall element, in the time that exceeding setting value, magnitude of voltage can determine that coin arrives, further judge according to current vortex sensor again, in the time that continuous three waveform maximal values are less than the threshold value of setting, start the leaching process of characteristic quantity.In false distinguishing identification, adopt the thought of " with very anti-false ", first set up the standard database of genuine note by mode of learning, then under diagnostic mode, the various coin characteristic quantities and the standard database that obtain are compared to analysis.
The Coin detection device of design is made up of Hall element, two kinds of current vortex sensors, testing circuit, exciting circuit, DSP processing module etc., and the extraction of coin characteristic quantity and false distinguishing identifying are completed by DSP processing module.The control signal being produced by the timer in DSP processing module is delivered to exciting circuit and is produced multifrequency pulse, and the current vortex signal of testing circuit collection is sent into DSP processing module through second order Butterworth low-pass filter circuit and operational amplification circuit.DSP processing module gathers two-way current vortex signal and extracts time domain, frequency domain character, carries out fusion recognition and completes false distinguishing, is connected with coin intelligent terminal by serial port, the false distinguishing result of acquisition is delivered to coin intelligent terminal and show, and reject control.
The present invention also provides a kind of Coin truth detection method, and the method adopts the above-mentioned Coin truth intelligent detection device based on pulse excitation, and the method is by the output voltage U of continuous acquisition Hall element hand relatively, work as U hwhen >3V, start to gather the voltage signal of multifrequency current vortex sensor after delay 5ms, every 128 sampled datas are as a data set S i, (i=1,2 ...) and ask for signal peak U i, (i=1,2 ...), work as U i>U i+1>U i+2and U iwhen < δ (wherein δ is threshold value), start the leaching process of characteristic quantity;
For the leaching process of the reflective electric vortex sensor in multifrequency current vortex sensor and the each characteristic quantity of transmission-type current vortex sensor, concrete steps are:
1), using 128 sampled datas as 1 group, gather successively 10 groups of data S i+2+j, (j=0,1 ..., 9) and carry out feature extraction, obtain respectively S i+2+jmaximal value X i+2+jand corresponding maximal value label a i+2+j, and remove { X i+2+j} j=0 ..., 9in maximal value and minimum value and carry out average value filtering, obtain time domain maximal value characteristic quantity;
2) with a of each data set i+2+jfor starting point, remove maximal value and the minimum value of same position data in every group data set and carry out average value filtering, to calculate one group of data mean value
Figure BDA0000461643590000031
carry out base 2DIT-FFT conversion, obtain three harmonic components;
3) obtain coin by time current vortex value
Figure BDA0000461643590000041
to without coin by time current vortex mean value x 0departure
Figure BDA0000461643590000042
pass through summation operation obtain the integrated value of every group of data, then by 10 groups of integrated values are averaged to value filtering, obtain integration characteristic quantity.
The inventive method is compared with existing coin false distinguishing method, adopt the multiple-frequency signal of impulse form as pumping signal, in pumping signal, comprise and cover the six kind frequencies of 18kHz to 225kHz, and adopt the characteristic quantity of multiple frequency domain and time domain, because coin material and the thickness low and medium frequency signal sensitivity to 16kHz-100kHz, and pattern is to high-frequency signal sensitivity more than 100kHz, therefore adopt multiple-frequency signal can obtain the information of coin different aspect, various features can be never with stressing face reflection coin characteristic simultaneously.Pulse signal is generated by DSP timer, and pulsed frequency can be programmed and can be adapted to Multiple Currencies, and experimental result shows to improve by these the false distinguishing rate and the discrimination that have obviously improved coin.Aspect anti-interference, current vortex signal input channel is adopted to second order Butterworth low-pass filtering, when feature extraction, adopt average value filtering, DSP processing module changes into digital signal by the AD circuit including by analog voltage signal, the whole digitizings of feature extraction and identifying, have avoided hardware filtering device to extract the mutual interference phenomenon of characterization method.
With respect to scheme of the prior art, advantage of the present invention is:
The invention describes a kind of Coin truth intelligent detection device and detection method thereof based on pulse excitation, can be used for the fields such as bank's sorting, public transport, retail trade.The present invention can be according to specie material, the variation of thickness and pattern produces different induced voltage signals, the exciting signal frequency adopting can change by software programming, Coin truth intelligent detection device is by Hall element, two kinds of current vortex sensors, testing circuit, exciting circuit, the formations such as DSP processing module, when arriving, coin first carries out starting point judgement by Hall element, then gather the defeated voltage signal of two-way current vortex and carry out filtering, amplify, deliver to again feature extraction and the false distinguishing identifying of in dsp processor, carrying out multi-frequency characteristic quantity and time domain, testing result is delivered to by communication port and on the controller of terminal device, is carried out alarm indication and reject and control, it is high that patent of the present invention has false distinguishing rate, be convenient to new coin counterfeit identifying function the feature such as to expand.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described:
Fig. 1 is the one-piece construction figure of Coin truth intelligent detection device in the embodiment of the present invention one;
Fig. 2 is the theory diagram of Coin truth intelligent detection device in the embodiment of the present invention one;
Fig. 3 is the structural drawing of reflective electric vortex sensor in the embodiment of the present invention one;
Fig. 4 is the structural drawing of transmission-type current vortex sensor in the embodiment of the present invention one;
Fig. 5 is the detection signal under the pulse excitation signal on reflective electric vortex sensor in the embodiment of the present invention one, two kinds of situations, the pulse excitation signal that wherein (a) receives for reflective electric vortex sensor, (b) be the detection signal of reflective electric vortex sensor during without coin, (c) detection signal of reflective electric vortex sensor when having coin;
Fig. 6 is the detection signal under the pulse excitation signal on transmission-type current vortex sensor in the embodiment of the present invention one, two kinds of situations, the pulse excitation signal that wherein (d) receives for transmission-type current vortex sensor, (e) be the detection signal of transmission-type current vortex sensor during without coin, (f) detection signal of transmission-type current vortex sensor when having coin;
Fig. 7 is the process flow diagram that in the embodiment of the present invention one, DSP processing module is carried out Characteristic Extraction and coin false distinguishing data processing;
Wherein: 1, coin terminal device; 2, DSP processing module; Testing circuit; 4, reflective electric vortex sensor; 5, Hall element; 6, coin to be detected; 7, coin road; 8, transmission-type current vortex sensor; 9, exciting circuit.
Embodiment
Below in conjunction with specific embodiment, such scheme is described further.Should be understood that these embodiment are not limited to limit the scope of the invention for the present invention is described.The implementation condition adopting in embodiment can be done further adjustment according to the condition of concrete producer, and not marked implementation condition is generally the condition in normal experiment.
Embodiment mono-:
The present embodiment has been described a kind of Coin truth intelligent detection device based on pulse excitation, its one-piece construction as shown in Figure 1, theory diagram as shown in Figure 2, Coin truth intelligent detection device is located at the front end of coin terminal device 1, and this intelligent detection device comprises coin road 7, multifrequency current vortex sensor, exciting circuit 9, testing circuit 3 and DSP processing module 2;
7 both sides, multifrequency current vortex sensor Yan Bi road arrange, according to coin 6 patterns to be detected, to be detected
Coin 6 materials and coin to be detected 6 variation in thickness produce different current vortex signals;
Exciting circuit 9 is connected with DSP processing module 2, and the input signal of exciting circuit 9 is from DSP
The TTL control signal that processing module 2 is exported, the output signal that exciting circuit 9 produces is sent out
Deliver to coupled multifrequency current vortex sensor;
Multifrequency current vortex sensor is connected with testing circuit 3, the current vortex that multifrequency current vortex sensor obtains
Signal after testing circuit 3 carries out filter and amplification, and the analog signals obtaining is sent into DSP and processed
Module 2;
The analog signals receiving is changed into digital quantity signal by DSP processing module 2, and extract this
Digital quantity signal is maximal value, integrated value, 3 harmonic components of digitized current vortex signal etc.
Eigenwert, gets after 5 characteristic quantities of coin 6 to be detected, by with standard database analysis
Relatively carry out false distinguishing identification;
The false distinguishing result obtaining is delivered to coin terminal device 1 by serial communication port and is shown, rejects control
The operations such as system.
Described multifrequency current vortex sensor comprises reflective electric vortex sensor 4 and transmission-type current vortex sensor 8.Reflective electric vortex sensor 4 as shown in Figure 3, reflective electric vortex sensor 4 obtains current vortex signal according to the variation of coin pattern, the receiving coil of reflective electric vortex sensor 4 and transmitting coil are made on the skeleton of hollow cylinder, inductance value is respectively 4.5 μ H, 100 μ H, receiving coil external diameter is 30mm, individual layer coiling, near coin road 7, transmitting coil external diameter and internal diameter be respectively 18mm and 6mm, copper cash flat around; Transmission-type current vortex sensor 8 as shown in Figure 4, transmission-type current vortex sensor 8 obtains current vortex signal according to the variation of coin material and thickness, the coil rack of transmission-type current vortex sensor 8 is that xsect is rectangular hollow cylinder, the transmitting coil of transmission-type current vortex sensor 8 and receiving coil are flat around forming by copper cash, two 7 both sides, coil apportion coin roads, inductance value is respectively 380 μ H, 38 μ H.The coil of two kinds of sensors is installed on the ceramic wafer that 0.5mm is thick.
Near the inflow point in coin road 7, Hall element 5 is being set, for coin is dropped into and judged, described Hall element 5 is connected with testing circuit 3, the output voltage U of Hall element 5 hafter circuit 3 filter and amplifications, deliver to DSP processing module 2 after testing.
The pulsed frequency that the input signal of exciting circuit 9 produces for DSP processing module 2 and the TTL control signal of variable duty ratio, exciting circuit 9 comprises control circuit and H bridge driving circuit, the TTL control signal that DSP processing module 2 is exported is delivered to H bridge driving circuit through control circuit and is produced pulse excitation signal two groups of positive-negative half-cycle symmetries, that dutycycle is 20%, the frequency of pumping signal is 18kHz and 45kHz, signal peak is+12v and-12v.
Under the effect of multifrequency pulse pumping signal, to different Currency Type Detecting of coins to signal wave crest trough value and waveform all present larger difference, coin 6 materials to be detected, size and pattern can directly affect the waveform of detection signal.The pulse excitation signal of positive-negative half-cycle symmetry produces by H bridge driving circuit, drives control chip to adopt the bootstrap type chip I R2110 of American I R company.In H bridge driving circuit, two brachium pontis have respectively used an IR2110 to drive, and contain two bootstrap capacitors, four metal-oxide-semiconductors.Pumping signal is clapped and is produced by four, the electric current of a direction of first count portion's formation in coil, and second count discharges rapidly the electric current in coil, and third shot makes coil inside row become a reciprocal electric current, and the 4th bat discharges reciprocal electric current rapidly.In H bridge driving circuit, the selection of bootstrap diode and bootstrap capacitor size affect pulse waveform, and bootstrap diode is for isolate bus voltage, and the bootstrap diode model of selection is FR107, and its rated current is 1A.Bootstrap capacitor provides electric charge to guarantee effective conducting of field effect transistor, and its value is 0.1 μ F.In order to eliminate " leading directly to " phenomenon, bring out a resistance two ends cache switching diodes in parallel in the output that suspends, pull open the mistiming of suspension end low and high level conversion, the cache switching diodes model of selection is 1N4148, its maximum forward current value is 500mA.The control signal of H bridge driving circuit is produced by the timer clock of DSP processing module 2, and the adjusting of its frequency and dutycycle realizes by the method for software programming.
Testing circuit 3, receiving after the current vortex signal that multifrequency current vortex sensor detects, carries out filtering by second order Butterworth circuit to this current vortex signal, gives DSP processing module 2 after becoming 0~3v voltage signal by operational amplification circuit.
Pumping signal in reflective electric vortex sensor 4 and current vortex detection signal are shown in Figure 5, in Fig. 5 (a) and (b), (c) be followed successively by the pulse excitation signal of reflective electric vortex sensor 4, detection signal during without coin, detection signal while having coin; Pumping signal in transmission-type current vortex sensor 8 and current vortex detection signal are shown in Figure 6, in Fig. 5 (a) and (b), (c) be followed successively by the pulse excitation signal of transmission-type current vortex sensor 8, detection signal during without coin, detection signal while having coin.
And Characteristic Extraction and false distinguishing flow process are as shown in Figure 7, after starting, first carry out initialization, then judge mode of operation.If mode of operation is mode of learning, utilize genuine note sample to carry out training study, obtain standard feature database.If when diagnostic mode, first carry out coin arrival judgement, utilize Hall element 5 data to judge the arrival of coin in conjunction with multifrequency current vortex sensor data, read Hall element 5 and gather output voltage U h, work as U hwhen >3V (threshold value), judge that coin arrives the current vortex field of sensor, do further judgement according to the voltage signal of current vortex sensor again, read transmission-type current vortex waveform values and ask for waveform maximal value, judge whether continuous three waveform maximal values are less than the threshold value of setting, if be all less than threshold value, start feature extraction.As shown in Figure 7, using 128 sampled datas as 1 group, gather successively 10 groups of data and carry out filtering.Processing block 1 is asked for process for time domain maximal value characteristic quantity, obtains respectively maximal value and the corresponding maximal value label of each data group; Processing block 2 is that three harmonic components are asked for process, take the maximal value label of each data set as starting point, remove maximal value and the minimum value of same position data in every group data set, the spectrum value of each frequency to current vortex signal carries out base 2DIT-FFT conversion, extracts fundamental component, third-harmonic component, the quintuple harmonics component of every group; Processing block 3 is asked for process for integration characteristic quantity, count coins by time current vortex value to without coin by time current vortex mean value departure, obtain the integrated value of every group of data by summation operation; Processing block 4 averages value filtering to the value of trying to achieve with top block diagram of FIG, obtains five characteristic quantities.Complete after Characteristic Extraction process, utilized search tree method that the characteristic quantity of acquisition and standard feature database are compared to analysis, whether mated with Standard Eigenvalue according to characteristic quantity, obtained false distinguishing result.
DSP processing module 2 is connected with coin intelligent terminal by RS232, the false distinguishing result of acquisition is delivered to coin intelligent terminal and show, and driven and rejected topworks by I/O driving circuit, and counterfeit money is rejected.
Embodiment bis-:
The present invention also provides a kind of Coin truth detection method, and the method adopts the above-mentioned Coin truth intelligent detection device based on pulse excitation, and the method is by the output voltage U of continuous acquisition Hall element hand relatively, work as U hwhen >3V, start to gather the voltage signal of multifrequency current vortex sensor after delay 5ms, every 128 sampled datas are as a data set S i, (i=1,2 ...) and ask for signal peak U i, (i=1,2 ...), work as U i>U i+1>U i+2and U iwhen < δ, start the leaching process of characteristic quantity;
For the leaching process of the reflective electric vortex sensor in multifrequency current vortex sensor and the each characteristic quantity of transmission-type current vortex sensor, concrete steps are:
4), using 128 sampled datas as 1 group, gather successively 10 groups of data S i+2+j, (j=0,1 ..., 9) and carry out feature extraction, obtain respectively S i+2+jmaximal value X i+2+jand corresponding maximal value label a i+2+j, and remove { X i+2+j} j=0 ..., 9in maximal value and minimum value and carry out average value filtering, obtain time domain maximal value characteristic quantity;
5) with a of each data set i+2+jfor starting point, remove maximal value and the minimum value of same position data in every group data set and carry out average value filtering, to calculate one group of data mean value
Figure BDA0000461643590000091
carry out base 2DIT-FFT conversion, obtain three harmonic components;
6) obtain coin by time current vortex value
Figure BDA0000461643590000092
to without coin by time current vortex mean value x0 departure pass through summation operation
Figure BDA0000461643590000094
obtain the integrated value of every group of data, then by 10 groups of integrated values are averaged to value filtering, obtain integration characteristic quantity.
Above-mentioned example is only explanation technical conceive of the present invention and feature, and its object is to allow person skilled in the art can understand content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalent transformations that Spirit Essence does according to the present invention or modification, within all should being encompassed in protection scope of the present invention.

Claims (6)

1. the Coin truth intelligent detection device based on pulse excitation, is characterized in that, this intelligent detection device comprises multifrequency current vortex sensor, exciting circuit, testing circuit and DSP processing module;
Multifrequency current vortex sensor changes and produces different current vortex signals according to coin pattern, coin material and coin thickness;
Exciting circuit is connected with DSP processing module, the TTL control signal that the input signal of exciting circuit is exported from DSP processing module, and the output signal that exciting circuit produces is sent to coupled multifrequency current vortex sensor;
Multifrequency current vortex sensor is connected with testing circuit, and the current vortex signal that multifrequency current vortex sensor obtains after testing circuit carries out filter and amplification, and the analog signals obtaining is sent into DSP processing module;
The analog signals receiving is changed into digital quantity signal by DSP processing module, and extract the eigenwerts such as maximal value that this digital quantity signal is digitized current vortex signal, integrated value, 3 harmonic components, get after 5 characteristic quantities of coin, by relatively carrying out false distinguishing identification with standard database analysis;
The false distinguishing result obtaining is delivered to coin terminal device by serial communication port and is shown, rejects the operations such as control.
2. the Coin truth intelligent detection device based on pulse excitation according to claim 1, it is characterized in that, described multifrequency current vortex sensor comprises reflective electric vortex sensor and transmission-type current vortex sensor, reflective electric vortex sensor obtains current vortex signal according to the variation of coin pattern, the receiving coil of reflective electric vortex sensor and transmitting coil are made on the skeleton of hollow cylinder, receiving coil external diameter is 30mm, individual layer coiling, near coin road, transmitting coil external diameter be 18mm, copper cash flat around; Transmission-type current vortex sensor obtains current vortex signal according to the variation of coin material and thickness, the coil rack of transmission-type current vortex sensor is that xsect is rectangular hollow cylinder, the transmitting coil of transmission-type current vortex sensor and receiving coil are flat around forming by copper cash, two both sides, coil apportion coin road.
3. the Coin truth intelligent detection device based on pulse excitation according to claim 1, it is characterized in that, the gating pulse that the input signal of exciting circuit produces for DSP processing module, exciting circuit comprises control circuit and H bridge driving circuit, the TTL control signal that DSP processing module is exported is delivered to H bridge driving circuit through control circuit and is produced pulse excitation signal two groups of positive-negative half-cycle symmetries, that dutycycle is 20%, the frequency of pumping signal is 18kHz and 45kHz, signal peak is+12v and-12v.
4. the Coin truth intelligent detection device based on pulse excitation according to claim 1, it is characterized in that, testing circuit is receiving after the current vortex signal that multifrequency current vortex sensor detects, by second order Butterworth circuit, this current vortex signal is carried out to filtering, give DSP processing module after becoming 0~3v voltage signal by operational amplification circuit.
5. the Coin truth intelligent detection device based on pulse excitation according to claim 1, it is characterized in that, near the inflow point in coin road, Hall element is being set, for coin is dropped into and judged, described Hall element is connected with testing circuit, the output voltage U of Hall element hcircuit filtering is delivered to DSP processing module after amplifying after testing.
6. a Coin truth detection method, the method adopts the Coin truth intelligent detection device based on pulse excitation described in claim 1 to 5 any one, it is characterized in that, and the method is by the output voltage U of continuous acquisition Hall element hand relatively, work as U hwhen >3V, start to gather the voltage signal of multifrequency current vortex sensor after delay 5ms, every 128 sampled datas are as a data set S i, (i=1,2 ...) and ask for signal peak U i, (i=1,2 ...), work as U i>U i+1>U i+2and U iwhen < δ, wherein δ is threshold value, starts the leaching process of characteristic quantity;
For the leaching process of the reflective electric vortex sensor in multifrequency current vortex sensor and the each characteristic quantity of transmission-type current vortex sensor, concrete steps are:
1), using 128 sampled datas as 1 group, gather successively 10 groups of data S i+2+j, (j=0,1 ..., 9) and carry out feature extraction, obtain respectively S i+2+jmaximal value X i+2+jand corresponding maximal value label a i+2+j, and remove { X i+2+j} j=0 ..., 9in maximal value and minimum value and carry out average value filtering, obtain time domain maximal value characteristic quantity;
2) with a of each data set i+2+jfor starting point, remove maximal value and the minimum value of same position data in every group data set and carry out average value filtering, to calculate one group of data mean value
Figure FDA0000461643580000021
carry out base 2DIT-FFT conversion, obtain three harmonic components;
3) obtain coin by time current vortex value
Figure FDA0000461643580000022
to without coin by time current vortex mean value x 0departure pass through summation operation
Figure FDA0000461643580000024
obtain the integrated value of every group of data, then by 10 groups of integrated values are averaged to value filtering, obtain integration characteristic quantity.
CN201410035100.8A 2014-01-24 2014-01-24 Intelligent coin authenticity detection device based on pulsed excitation and detection method of device Expired - Fee Related CN103810782B (en)

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Publication number Priority date Publication date Assignee Title
KR20220060880A (en) 2020-11-05 2022-05-12 주식회사 엘지에너지솔루션 Eddy current sensor for detecting crack of battery cell and system for detecting crack of battery including the same

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2422941A (en) * 2005-01-31 2006-08-09 Innovative Technology Ltd Coin validation
CN1856808A (en) * 2003-09-24 2006-11-01 斯坎硬币工业公司 Coin discriminator
JP2008003672A (en) * 2006-06-20 2008-01-10 Laurel Seiki Kk Identification device for disk-shaped metal
CN101286248A (en) * 2008-05-22 2008-10-15 中钞长城金融设备控股有限公司 Coin magnetoelectric characteristic parameters dynamic multi-frequency detection method and detector
CN102737432A (en) * 2012-06-18 2012-10-17 北京航天控制仪器研究所 Coin differentiating system and coin differentiating method
CN102831691A (en) * 2012-08-21 2012-12-19 上海海事大学 Electromagnetic sensor-based coin sorting and counterfeit detecting device and sorting and counterfeit detecting method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1856808A (en) * 2003-09-24 2006-11-01 斯坎硬币工业公司 Coin discriminator
GB2422941A (en) * 2005-01-31 2006-08-09 Innovative Technology Ltd Coin validation
JP2008003672A (en) * 2006-06-20 2008-01-10 Laurel Seiki Kk Identification device for disk-shaped metal
CN101286248A (en) * 2008-05-22 2008-10-15 中钞长城金融设备控股有限公司 Coin magnetoelectric characteristic parameters dynamic multi-frequency detection method and detector
CN102737432A (en) * 2012-06-18 2012-10-17 北京航天控制仪器研究所 Coin differentiating system and coin differentiating method
CN102831691A (en) * 2012-08-21 2012-12-19 上海海事大学 Electromagnetic sensor-based coin sorting and counterfeit detecting device and sorting and counterfeit detecting method thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘艺柱: "基于电涡流传感器的硬币识别系统的设计", 《河南理工大学学报(自然科学学报)》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106688020A (en) * 2014-09-16 2017-05-17 日本功勒克斯股份有限公司 Coin processing device
CN106688020B (en) * 2014-09-16 2019-02-15 日本功勒克斯股份有限公司 Coin processor
CN105809810A (en) * 2014-12-31 2016-07-27 聚龙股份有限公司 Coin detection system and method
CN105374106A (en) * 2015-11-04 2016-03-02 东方通信股份有限公司 ATM bank note detection apparatus and detection method
CN105427447A (en) * 2015-11-04 2016-03-23 东方通信股份有限公司 ATM paper currency detection device and method
CN105374106B (en) * 2015-11-04 2018-03-16 东方通信股份有限公司 A kind of ATM note detection device and detection method
CN106296967A (en) * 2016-08-04 2017-01-04 南京中钞长城金融设备有限公司 A kind of based on monocoil double frequency detection Coin identifying apparatus and recognition methods
CN106600808A (en) * 2016-12-09 2017-04-26 深圳市倍量电子有限公司 Coin identification method and coin identification device
CN107918968A (en) * 2017-10-27 2018-04-17 广州畅阳电子科技有限公司 A kind of Coin identifying apparatus and recognition methods
CN108038955A (en) * 2017-11-29 2018-05-15 广州畅阳电子科技有限公司 A kind of Coin sorting kicks coin device and method
CN113638191A (en) * 2021-05-29 2021-11-12 中国电波传播研究所(中国电子科技集团公司第二十二研究所) Washing machine metal foreign matter detection system and method based on pulse type electromagnetic induction principle
CN113638191B (en) * 2021-05-29 2024-04-05 中国电波传播研究所(中国电子科技集团公司第二十二研究所) Washing machine metal foreign matter detection system and method based on pulse electromagnetic induction

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