CN103424440A - Device and method for online detection of water content of plant leaves - Google Patents
Device and method for online detection of water content of plant leaves Download PDFInfo
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Abstract
The invention discloses a device and a method for online detection of water content of plant leaves. The device comprises a detection box, a first electrode piece, a second electrode piece, a frequency measuring device and a computer, an SAM resonance detector and a stabilized-voltage power source are arranged in the detection box, the stabilized-voltage power source is electrically connected with a power source end of the SAM resonance detector, two detection ends of the SAM resonance detector are electrically connected with the first electrode piece and the second electrode piece respectively, an output end of the SAM resonance detector is electrically connected with an input end of the frequency measuring device, and an output end of the frequency measuring device is electrically connected with the computer. The method includes detecting a plant leaf to be detected by the SAM resonance detector, subjecting frequency of signals output by the SAM resonance detector to nonlinear random resonance processing to acquire a feature value M, and substituting the feature value into a water content proportion precasting formula to calculate to acquire the water content of the plant leaf. By the device and the method, the water content of the plant leaves can be quickly and accurately detected in an online and lossless manner.
Description
Technical field
The present invention relates to water cut detection technique field, relate in particular to a kind of plant leaf blade water cut on-line measuring device and method.
Background technology
In booth fruit trees and vegetables cultivation research, the plant leaf blade water cut is the important node of irrigation control.When in plant leaf blade, water cut reduces, if can not be irrigated in time can cause the plant insufficient water and poor growth, serious meeting is withered, affects greatly the output of crop.When if the plant leaf blade water cut raises, should postpone irrigating, in order to avoid occur that excess moisture causes plant death.
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 the plant leaf blade 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 plant leaf blade water cut detection method destructiveness, noncontinuity are arranged, and the technical matters that detection time is longer, a kind of plant leaf blade water cut on-line measuring device and method are provided, it can be fast, accurately, nondestructively detect online the water cut of plant leaf blade.
In order to address the above problem, the present invention is achieved by the following technical solutions:
A kind of plant leaf blade water cut on-line measuring device 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, 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, plant leaf blade 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 plant leaf blade, and while guaranteeing to detect, plant leaf blade fully contacts with two electrode slices.Then SAW resonance detecting device is treated the measuring plants blade and is detected.Dielectric property due to plant leaf blade, the existence of plant leaf blade causes the electric current of SAW resonant circuit to change, the plant leaf blade dielectric property difference of different moisture content, the frequency difference of the voltage signal that the plant leaf blade 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 output frequency response curve is to computing machine.Computing machine is sampled to frequency response curve, obtain 100 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 plant leaf blade water cut to be measured.
As preferably, the top of described detection case is provided with radome, and described radome and detection case removably connect, and described the first electrode slice is positioned at the centre position at detection case top, the centre position, sidewall bottom of described radome is provided with opening, and the inside surface of described detection case is provided with metal conducting layer.The metal conducting layer of the inside surface of radome and detection case plays shielding action, during online the detection, plant leaf blade is clamped by the first electrode slice and the second electrode slice, and the stem of plant leaf blade can pass from the opening part of radome, makes the plant leaf blade can be in the situation that do not taken and detected.
As preferably, the opening part of described radome is provided with baffle plate moving up and down, and described baffle plate is made by metal shield materials.Baffle plate can move up and down, and the plant leaf blade stem of being convenient to different thicknesses is passed, and guarantees the shield effectiveness of radome.
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.
Plant leaf blade is placed between the first electrode slice and the second electrode slice, after covering radome, starts thermostat work, the temperature stabilization in radome, at 21 ℃-25 ℃, is guaranteed to the testing environment temperature stabilization of plant leaf blade.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 21 ℃-25 ℃, and pilot lamp sends green glow, otherwise pilot lamp sends ruddiness.
As preferably, described detection case is rectangular-shaped, and described radome is rectangular cover, the length of described detection case is 10cm-40cm, and width is 10cm-40cm, is highly 5cm-15cm, the length of described radome is 10cm-40cm, and width is 10cm-40cm, is highly 5cm-10cm.
A kind of plant leaf blade water cut online test method of the present invention comprises the following steps:
S1: plant leaf blade 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 plant leaf blade, cover radome;
S2: start thermostat the environment temperature in radome is stabilized in 21 ℃ of-25 ℃ of scopes, start afterwards SAW resonance sensors work, plant leaf blade 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 80-100 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,
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:
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, calculates the plant leaf blade water cut.
As preferably, the step that obtains of described water cut scale prediction formula is: obtain 11-20 the plant leaf blade that belongs to one species with plant leaf blade to be measured, execution step S1 is detected each plant leaf blade to step S4, obtain each plant leaf blade characteristic of correspondence value M, then adopt oven drying method to detect the weight after each plant leaf blade is dried front weight and oven dry, calculate the water cut of each plant leaf blade, the water cut Wk of each plant leaf blade is associated with its eigenwert M, the water cut Wk of each plant leaf blade 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 be fast, accurately, nondestructively detect online the water cut of plant leaf blade.(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 plant leaf blade 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 of output after cucumber plant vanes to be measured of the present invention detects.
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, opening, 18, baffle plate.
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 plant leaf blade water cut on-line measuring device 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 top of detection case 1 is provided with radome 10, radome 10 removably connects with detection case 1, the centre position, right side wall bottom of radome 10 is provided with opening 17, opening 17 places of radome 10 are provided with baffle plate 18 moving up and down, baffle plate 18 is made by metal shield materials, the inside surface of detection case 1 is provided with metal conducting layer, the first electrode slice 2 is fixed on the centre position at detection case 1 top, 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, 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 25cm, and width is 25cm, is highly 8cm, and the length of radome is 25cm, and width is 25cm, is highly 5cm.
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, plant leaf blade 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 plant leaf blade, and while guaranteeing to detect, plant leaf blade fully contacts with two electrode slices.Cover radome 10, the stem of plant leaf blade can pass from the opening 17 of radome 10, makes the plant leaf blade can be in the situation that do not taken and detected, and baffle plate 18 can move up and down, the plant leaf blade stem of being convenient to different thicknesses is passed, and guarantees the shield effectiveness of radome 10.
Then, start thermostat work, the temperature stabilization in radome 10, at 21 ℃-25 ℃, is guaranteed to the testing environment temperature stabilization of plant leaf blade.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 21 ℃ of-25 ℃ of scopes.Environment temperature in radome 10 is in 21 ℃ of-25 ℃ of scopes the time, and pilot lamp 14 sends green glow, otherwise pilot lamp 14 sends ruddiness.
After pilot lamp 14 sends green glow, startup SAW resonance detecting device 6 is treated the measuring plants blade and is detected.Dielectric property due to plant leaf blade, the existence of plant leaf blade causes the electric current of SAW resonant circuit to change, the plant leaf blade dielectric property difference of different moisture content, the frequency difference of the voltage signal that the plant leaf blade 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 100 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 plant leaf blade 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 plant leaf blade water cut online test method of the present invention, be applicable to above-mentioned plant leaf blade water cut on-line measuring device, comprises the following steps:
S1: cucumber plant blade 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 the cucumber plant blade, cover radome 10;
S2: start thermostat the environment temperature in radome 10 is stabilized in 21 ℃ of-25 ℃ of scopes, start afterwards 6 work of SAW resonance detecting device, the cucumber plant blade 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 100 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,
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:
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=-64.66396+116.07418Wk, wherein Wk is water cut, calculates the cucumber plant leaf water content.
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 cucumber plant blade 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 cucumber plant leaf 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.Accidental resonance analytical approach favorable reproducibility, repeat 100 times and calculate, and the resultant error ratio of output is no more than 0.1%, and 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 13 cucumber plant blades, execution step S1 is detected each cucumber plant blade to step S4, obtain each plant leaf blade characteristic of correspondence value M, then adopt oven drying method to detect the weight after each cucumber plant blade is dried front weight and oven dry, calculate the water cut of each plant leaf blade.The water cut Wk of each cucumber plant blade is associated with its eigenwert M, the water cut Wk of each cucumber plant blade and eigenwert M form point (Wk, M), according to 13 point (Wk, M) draw linear fit curve as shown in Figure 6, obtain water cut scale prediction formula: M=-64.66396+116.07418Wk, fitting precision R=0.99624.
In the present embodiment, cucumber plant vanes to be measured is crossed step S1 to step S4 processing, 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 22.34657, eigenwert M=22.34657 substitution formula: M=-64.66396+116.07418Wk, the water cut that calculates cucumber plant blade to be measured is Wk=0.75.
Claims (9)
1. a plant leaf blade water cut on-line measuring device, 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, 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 plant leaf blade water cut on-line measuring device according to claim 1, it is characterized in that: the top of described detection case (1) is provided with radome (10), described radome (10) removably connects with detection case (1), described the first electrode slice (2) is positioned at the centre position at detection case (1) top, the centre position, sidewall bottom of described radome (10) is provided with opening (17), and the inside surface of described detection case (1) is provided with metal conducting layer.
3. a kind of plant leaf blade water cut on-line measuring device according to claim 2, it is characterized in that: the opening (17) of described radome (10) locates to be provided with baffle plate moving up and down (18), and described baffle plate (18) is made by metal shield materials.
4. according to claim 1 or 2 or 3 described a kind of plant leaf blade water cut on-line measuring devices, 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 plant leaf blade water cut on-line measuring device 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 the described a kind of plant leaf blade water cut on-line measuring device of claim 2 or 3, 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. according to the described a kind of plant leaf blade water cut on-line measuring device of claim 2 or 3, 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 10cm-40cm, width is 10cm-40cm, is highly 5cm-15cm, and the length of described radome (10) is 10cm-40cm, width is 10cm-40cm, is highly 5cm-10cm.
8. a plant leaf blade water cut online test method, be applicable to, as any described a kind of plant leaf blade water cut on-line measuring device of claim in claim 1-7, it is characterized in that, comprises the following steps:
S1: plant leaf blade 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 plant leaf blade, cover radome;
S2: start thermostat the environment temperature in radome is stabilized in 21 ℃ of-25 ℃ of scopes, start afterwards SAW resonance sensors work, plant leaf blade 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 80-100 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,
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:
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, calculates the plant leaf blade water cut.
9. a kind of plant leaf blade water cut online test method according to claim 8, it is characterized in that, the step that obtains of described water cut scale prediction formula is: obtain 11-20 the plant leaf blade that belongs to one species with plant leaf blade to be measured, execution step S1 is detected each plant leaf blade to step S4, obtain each plant leaf blade characteristic of correspondence value M, then adopt oven drying method to detect the weight after each plant leaf blade is dried front weight and oven dry, calculate the water cut of each plant leaf blade, the water cut Wk of each plant leaf blade is associated with its eigenwert M, the water cut Wk of each plant leaf blade 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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