CN103439365A - Device and method for detecting water content of fresh tobacco leaves - Google Patents

Device and method for detecting water content of fresh tobacco leaves Download PDF

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Publication number
CN103439365A
CN103439365A CN2013103698114A CN201310369811A CN103439365A CN 103439365 A CN103439365 A CN 103439365A CN 2013103698114 A CN2013103698114 A CN 2013103698114A CN 201310369811 A CN201310369811 A CN 201310369811A CN 103439365 A CN103439365 A CN 103439365A
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fresh tobacco
tobacco leaf
new fresh
electrically connected
saw
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惠国华
李晨迪
周于人
杜桂苏
周瑶
詹玉丽
邵拓
李曼
蔡艳芳
黄洁
王敏敏
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Zhejiang Gongshang University
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Zhejiang Gongshang University
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Abstract

The invention discloses a device and a method for detecting water content of fresh tobacco leaves. The device comprises a detection box, a first electrode plate, a second electrode plate, a frequency measuring device and a computer, wherein the detection box is internally provided with an SAW (Surface Acoustic Wave) harmonic vibration detector and a stabilized voltage supply; the stabilized voltage supply is electrically connected with a power supply end of the SAW harmonic vibration detector; two detection ends of the SAW harmonic vibration detector are electrically connected with the first electrode plate and the second electrode plate respectively; the output end of the SAW harmonic vibration detector is electrically connected with the input end of the frequency measuring device; the output end of the frequency measuring device is electrically connected with the computer. With the method, the fresh tobacco leaves to be detected are detected through the SAW harmonic vibration detector, a characteristic value M is obtained after nonlinear stochastic resonance processing of frequency of output signal of the SAW harmonic vibration detector, and the characteristic value is substituted into a forecast formula of proportion of the water content to calculate and obtain the water content of the fresh tobacco leaves. According to the device and the method, the water content of the fresh tobacco leaves can be quickly and accurately detected in a lossless manner.

Description

A kind of new fresh tobacco leaf device for detecting water content and method
Technical field
The present invention relates to water cut detection technique field, relate in particular to a kind of new fresh tobacco leaf device for detecting water content and method.
Background technology
In tobacco workmanship research, the baking character of new fresh tobacco leaf water cut and flue-cured tobacco is in close relations, and new fresh tobacco leaf water cut is directly connected to the important basis of the rationalization of baking pattern optimization and baking process.The new fresh tobacco leaf dry matter content that water cut is many is low, and dry decomposition and inversion, xanthochromia, brown stain are all very fast.The tobacco leaf dry matter content that water cut is few is higher, and xanthochromia, brown stain time are long, and this is also the key factor that is related to the tobacco product quality.
The standard method of moisture measurement is oven drying method, but oven drying method is that loss measurement is arranged, and need to destroy sample, and Measuring Time is very long, complex steps.So the instrument measuring method of water cut occurred, Microwave Water point-score, electric capacity moisture method, Neutron Moisture method, electrode water point-score etc. arranged.Conventional method to new fresh tobacco leaf moisture measurement is oven drying method, capacitance method, Electromagnetic Wave Method etc., but these methods generally have destructiveness, noncontinuity, and very time-consuming.
China Patent Publication No. CN202583110, open day on Dec 5th, 2012, the name of utility model is called Grain Moisture Analyzer, this application case discloses a kind of Grain Moisture Analyzer, it includes circuit board, be arranged at the central processing unit on circuit board, the power supply be connected with central processing unit, cereal sensor motor driver module, dryer start module, temperature sensor, cereal sensor, amplifying circuit and display screen, and cereal sensor motor driver module, dryer start module and amplifying circuit all is arranged on circuit board.Its weak point is, this Grain Moisture Analyzer adopts the mode of drying to detect grain moisture, and detection time is longer.
Summary of the invention
The objective of the invention is to overcome existing new fresh tobacco leaf water cut detection method destructiveness, noncontinuity are arranged, and the technical matters that detection time is longer, a kind of new fresh tobacco leaf device for detecting water content and method are provided, and it can fast, accurately, nondestructively detect the water cut of new fresh tobacco leaf.
In order to address the above problem, the present invention is achieved by the following technical solutions:
A kind of new fresh tobacco leaf device for detecting water content of the present invention, comprise detection case, the first electrode slice, the second electrode slice, frequency measuring equipment and computing machine, be provided with SAW resonance detecting device and stabilized voltage supply in described detection case, described the first electrode slice is fixed on the detection case upper surface, described the second electrode slice is positioned at the detection case top, the both sides of described the second electrode slice all are provided with fixed band, the end of described fixed band and detection case top removably connect, the top of described detection case is provided with radome, described radome and detection case removably connect, the top of described radome is provided with handle, the inside surface of described detection case is provided with metal conducting layer, described stabilized voltage supply is electrically connected to the power end of SAW resonance detecting device, two test sides of described SAW resonance detecting device are electrically connected to the first electrode slice and the second electrode slice respectively, the output terminal of described SAW resonance detecting device is electrically connected to the input end of frequency measuring equipment, the output terminal of described frequency measuring equipment is electrically connected to computing machine.
In the technical program, during detection, new fresh tobacco leaf to be measured is placed between the first electrode slice and the second electrode slice, the second electrode slice is fixed by fixed band, the first electrode slice and the second electrode slice are clamped fresh tobacco leaf, guarantee to detect stylish fresh tobacco leaf and fully contact with two electrode slices.Cover radome, the metal conducting layer of radome and detection case inside surface shields extraneous radiation interference.Handle on radome is convenient to taking of radome and the carrying when radome and detection case link together.
Then SAW resonance detecting device is detected fresh tobacco leaf to be measured.Dielectric property due to new fresh tobacco leaf, the existence of new fresh tobacco leaf causes the electric current of SAW resonant circuit to change, the new fresh tobacco leaf dielectric property difference of different moisture content, the frequency difference of the voltage signal that the new fresh tobacco leaf of SAW resonance detecting device detection different moisture content is exported.Frequency measuring equipment is for detection of the frequency of SAW resonance detecting device output voltage signal, and the frequency response curve of output SAW resonance detecting device is to computing machine.Computing machine is sampled to frequency response curve, obtain 120 sampled values, using sampled value as input data input non-linear stochastic resonance model, non-linear stochastic resonance model output signal-to-noise ratio curve, there are two signal-to-noise ratio peak in this signal to noise ratio (S/N ratio) curve, using the difference of two signal-to-noise ratio peak as eigenwert M, just eigenwert M brings water cut scale prediction formula: M=c+dWk into, wherein c and d are constant, and Wk is water cut, calculate new fresh tobacco leaf water cut.
As preferably, described detection case is rectangular-shaped, and described radome is rectangular cover, the length of described detection case is 80cm-100cm, and width is 30m-50cm, is highly 5cm-15cm, the length of described radome is 80cm-100cm, and width is 30m-50cm, is highly 5cm-10cm.
As preferably, described handle is arch, and described handle two ends are hinged with radome respectively.
As preferably, described SAW resonance detecting device comprises SAW (Surface Acoustic Wave) resonator, resistance R 1, resistance R 2, inductance L 1, inductance L 2, capacitor C 1, capacitor C 2, triode Q1 and triode Q2, inductance L 1 one ends are electrically connected to positive pole of stabilized voltage supply, inductance L 1 other end and the second electrode slice, resistance R 1 one ends, capacitor C 2 one ends and inductance L 2 one ends are electrically connected to, resistance R 1 other end is electrically connected to the base stage of triode Q1 and the output terminal of SAW (Surface Acoustic Wave) resonator, capacitor C 2 other ends are electrically connected to the emitter of triode Q1 and the collector of triode Q2, inductance L 2 other ends are electrically connected to the collector of capacitor C 1 one ends and triode Q1, capacitor C 1 other end is electrically connected to output interface, the output terminal that output interface is SAW resonance detecting device, the input end of SAW (Surface Acoustic Wave) resonator is electrically connected to the first electrode slice, the earth terminal ground connection of SAW (Surface Acoustic Wave) resonator, the collector of triode Q2 is electrically connected to resistance R 2 one ends, resistance R 2 other ends are electrically connected to positive pole of stabilized voltage supply, the grounded emitter of triode Q2.1 buffer action of inductance L 1 and capacitor C, inductance L 2 and capacitor C 2 form the LC oscillatory circuit, and triode Q1 and triode Q2 play amplified current.
As preferably, described SAW (Surface Acoustic Wave) resonator comprises piezoelectric substrate, be etched with interdigital transducer on described piezoelectric substrate, the described interdigital transducer left and right sides all is etched with reflecting grating, described reflecting grating is etched with the sound absorption part away from a side of interdigital transducer, and the both sides, front and back of described reflecting grating all are etched with the gain grid.Piezoelectric substrate is ST cut type quartz.Interdigital transducer sends the centre frequency of 400MHz, cycle length M=8 μ m, interdigital width a=2.1 μ m, interdigital spacing b=1.69 μ m, finger logarithm N=100, sound aperture W=700 μ m, the aluminum strip thickness H=200nm of interdigital finger.The reflecting grating finger number N ref=200 of every side, between the reflecting grating of both sides and interdigital transducer apart from s=9.5 μ m.The width of gain grid is identical with reflecting grating, with reflecting grating apart from being 9 μ m.The gain grid can prevent that the SAW ripple from overflowing from the blank position of reflecting grating, can make so more SAW ripples be reflected back into input stage and output stage through reflecting grating, have increased the accuracy detected.
As preferably, also be provided with thermostat on described detection case, described thermostat comprises controller, temperature sensor, pilot lamp, well heater and refrigerator, described temperature sensor, well heater and refrigerator all are arranged on the detection case top, described pilot lamp is arranged on the sidewall of detection case, and described controller is electrically connected to temperature sensor, pilot lamp, well heater and refrigerator respectively.
New fresh tobacco leaf is placed between the first electrode slice and the second electrode slice, after covering radome, starts thermostat work, the temperature stabilization in radome, at 15 ℃-20 ℃, is guaranteed to the testing environment temperature stabilization of new fresh tobacco leaf.Temperature sensor is for detection of the temperature in radome, and the temperature information control heater that controller detects according to temperature sensor and refrigerator work, guarantee that the interior temperature of radome is in the scope of setting.Environment temperature in radome is in the time of 15 ℃-20 ℃, and pilot lamp sends green glow, otherwise pilot lamp sends ruddiness.
A kind of new fresh tobacco leaf water cut detection method of the present invention comprises the following steps:
S1: new fresh tobacco leaf to be measured is placed between the first electrode slice and the second electrode slice, and the first electrode slice and the second electrode slice are clamped fresh tobacco leaf, cover radome;
S2: start thermostat the environment temperature in radome is stabilized in 15 ℃ of-20 ℃ of scopes, start afterwards SAW resonance sensors work, new fresh tobacco leaf is detected;
S3: frequency measuring equipment detects the frequency of SAW resonance detecting device output voltage signal, and the output frequency response curve is to computing machine;
S4: the frequency response curve up-sampling that computing machine is receiving, adopt to obtain 110-130 sampled value, using sampled value as input data I nput (t), utilize the non-linear stochastic resonance model to calculate signal to noise ratio snr, this non-linear stochastic resonance model algorithm is as follows:
Stochastic resonance system comprises three factors: bistable system, and descriptive system feature carried out by power-actuated overdamping Brownian movement of cycle particle with one in input signal and external noise source in the bistable state potential well,
Figure BDA0000370506170000051
V ( x ) = 1 6 a x 4 - 1 4 b x 2
Wherein, V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and its auto-correlation connection function is: E[ξ (t) ξ (0)]=2D δ (t), A is input signal strength, f 0be frequency modulating signal, D is noise intensity, and a, b are all real parameters,
Signal to noise ratio (S/N ratio) is to characterize accidental resonance characteristic parameter commonly used, and signal to noise ratio (S/N ratio) is defined as:
SNR = 2 [ lim Δω → 0 ∫ Ω - Δω Ω + Δω S ( ω ) dω ] / S N ( Ω )
Wherein, S (ω) is signal spectral density, S n(Ω) be the noise intensity in signal frequency range, in the signal to noise ratio (S/N ratio) curve of stochastic resonance system output, have two signal-to-noise ratio peak, get the difference of two signal-to-noise ratio peak as eigenwert M;
S5: bring eigenwert M into water cut scale prediction formula: M=c+dWk, wherein c and d are constant, and Wk is water cut, calculate new fresh tobacco leaf water cut.
As preferably, the step that obtains of described water cut scale prediction formula is: obtain 5-10 new fresh tobacco leaf, execution step S1 is detected each new fresh tobacco leaf to step S4, obtain each new fresh tobacco leaf characteristic of correspondence value M, then adopt the weight after oven drying method detects the front weight of each fresh tobacco leaf drying and oven dry, calculate the water cut of each new fresh tobacco leaf, the water cut Wk of each new fresh tobacco leaf is associated with its eigenwert M, the water cut Wk of each new fresh tobacco leaf and eigenwert M form point (Wk, M), according to a plurality of point (Wk, M) linear fit obtains water cut scale prediction formula: M=c+dWk, wherein c and d are constant.
Essence effect of the present invention is: (1) can fast, accurately, nondestructively detect the water cut of new fresh tobacco leaf.(2) the SAW resonance detecting device frequency signal of frequency measuring equipment output is grasped noise in comprising, and by the accidental resonance analysis, grasps noise in erasure signal, makes testing result more stable, and error is less, and accuracy is higher.(3) after accidental resonance is analyzed, between the fresh tobacco sample of different in moisture content, discrimination is better, and water cut scale prediction formula fitting precision is higher.
The accompanying drawing explanation
Fig. 1 is that a kind of circuit theory of the present invention connects block diagram;
Fig. 2 is the structural representation of detection case of the present invention;
Fig. 3 is that the circuit theory of thermostat of the present invention connects block diagram;
Fig. 4 is the circuit theory diagrams of SAW resonance detecting device of the present invention;
Fig. 5 is the structural representation of SAW (Surface Acoustic Wave) resonator of the present invention;
Fig. 6 is the Linear Fit Chart of water cut scale prediction formula of the present invention;
Fig. 7 is the signal to noise ratio (S/N ratio) curve that new fresh tobacco leaf to be measured of the present invention is exported after testing afterwards.
In figure: 1, detection case, the 2, first electrode slice, the 3, second electrode slice, 4, frequency measuring equipment, 5, computing machine, 6, SAW resonance detecting device, 7, stabilized voltage supply, 8, fixed band, 9, output interface, 10, radome, 11, SAW (Surface Acoustic Wave) resonator, 111, piezoelectric substrate, 112, interdigital transducer, 113, reflecting grating, 114, the sound absorption part, 115, the gain grid, 12, controller, 13, temperature sensor, 14, pilot lamp, 15, well heater, 16, refrigerator, 17, handle.
Embodiment
Below by embodiment, and by reference to the accompanying drawings, technical scheme of the present invention is described in further detail.
Embodiment: a kind of new fresh tobacco leaf device for detecting water content of the present invention, as Fig. 1, shown in Fig. 2, comprise detection case 1, the first electrode slice 2, the second electrode slice 3, frequency measuring equipment 4 and computing machine 5, be provided with SAW resonance detecting device 6 and stabilized voltage supply 7 in detection case 1, the first electrode slice 2 is fixed on detection case 1 upper surface, the second electrode slice 3 is positioned at detection case 1 top, the both sides of the second electrode slice 3 all are provided with fixed band 8, fixed band 8 removably connects away from an end and detection case 1 top of the second electrode slice 3, the top of detection case 1 is provided with radome 10, radome 10 removably connects by buckle structure with detection case 1, the top of radome 10 is provided with handle 17, handle 17 is arch, handle 17 two ends are hinged with radome 10 respectively, the inside surface of detection case 1 is provided with metal conducting layer, stabilized voltage supply 7 is electrically connected to the power end of SAW resonance detecting device 6, two test sides of SAW resonance detecting device 6 are electrically connected to the first electrode slice 2 and the second electrode slice 3 respectively, the output terminal of SAW resonance detecting device 6 is electrically connected to the input end of frequency measuring equipment 4, the output terminal of frequency measuring equipment 4 is electrically connected to computing machine 5, frequency measuring equipment 4 is digital counter.Detection case 1 is rectangular-shaped, and radome 10 is rectangular cover, and the length of detection case 1 is 85cm, and width is 35cm, is highly 10cm, and the length of radome 10 is 85cm, and width is 35cm, is highly 8cm.
As shown in Figure 3, also be provided with thermostat on detection case 1, thermostat comprises controller 12, temperature sensor 13, pilot lamp 14, well heater 15 and refrigerator 16, temperature sensor 13, well heater 15 and refrigerator 16 all are arranged on detection case 1 top, pilot lamp 14 is arranged on the front side wall of detection case 1, and controller 12 is electrically connected to temperature sensor 13, pilot lamp 14, well heater 15 and refrigerator 16 respectively.
As shown in Figure 4, stabilized voltage supply 7 is the 12V direct supply, SAW resonance detecting device 6 comprises SAW (Surface Acoustic Wave) resonator 11, resistance R 1, resistance R 2, inductance L 1, inductance L 2, capacitor C 1, capacitor C 2, triode Q1 and triode Q2, inductance L 1 one ends are electrically connected to stabilized voltage supply 7 is anodal, inductance L 1 other end and the second electrode slice 3, resistance R 1 one ends, capacitor C 2 one ends and inductance L 2 one ends are electrically connected to, resistance R 1 other end is electrically connected to the base stage of triode Q1 and the output terminal of SAW (Surface Acoustic Wave) resonator 11, capacitor C 2 other ends are electrically connected to the emitter of triode Q1 and the collector of triode Q2, inductance L 2 other ends are electrically connected to the collector of capacitor C 1 one ends and triode Q1, capacitor C 1 other end is electrically connected to output interface 9, the output terminal that output interface 9 is SAW resonance detecting device 6, the input end of SAW (Surface Acoustic Wave) resonator 11 is electrically connected to the first electrode slice 2, the earth terminal ground connection of SAW (Surface Acoustic Wave) resonator 11, the collector of triode Q2 is electrically connected to resistance R 2 one ends, resistance R 2 other ends are electrically connected to stabilized voltage supply 7 is anodal, the grounded emitter of triode Q2.1 buffer action of inductance L 1 and capacitor C, inductance L 2 and capacitor C 2 form the LC oscillatory circuit, and triode Q1 and triode Q2 play amplified current.
During detection, new fresh tobacco leaf to be measured is placed between the first electrode slice 2 and the second electrode slice 3, the second electrode slice 3 is fixed by fixed band 8, and the first electrode slice 2 and the second electrode slice 3 are clamped fresh tobacco leaf, guarantees to detect stylish fresh tobacco leaf and fully contacts with two electrode slices.Cover radome 10, the metal conducting layer of radome 10 and detection case 1 inside surface shields extraneous radiation interference.Handle on radome 10 is convenient to taking of radome 10 and the carrying when radome 10 and detection case 1 link together.
Then, start thermostat work, the temperature stabilization in radome 10, at 15 ℃-20 ℃, is guaranteed to the testing environment temperature stabilization of new fresh tobacco leaf.Temperature sensor 13 is for detection of the temperature in radome 10, and the temperature information control heater 15 that controller 12 detects according to temperature sensor 13 and refrigerator 16 work, guarantee that the interior temperature of radome 10 is in 15 ℃ of-20 ℃ of scopes.Environment temperature in radome 10 is in 15 ℃ of-20 ℃ of scopes the time, and pilot lamp 14 sends green glow, otherwise pilot lamp 14 sends ruddiness.
After pilot lamp 14 sends green glow, start 6 pairs of fresh tobacco leaves to be measured of SAW resonance detecting device and detected.Dielectric property due to new fresh tobacco leaf, the existence of new fresh tobacco leaf causes the electric current of SAW resonant circuit to change, the new fresh tobacco leaf dielectric property difference of different moisture content, the frequency difference of the voltage signal that the new fresh tobacco leaf that SAW resonance detecting device 6 detects different moisture content is exported.Frequency measuring equipment 4 is for detection of the frequency of SAW resonance detecting device 6 output voltage signals, and the frequency response curve of output SAW resonance detecting device 6 is to computing machine 5.5 pairs of frequency response curve samplings of computing machine, obtain 120 sampled values, using sampled value as input data input non-linear stochastic resonance model, non-linear stochastic resonance model output signal-to-noise ratio curve, there are two signal-to-noise ratio peak in this signal to noise ratio (S/N ratio) curve, using the difference of two signal-to-noise ratio peak as eigenwert M, bring eigenwert M into water cut scale prediction formula: M=c+dWk, wherein c and d are constant, and Wk is water cut, calculate new fresh tobacco leaf water cut to be measured.
As shown in Figure 5, SAW (Surface Acoustic Wave) resonator 11 comprises piezoelectric substrate 111, be etched with interdigital transducer 112 on piezoelectric substrate 111, interdigital transducer 112 left and right sides all are etched with reflecting grating 113, reflecting grating 113 is etched with sound absorption part 114 away from a side of interdigital transducer 112, and the both sides, front and back of reflecting grating 113 all are etched with gain grid 115.Piezoelectric substrate 111 is ST cut type quartz.Interdigital transducer 112 sends the centre frequency of 400MHz, cycle length M=8 μ m, interdigital width a=2.1 μ m, interdigital spacing b=1.69 μ m, finger logarithm N=100, sound aperture W=700 μ m, the aluminum strip thickness H=200nm of interdigital finger.The reflecting grating 113 finger number N ref=200 of every side, between the reflecting grating 113 of both sides and interdigital transducer 112 apart from s=9.5 μ m.The width of gain grid 115 is identical with reflecting grating 113, with reflecting grating 113 apart from being 9 μ m.The gain grid can 115 to prevent that the SAW ripple from overflowing from the blank position of reflecting grating 113, can make so more SAW ripples be reflected back into input stage and output stage through reflecting gratings 113, increased the accuracy detected.
A kind of new fresh tobacco leaf water cut detection method of the present invention, be applicable to above-mentioned new fresh tobacco leaf device for detecting water content, comprises the following steps:
S1: new fresh tobacco leaf to be measured is placed between the first electrode slice 2 and the second electrode slice 3, and the first electrode slice 2 and the second electrode slice 3 are clamped fresh tobacco leaf, cover radome 10;
S2: start thermostat the environment temperature in radome 10 is stabilized in 15 ℃ of-20 ℃ of scopes, start afterwards 6 work of SAW resonance detecting device, new fresh tobacco leaf is detected;
S3: frequency measuring equipment 4 detects the frequency of SAW resonance detecting device 6 output voltage signals, and the frequency response curve of output SAW resonance detecting device 6 is to computing machine 5;
S4: the frequency response curve up-sampling that computing machine 5 is receiving, adopt to obtain 120 sampled values, using sampled value as input data I nput (t), utilize the non-linear stochastic resonance model to calculate signal to noise ratio snr, this non-linear stochastic resonance model algorithm is as follows:
Stochastic resonance system comprises three factors: bistable system, and descriptive system feature carried out by power-actuated overdamping Brownian movement of cycle particle with one in input signal and external noise source in the bistable state potential well,
Figure BDA0000370506170000111
V ( x ) = 1 6 a x 4 - 1 4 b x 2
Wherein, V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and its auto-correlation connection function is: E[ξ (t) ξ (0)]=2D δ (t), A is input signal strength, f 0be frequency modulating signal, D is noise intensity, and a, b are all real parameters,
Signal to noise ratio (S/N ratio) is to characterize accidental resonance characteristic parameter commonly used, and signal to noise ratio (S/N ratio) is defined as:
SNR = 2 [ lim Δω → 0 ∫ Ω - Δω Ω + Δω S ( ω ) dω ] / S N ( Ω )
Wherein, S (ω) is signal spectral density, S n(Ω) be the noise intensity in signal frequency range, in the signal to noise ratio (S/N ratio) curve of stochastic resonance system output, have two signal-to-noise ratio peak, get the difference of two signal-to-noise ratio peak as eigenwert M;
S5: bring eigenwert M into water cut scale prediction formula: M=-14.83571+73.92857Wk, wherein Wk is water cut, calculates new fresh tobacco leaf water cut.
Grasp noise in SAW detection frequency signal comprises, by the accidental resonance analysis, grasp noise in erasure signal, make testing result more stable, error is less, and accuracy is higher.After accidental resonance is analyzed, between the new fresh tobacco leaf of different in moisture content, discrimination is better, and water cut scale prediction formula fitting precision is higher.The difference of two signal-to-noise ratio peak that exist in the signal to noise ratio (S/N ratio) curve that accidental resonance is exported is as eigenwert M, what eigenwert M reflected is the essential information of tested fresh tobacco sample, this characteristic information is not with the restriction of detection method or multiplicity, only relevant with the character of sample, be conducive to the demarcation of properties of samples, improve accuracy of detection.SAW output frequency signal error rate exceeds several times than accidental resonance Analysis signal-to-noise ratio (SNR) error ratio.
The step that obtains of water cut scale prediction formula is: obtain in advance 7 new fresh tobacco leafs, execution step S1 is detected each new fresh tobacco leaf to step S4, obtain each new fresh tobacco leaf characteristic of correspondence value M, then adopt the weight after oven drying method detects the front weight of each fresh tobacco leaf drying and oven dry, calculate the water cut of each new fresh tobacco leaf.The water cut Wk of each new fresh tobacco leaf is associated with its eigenwert M, the water cut Wk of each new fresh tobacco leaf and eigenwert M form point (Wk, M), according to 7 point (Wk, M) draw linear fit curve as shown in Figure 6, obtain water cut scale prediction formula: M=-14.83571+73.92857Wk, fitting precision R=0.94964.
In the present embodiment, after new fresh tobacco leaf to be measured is processed to step S4 through step S1, the signal to noise ratio (S/N ratio) curve of stochastic resonance system output as shown in Figure 7, there are two signal-to-noise ratio peak in the signal to noise ratio (S/N ratio) curve, the difference that calculates two signal-to-noise ratio peak is 19.48638, eigenwert M=19.48638 substitution formula: M=-14.83571+73.92857Wk, the water cut that calculates new fresh tobacco leaf to be measured is Wk=0.46.

Claims (8)

1. a new fresh tobacco leaf device for detecting water content, it is characterized in that: comprise detection case (1), the first electrode slice (2), the second electrode slice (3), frequency measuring equipment (4) and computing machine (5), be provided with SAW resonance detecting device (6) and stabilized voltage supply (7) in described detection case (1), described the first electrode slice (2) is fixed on detection case (1) upper surface, described the second electrode slice (3) is positioned at detection case (1) top, the both sides of described the second electrode slice (3) all are provided with fixed band (8), the end of described fixed band (8) and detection case (1) top removably connect, the top of described detection case (1) is provided with radome (10), described radome (10) removably connects with detection case (1), the top of described radome (10) is provided with handle (17), the inside surface of described detection case (1) is provided with metal conducting layer, described stabilized voltage supply (7) is electrically connected to the power end of SAW resonance detecting device (6), two test sides of described SAW resonance detecting device (6) are electrically connected to the first electrode slice (2) and the second electrode slice (3) respectively, the output terminal of described SAW resonance detecting device (6) is electrically connected to the input end of frequency measuring equipment (4), the output terminal of described frequency measuring equipment (4) is electrically connected to computing machine (5).
2. a kind of new fresh tobacco leaf device for detecting water content according to claim 1, it is characterized in that: described detection case (1) is rectangular-shaped, described radome (10) is rectangular cover, the length of described detection case (1) is 80cm-100cm, width is 30m-50cm, is highly 5cm-15cm, and the length of described radome (10) is 80cm-100cm, width is 30m-50cm, is highly 5cm-10cm.
3. a kind of new fresh tobacco leaf device for detecting water content according to claim 1, it is characterized in that: described handle (17) is arch, and described handle (17) two ends are hinged with radome (10) respectively.
4. according to claim 1 or 2 or 3 described a kind of new fresh tobacco leaf device for detecting water contents, it is characterized in that: described SAW resonance detecting device (6) comprises SAW (Surface Acoustic Wave) resonator (11), resistance R 1, resistance R 2, inductance L 1, inductance L 2, capacitor C 1, capacitor C 2, triode Q1 and triode Q2, inductance L 1 one ends are electrically connected to stabilized voltage supply (7) is anodal, inductance L 1 other end and the second electrode slice (3), resistance R 1 one ends, capacitor C 2 one ends and inductance L 2 one ends are electrically connected to, resistance R 1 other end is electrically connected to the base stage of triode Q1 and the output terminal of SAW (Surface Acoustic Wave) resonator (11), capacitor C 2 other ends are electrically connected to the emitter of triode Q1 and the collector of triode Q2, inductance L 2 other ends are electrically connected to the collector of capacitor C 1 one ends and triode Q1, capacitor C 1 other end is electrically connected to output interface (9), the output terminal that output interface (9) is SAW resonance detecting device (6), the input end of SAW (Surface Acoustic Wave) resonator (11) is electrically connected to the first electrode slice (2), the earth terminal ground connection of SAW (Surface Acoustic Wave) resonator (11), the collector of triode Q2 is electrically connected to resistance R 2 one ends, resistance R 2 other ends are electrically connected to stabilized voltage supply (7) is anodal, the grounded emitter of triode Q2.
5. a kind of new fresh tobacco leaf device for detecting water content according to claim 4, it is characterized in that: described SAW (Surface Acoustic Wave) resonator (11) comprises piezoelectric substrate (111), be etched with interdigital transducer (112) on described piezoelectric substrate (111), described interdigital transducer (112) left and right sides all is etched with reflecting grating (113), described reflecting grating (113) is etched with sound absorption part (114) away from a side of interdigital transducer (112), and the both sides, front and back of described reflecting grating (113) all are etched with gain grid (115).
6. according to claim 1 or 2 or 3 described a kind of new fresh tobacco leaf device for detecting water contents, it is characterized in that: described detection case also is provided with thermostat on (1), described thermostat comprises controller (12), temperature sensor (13), pilot lamp (14), well heater (15) and refrigerator (16), described temperature sensor (13), well heater (15) and refrigerator (16) all are arranged on detection case (1) top, described pilot lamp (14) is arranged on the sidewall of detection case (1), described controller (12) respectively with temperature sensor (13), pilot lamp (14), well heater (15) and refrigerator (16) are electrically connected to.
7. a new fresh tobacco leaf water cut detection method, be applicable to, as any described a kind of new fresh tobacco leaf device for detecting water content of claim in claim 1-6, it is characterized in that, comprises the following steps:
S1: new fresh tobacco leaf to be measured is placed between the first electrode slice and the second electrode slice, and the first electrode slice and the second electrode slice are clamped fresh tobacco leaf, cover radome;
S2: start thermostat the environment temperature in radome is stabilized in 15 ℃ of-20 ℃ of scopes, start afterwards SAW resonance sensors work, new fresh tobacco leaf is detected;
S3: frequency measuring equipment detects the frequency of SAW resonance detecting device output voltage signal, and the output frequency response curve is to computing machine;
S4: the frequency response curve up-sampling that computing machine is receiving, adopt to obtain 110-130 sampled value, using sampled value as input data I nput (t), utilize the non-linear stochastic resonance model to calculate signal to noise ratio snr, this non-linear stochastic resonance model algorithm is as follows:
Stochastic resonance system comprises three factors: bistable system, and descriptive system feature carried out by power-actuated overdamping Brownian movement of cycle particle with one in input signal and external noise source in the bistable state potential well,
Figure FDA0000370506160000031
V ( x ) = 1 6 a x 4 - 1 4 b x 2
Wherein, V (x) is non-linear symmetric potential function, and ξ (t) is white Gaussian noise, and its auto-correlation connection function is: E[ξ (t) ξ (0)]=2D δ (t), A is input signal strength, f 0be frequency modulating signal, D is noise intensity, and a, b are all real parameters,
Signal to noise ratio (S/N ratio) is to characterize accidental resonance characteristic parameter commonly used, and signal to noise ratio (S/N ratio) is defined as:
SNR = 2 [ lim Δω → 0 ∫ Ω - Δω Ω + Δω S ( ω ) dω ] / S N ( Ω )
Wherein, S (ω) is signal spectral density, S n(Ω) be the noise intensity in signal frequency range, in the signal to noise ratio (S/N ratio) curve of stochastic resonance system output, have two signal-to-noise ratio peak, get the difference of two signal-to-noise ratio peak as eigenwert M;
S5: bring eigenwert M into water cut scale prediction formula: M=c+dWk, wherein c and d are constant, and Wk is water cut, calculate new fresh tobacco leaf water cut.
8. a kind of new fresh tobacco leaf water cut detection method according to claim 7, it is characterized in that, the step that obtains of described water cut scale prediction formula is: obtain the new fresh tobacco leaf of 5-10 sheet that belongs to one species with new fresh tobacco leaf to be measured, execution step S1 is detected each new fresh tobacco leaf to step S4, obtain each new fresh tobacco leaf characteristic of correspondence value M, then adopt the weight after oven drying method detects the front weight of each fresh tobacco leaf drying and oven dry, calculate the water cut of each new fresh tobacco leaf, the water cut Wk of each new fresh tobacco leaf is associated with its eigenwert M, the water cut Wk of each new fresh tobacco leaf and eigenwert M form point (Wk, M), according to a plurality of point (Wk, M) linear fit obtains water cut scale prediction formula: M=c+dWk, wherein c and d are constant.
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