CN103424525B - Milk quality detection equipment and method - Google Patents
Milk quality detection equipment and method Download PDFInfo
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- CN103424525B CN103424525B CN201310332302.4A CN201310332302A CN103424525B CN 103424525 B CN103424525 B CN 103424525B CN 201310332302 A CN201310332302 A CN 201310332302A CN 103424525 B CN103424525 B CN 103424525B
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Abstract
The invention discloses milk quality detection equipment and a milk quality detection method. The milk quality detection method comprises the following steps: firstly, selecting three types of carrier gases for detecting volatile gases produced by n types of milk samples so as to obtain n w1s related to the milk content of milk powder; secondly, constituting points (w1, E) from the w1s and the milk content E of the milk powder related to the w1s; thirdly, according to the n points (w1, E), fitting a detection model, and computing the fitting precision R; fourthly, selecting a milk quality predetection model; and finally, computing the milk powder content E of the milk K by a computer according to the milk quality predetection model, and computing the milk powder content. The milk quality detection equipment and the milk quality detection method have the characteristics of capability of quickly detecting the milk powder contents in the milk samples, and relatively high detection accuracy and higher reliability.
Description
Technical field
The present invention relates to dairy products Quality Detection field, especially relate to a kind of milk quality pick-up unit and the detection method that can detect dry milk concentration in milk quickly and accurately.
Background technology
Usual employing physical and chemical inspection method, instrumental method and principal component analysis (PCA) detect milk quality; But physical and chemical inspection method and instrumental method have the deficiencies such as length consuming time, cost are high, trivial operations, and checker generally all needs through professional training; Above-mentioned detection method is difficult to realize quick, large batch of detection, can only extract a small amount of sample and detect, several quantitative limitations of the sample of detection, causes the accuracy of detection, representative decline;
Fig. 4 is the result figure adopting principal component analysis (PCA) to analyze various milk sample.First principal component contribution rate is 87.44%, and Second principal component, contribution rate is 11.14%, and both sums are 98.58%.Along with the increase of milk powder milk mixed ratio, the Second principal component, of milk sample presents the trend of reduction, and meanwhile first principal component slightly reduces.But when milk powder milk mixed ratio reaches 60%, first principal component reduces suddenly, Second principal component, slightly rises.After this along with the increase of mixed ratio, first principal component change is little and Second principal component, continues to rise.The milk sample of milk powder milk of not adulterating is positioned at major component first quartile, and the sample that mixed ratio is 20% and 40% is mainly positioned at the second quadrant, and mixed ratio 60% and 70% is mainly positioned at third quadrant, and the milk powder milk sample of 100% then concentrates on fourth quadrant.In sum, principal component analysis (PCA) can not well distinguish each sample.
Therefore, how detecting milk quality is fast and accurately the difficult problem needing at present to solve.
Such as, Chinese patent Authorization Notice No.: CN101769889A, authorized announcement date on July 7th, 2010, disclose the electric nasus system that a kind of quality of agricultural product detects, comprise one and mainly complete gas enrichment module to low concentration odor trap, one air chamber gas path module and the sensor array mainly olfactory signal being converted into electric signal, one mainly carries out filtering to sensor array output signal, analog to digital conversion, the Conditioning Circuits of Sensor of feature extraction and data preprocessing module, a pair signal carries out identifying and judging, and with the embedded system that data store, one display and result output module, described gas enrichment module is formed by being filled with the adsorption tube of adsorbent, heating wire and attemperating unit.This invention has function singleness, the deficiency that detection time is long.
Summary of the invention
The present invention is to overcome detection method of the prior art length consuming time, deficiency that cost is high, providing the milk quality pick-up unit and detection method that can detect milk quality quickly and accurately.
To achieve these goals, the present invention is by the following technical solutions:
A kind of milk quality pick-up unit, comprises gas extractor and surveys device of air; Described gas extractor comprises gas collecting chamber, sample cavity, the lower communicating tube being located at the upper communicating pipe between gas collecting chamber and sample cavity top and being located between gas collecting chamber and sample cavity bottom; Gas collecting chamber is provided with draft tube, and draft tube is provided with the first solenoid valve, and upper communicating pipe is provided with the first air pump, and upper communicating pipe is provided with gas outlet, and gas outlet is provided with the second solenoid valve, and sample cavity is positioned at the oblique below in gas collecting chamber;
Described survey device of air comprises sampling probe, A/D converter, cleaning probe and sensor array; Sampling probe and cleaning probe are equipped with the second air pump,
Sensor array comprises several gas sensors, and each sensor lays respectively at independently in air chamber; Each sensor is electrically connected with A/D converter respectively, and the first solenoid valve, the second solenoid valve, A/D converter, the first air pump and the second air pump are equipped with the data-interface for being electrically connected with computing machine.
Gas extractor has the effect of the escaping gas enrichment sent by sample to be detected, the prolongation of cycling time can increase the concentration of the escaping gas that sample sends, and cycling time is longer, and gas concentration is larger, the detection signal of sensor can be strengthened, thus ensure that the accuracy of detection.
First the present invention chooses the escaping gas that 3 kinds of carrier gas detect the generation of n kind milk sample, obtain n the w1 be associated with dry milk concentration, w1 and dry milk concentration E associated with it is formed point (w1, E), according to n point (w1, E) detection model is simulated, and digital simulation precision R;
According to the fitting precision of the detection model of each carrier gas, judge the concentration of escaping gas, when only having a R value to be less than 0.9 in 3 kinds of carrier gas, then the concentration of this escaping gas is most suitable, can ensure the accuracy detected.And selected milk quality forecast model.
Then, choose milk K to be detected, obtain the signal to noise ratio (S/N ratio) width w1 of milk sample K
k; Computing machine utilizes milk quality forecast model to calculate the milk powder milk content E of milk K, and calculates dry milk concentration.
Milk quality detection method of the present invention with manually judge compared with method, the speed of detection is faster, and the data of detection are more objective, accurate.
As preferably, the T-shaped stirring pipe of column and lower ending opening is provided with in described sample cavity, the lower end of T-shaped stirring pipe is positioned at column, the lower end of T-shaped stirring pipe is provided with the annular edge of outside horizontal-extending, column inner peripheral surface top is provided with the bulge loop suitable with annular edge, and annular edge lower surface contacts with bulge loop upper surface;
Column upper end is provided with back-up ring, the xsect of back-up ring is in the U-shaped under shed, and back-up ring comprises interior annular ring and outer ring circle, and interior annular ring contacts with column inner peripheral surface, outer ring circle contacts with column outer peripheral face, the lower limb of interior annular ring and annular edge upper surface clearance fit; Column bottom is connected with lower communicating tube;
The outer peripheral face rear portion of T-shaped stirring pipe one end is provided with several ventholes, and the outer peripheral face front portion of the other end of T-shaped stirring pipe is provided with several ventholes.
As preferably, the circular in cross-section of described T-shaped stirring pipe, the outer peripheral face bottom of T-shaped stirring pipe is provided with several ventholes.
As preferably, described sensor array comprises 8 gas sensors, is respectively the first sensor for detecting propane and liquefied gas, for detecting the second sensor of alcohol, for detecting the four-sensor of oxides of nitrogen, for detecting the 5th sensor of oxycarbide, for detecting the 6th sensor of hydrogen, for detecting the 7th sensor of hydrocarbon gas, for detecting the 8th sensor of sulfide, for detecting liquefied gas, butane, the 3rd sensor of propane.
A detection method for milk quality pick-up unit, comprises the steps:
(5-1) milk powder is dissolved in water, obtains milk powder milk; Plain chocolate and milk powder milk are mixed according to certain ratio, obtains several mixed milk; Get a certain amount of plain chocolate, milk powder milk and mixed milk and make milk sample to be tested respectively; Milk sample to be tested is n; The sequence number of setting milk sample is i, i=1;
(5-2) successively using the air of air, activated carbon filtration and nitrogen as carrier gas, detect:
(5-2-1) the first and second solenoid valves are opened by computing machine, and carrier gas to pass in gas collecting chamber 20 to 30 minutes by draft tube;
(5-2-2) milk sample i is put into sample cavity, computing machine controls first, second closed electromagnetic valve, and starts the first air pump; The escaping gas that first air pump drives milk to produce is at upper and lower communicating pipe, gas collecting chamber and sample cavity Inner eycle 20 to 30 minutes;
(5-2-3) computing machine controls the second air pump work on cleaning probe, and pure air sucks in each air chamber by cleaning probe, cleans each sensor;
(5-2-4) the first solenoid valve is opened by computing machine, sampling probe inserts in gas collecting chamber by draft tube, computing machine controls the second air pump work on sampling probe, the escaping gas that milk produces sucks in each air chamber by sampling probe, escaping gas and the sensor contacts be located in air chamber, each sensor produces analog response signal respectively; Computing machine is averaged each analog response signal, obtains the response signal of sensor array;
(5-3) response signal of the sensor array obtained as carrier gas using the air of air, activated carbon filtration and nitrogen is handled as follows successively:
(5-3-1) response signal is converted to digital response signal eNOSE (t) by A/D converter, is stored into by eNOSE (t) in computing machine;
(5-3-2) stochastic resonance system model is provided with in advance in computing machine
Will
in input stochastic resonance system model, stochastic resonance system model is made to produce accidental resonance;
Computing machine utilizes formula
calculate output signal-to-noise ratio SNR; Wherein, A, M are constant, and t is the Brownian movement Particles Moving time, and x is the coordinate of Particles Moving, f is signal frequency, and D is external noise intensity, and N (t) grasps noise in being, Δ U is barrier height, a and b is bistable state potential well parameter, and ζ (t) is input external noise;
(5-3-3) computing machine draws the output signal-to-noise ratio spectrogram of milk sample, signal to noise ratio (S/N ratio) eigenwert is chosen in signal to noise ratio (S/N ratio)-54dB to-67dB interval, obtain the noise width w1 of described signal to noise ratio (S/N ratio) eigenwert according to signal to noise ratio (S/N ratio) spectrogram, and w1 is stored in computing machine;
(5-4) as i < n-1, make i value increase by 1, and repeat step (5-2) to (5-3);
Obtain n the w1 be associated with milk powder milk content, w1 and milk powder milk content E associated with it is formed point (w1, E), simulates detection model according to n point (w1, E), and digital simulation precision R;
(5-5) when the fitting precision R of 3 kinds of carrier gas is all greater than 0.9, then repeat step (5-2) and gather escaping gas, and after the escaping gas of 3 kinds of carrier gas is diluted in proportion, again escaping gas is passed in each air chamber, and repeat step (5-3) to (5-4);
When the R of 3 kinds of carrier gas be all less than 0.9 or the R of 2 kind of carrier gas be less than 0.9, then repeat step (5-2) and gather escaping gas, wherein, the escaping gas in step (5-2-2) increases by 8 to 15 minutes the cycling time in upper and lower communicating pipe, gas collecting chamber and sample cavity Inner eycle; And repeat step (5-3) to (5-4);
When only having a R value to be less than 0.9 in 3 kinds of carrier gas, then the detection model that computer selecting R value is maximum is as milk quality forecast model;
(5-6) choose milk K to be detected, select the carrier gas identical with milk quality forecast model, repeat step (5-2) to (5-3), obtain the signal to noise ratio (S/N ratio) width w1 of milk sample K
k;
(5-7) computing machine utilizes milk quality forecast model to calculate the milk powder milk content E of milk K, and calculates dry milk concentration.
As preferably, described milk sample to be tested is 6, comprises sample 1, sample 2, sample 3, sample 4, sample 5 and sample 6;
Sample 1 is plain chocolate; Milk powder milk in sample 2 and the volumetric ratio of plain chocolate are 1: 4; Milk powder milk in sample 3 and the volumetric ratio of plain chocolate are 2: 3; Milk powder milk in sample 4 and the volumetric ratio of plain chocolate are 3: 2; Milk powder milk in sample 5 and the volumetric ratio of plain chocolate are 4: 1; Sample 6 is milk powder milk.
As preferably, in described step (5-2-3), clean probe and pure air is sucked in air chamber, to each sensor cleaning 28 to 50 minutes.
As preferably, in described step (5-2-4), the escaping gas that milk produces sucks in each air chamber and detects 60 seconds to 80 seconds by sampling probe.
As preferably, in described step (5-2-3), pure air cleans sensor with the flow velocity of 770mL/min to 1100mL/min.
As preferably, in step (5-2-4), escaping gas sucks in each air chamber with the speed of 330mL/min to 560mL/min.
Therefore, the present invention has following beneficial effect: (1) can detect the dry milk concentration in tested milk sample fast; (2) effectively shorten sense cycle, reduce testing cost; (3) accuracy detected, reliability are higher.
Accompanying drawing explanation
Fig. 1 is a kind of process flow diagram of the present invention;
Fig. 2 is the two-dimentional signal to noise ratio (S/N ratio) spectrogram of sample 1 to sample 6 of the present invention;
Fig. 3 is the linear fit curve being carrier gas with the air of activated carbon filtration of the present invention;
Fig. 4 is the result figure adopting principal component analysis (PCA) to analyze various milk sample;
Fig. 5 is a kind of structural representation of the present invention;
Fig. 6 is a kind of theory diagram of the present invention;
Fig. 7 is a kind of structural representation of column of the present invention, back-up ring and T-shaped stirring pipe.
In figure: gas collecting chamber 1, sample cavity 2, upper communicating pipe 3, lower communicating tube 4, draft tube 5, first solenoid valve 6, second solenoid valve 7, first air pump 8, venthole 9, column 10, sampling probe 11, A/D converter 12, cleaning probe 13, sensor array 14, second air pump 15, computing machine 16, T-shaped stirring pipe 17, bulge loop 18, back-up ring 19, screw 20.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
Embodiment is as shown in Figure 5 a kind of milk quality pick-up unit, comprises gas extractor and surveys device of air; Gas extractor comprises gas collecting chamber 1, sample cavity 2, the lower communicating tube 4 being located at the upper communicating pipe 3 between gas collecting chamber and sample cavity top and being located between gas collecting chamber and sample cavity bottom; Gas collecting chamber is provided with draft tube 5, and draft tube is provided with the first solenoid valve 6, and be provided with the first air pump 8 upper communicating pipe, upper communicating pipe is provided with gas outlet, and gas outlet is provided with the second solenoid valve 7, and sample cavity is positioned at the oblique below in gas collecting chamber; The T-shaped stirring pipe 17 of column 10 and lower ending opening is provided with in sample cavity.
Described survey device of air as shown in Figure 6 comprises sampling probe 11, A/D converter 12, cleaning probe 13 and sensor array 14; Sampling probe and cleaning probe are equipped with the second air pump 15,
Sensor array comprises 8 gas sensors, and each sensor lays respectively at independently in air chamber; Each sensor is electrically connected with A/D converter respectively, and the first solenoid valve, the second solenoid valve, A/D converter, the first air pump and the second air pump are equipped with the data-interface for being electrically connected with computing machine 16.
As shown in Figure 7, the lower end of T-shaped stirring pipe is positioned at column, and the lower end of T-shaped stirring pipe is provided with the annular edge of outside horizontal-extending, and column inner peripheral surface top is provided with the bulge loop 18 suitable with annular edge, and annular edge lower surface contacts with bulge loop upper surface;
Column upper end is provided with back-up ring 19, the xsect of back-up ring is in the U-shaped under shed, and back-up ring comprises interior annular ring and outer ring circle, and interior annular ring contacts with column inner peripheral surface, outer ring circle contacts with column outer peripheral face, the lower limb of interior annular ring and annular edge upper surface clearance fit; Column bottom is connected with lower communicating tube; Back-up ring is connected with column by screw 20.Back-up ring is made up of nonrigid plastic.
The outer peripheral face rear portion of T-shaped stirring pipe one end is provided with 10 ventholes 9, and the outer peripheral face front portion of the other end of T-shaped stirring pipe is provided with 6 ventholes.
8 gas sensors are respectively the first sensor for detecting propane and liquefied gas, for detecting the second sensor of alcohol, for detecting the four-sensor of oxides of nitrogen, for detecting the 5th sensor of oxycarbide, for detecting the 6th sensor of hydrogen, for detecting the 7th sensor of hydrocarbon gas, for detecting the 8th sensor of sulfide, for detecting liquefied gas, butane, the 3rd sensor of propane.
In the present embodiment, sample cavity is provided with the first gland bonnet, and lower communicating tube is provided with leakage fluid dram, and leakage fluid dram is provided with the second gland bonnet.When needs add sample in sample cavity, open the first gland bonnet, close the second gland bonnet, sample is loaded in sample cavity; When sample changed by needs, first, second gland bonnet is all opened, sample is discharged from leakage fluid dram, then clean sample cavity with pure water, and close the second gland bonnet, new sample is joined in sample cavity.
The detection method of a kind of milk quality pick-up unit as shown in Figure 1, comprises the steps:
For overcoming the impact of different brands product, select milk and the milk powder of same brand.Erie's high-calcium low-fat milk (dairy industry Ltd of Dingzhou Erie, Baoding, Hebei province Dingzhou City Erie industrial park), protein content is 3.0g/100mL.Erie's high calcium skimmed milk power (Inner Mongolia Yili Industry Group Co., Ltd, No. 1, main road, Kingsoft, development area, Kingsoft, Inner Mongol Huhehaote City), protein content is 32.6g/100g.Water used is deionized water.
Step 100, is dissolved in 9.2g milk powder in 1000mL water, and adopting the emulsifying of KQ-500E ultrasonic machine to obtain protein content is the even milk powder milk of 3.0g/1000mL, then the concentration of milk powder milk is 9.2 grams/1000mL; N=6 in this example;
Milk and milk powder milk are mixed to get 6 groups of samples by different proportion, that is: sample 1 (100% milk), sample 2 (80% pure milk+20% milk powder milk), sample 3 (60% pure milk+40% milk powder milk), sample 4 (40% pure milk+60% milk powder milk), sample 5 (20% pure milk+80% milk powder milk), sample 6 (100% milk powder milk), the sequence number of setting milk sample is i, i=1;
Step 200, successively using the air of air, activated carbon filtration and nitrogen as carrier gas, detects:
Step 201, the first and second solenoid valves are opened by computing machine, and carrier gas to pass in gas collecting chamber 30 minutes by draft tube;
Step 202, puts into sample cavity by milk sample i, and computing machine controls first, second closed electromagnetic valve, and starts the first air pump; The escaping gas that first air pump drives milk to produce is at upper and lower communicating pipe, gas collecting chamber and sample cavity Inner eycle 20 minutes;
Step 203, computing machine controls the second air pump work on cleaning probe, and pure air sucks in each air chamber by cleaning probe, cleans each sensor;
Step 204, first solenoid valve is opened by computing machine, sampling probe inserts in gas collecting chamber by draft tube, computing machine controls the second air pump work on sampling probe, the escaping gas that milk produces sucks in each air chamber by sampling probe, escaping gas and the sensor contacts be located in air chamber, each sensor produces analog response signal respectively; Computing machine is averaged each analog response signal, obtains the response signal of sensor array;
Step 300, is handled as follows successively to the response signal of the sensor array obtained as carrier gas using the air of air, activated carbon filtration and nitrogen:
Step 301, corresponding signal is converted to digital response signal eNOSE (t) by A/D converter, is stored into by eNOSE (t) in computing machine;
Step 302, is provided with stochastic resonance system model in computing machine in advance
Will
in input stochastic resonance system model, stochastic resonance system model is made to produce accidental resonance;
Computing machine utilizes formula
calculate output signal-to-noise ratio SNR; Wherein, A, M are constant, and t is the Brownian movement Particles Moving time, and x is the coordinate of Particles Moving, f is signal frequency, and D is external noise intensity, and N (t) grasps noise in being, Δ U is barrier height, a and b is bistable state potential well parameter, and ξ (t) is input external noise;
Step 303, computing machine draws the output signal-to-noise ratio spectrogram of milk sample, chooses signal to noise ratio (S/N ratio) eigenwert, obtain the noise width w1 of described signal to noise ratio (S/N ratio) eigenwert, and be stored in computing machine by w1 according to signal to noise ratio (S/N ratio) spectrogram in signal to noise ratio (S/N ratio)-54dB to-67dB interval;
Step 400, as i < 5, makes i value increase by 1, and repeats step 200 to 300;
Obtain 6 w1 be associated with milk powder milk content, w1 and milk powder milk content E associated with it is formed point (w1, E), simulates detection model according to n point (w1, E), and digital simulation precision R;
As shown in Figure 2 with the two-dimentional signal to noise ratio (S/N ratio) spectrogram of the air of activated carbon filtration sample 1 to the sample 6 that is carrier gas, obtain 6 points (325,0), (262,20%), (251,40%), (245,60%), (208,80%), (150,100%); Simulate linear regression curves as shown in Figure 3 according to 6 points, and obtain detection model
calculate fitting precision R=0.98487;
In like manner, obtaining take air as the detection model of carrier gas
calculate fitting precision R=0.87421;
Obtain the detection model of nitrogen buffer gas
calculate fitting precision R=0.95613;
Step 500, when the fitting precision R of 3 kinds of carrier gas is all greater than 0.9, then repeat step 200 gather escaping gas, and by the escaping gas of 3 kinds of carrier gas all according to 1: 15 ratio dilute after, again escaping gas is passed in each air chamber, and repeat step 300 to 400;
When the R of 3 kinds of carrier gas be all less than 0.9 or the R of 2 kind of carrier gas be less than 0.9, then repeat step 200 and gather escaping gas, wherein, the escaping gas in step 202 increases by 15 minutes the cycling time in upper and lower communicating pipe, gas collecting chamber and sample cavity Inner eycle; And repeat step 300 to 400;
When only having a R value to be less than 0.9 in 3 kinds of carrier gas, then the detection model that computer selecting R value is maximum is as milk quality forecast model;
In the present embodiment, select
as milk quality forecast model;
Step 600, chooses the milk K that 100mL is to be detected, selects the air of activated carbon filtration as carrier gas, repeats step 200 to 300, obtains the signal to noise ratio (S/N ratio) width w1 of milk sample K
k=326.80dB;
Step 700, computing machine utilizes milk quality forecast model to calculate the milk powder milk content E of milk K, and calculates dry milk concentration.
In the present embodiment,
In the milk K milk that then 100mL is to be detected, the content of milk powder is 100mL × 57.0320% × 9.2 gram/1000mL=0.5244 gram.
Should be understood that the present embodiment is only not used in for illustration of the present invention to limit the scope of the invention.In addition should be understood that those skilled in the art can make various changes or modifications the present invention, and these equivalent form of values fall within the application's appended claims limited range equally after the content of having read the present invention's instruction.
Claims (9)
1. a milk quality pick-up unit, is characterized in that, comprises gas extractor and surveys device of air; Described gas extractor comprises gas collecting chamber (1), sample cavity (2), the lower communicating tube (4) being located at the upper communicating pipe (3) between gas collecting chamber and sample cavity top and being located between gas collecting chamber and sample cavity bottom; Gas collecting chamber is provided with draft tube (5), draft tube is provided with the first solenoid valve (6), be provided with the first air pump (8) upper communicating pipe, upper communicating pipe is provided with gas outlet, gas outlet is provided with the second solenoid valve (7), and sample cavity is positioned at the oblique below in gas collecting chamber;
Described survey device of air comprises sampling probe (11), A/D converter (12), cleaning probe (13) and sensor array (14); Sampling probe and cleaning probe are equipped with the second air pump (15),
Sensor array comprises several gas sensors, and each sensor lays respectively at independently in air chamber; Each sensor is electrically connected with A/D converter respectively, and the first solenoid valve, the second solenoid valve, A/D converter, the first air pump and the second air pump are equipped with the data-interface for being electrically connected with computing machine (16);
The T-shaped stirring pipe (17) of column (10) and lower ending opening is provided with in described sample cavity, the lower end of T-shaped stirring pipe is positioned at column, the lower end of T-shaped stirring pipe is provided with the annular edge of outside horizontal-extending, column inner peripheral surface top is provided with the bulge loop (18) suitable with annular edge, and annular edge lower surface contacts with bulge loop upper surface;
Column upper end is provided with back-up ring (19), the xsect of back-up ring is in the U-shaped under shed, and back-up ring comprises interior annular ring and outer ring circle, and interior annular ring contacts with column inner peripheral surface, outer ring circle contacts with column outer peripheral face, the lower limb of interior annular ring and annular edge upper surface clearance fit; Column bottom is connected with lower communicating tube;
The outer peripheral face rear portion of T-shaped stirring pipe one end is provided with several ventholes (9), and the outer peripheral face front portion of the other end of T-shaped stirring pipe is provided with several ventholes.
2. milk quality pick-up unit according to claim 1, is characterized in that, the circular in cross-section of described T-shaped stirring pipe, and the outer peripheral face bottom of T-shaped stirring pipe is provided with several ventholes.
3. milk quality pick-up unit according to claim 1 and 2, it is characterized in that, described sensor array comprises 8 gas sensors, be respectively the first sensor for detecting propane and liquefied gas, for detecting the second sensor of alcohol, for detecting the four-sensor of oxides of nitrogen, for detecting the 5th sensor of oxycarbide, for detecting the 6th sensor of hydrogen, for detecting the 7th sensor of hydrocarbon gas, for detecting the 8th sensor of sulfide, for detecting liquefied gas, butane, the 3rd sensor of propane.
4. be applicable to a detection method for milk quality pick-up unit according to claim 1, it is characterized in that, comprise the steps:
(4-1) milk powder is dissolved in water, obtains milk powder milk; Plain chocolate and milk powder milk are mixed according to certain ratio, obtains several mixed milk; Get a certain amount of plain chocolate, milk powder milk and mixed milk and make milk sample to be tested respectively; Milk sample to be tested is n; The sequence number of setting milk sample is i, i=1;
(4-2) successively using the air of air, activated carbon filtration and nitrogen as carrier gas, detect:
(4-2-1) the first and second solenoid valves are opened by computing machine, and carrier gas to pass in gas collecting chamber 20 to 30 minutes by draft tube;
(4-2-2) milk sample i is put into sample cavity, computing machine controls first, second closed electromagnetic valve, and starts the first air pump; The escaping gas that first air pump drives milk to produce is at upper and lower communicating pipe, gas collecting chamber and sample cavity Inner eycle 20 to 30 minutes;
(4-2-3) computing machine controls the second air pump work on cleaning probe, and pure air sucks in each air chamber by cleaning probe, cleans each sensor;
(4-2-4) the first solenoid valve is opened by computing machine, sampling probe inserts in gas collecting chamber by draft tube, computing machine controls the second air pump work on sampling probe, the escaping gas that milk produces sucks in each air chamber by sampling probe, escaping gas and the sensor contacts be located in air chamber, each sensor produces analog response signal respectively; Computing machine is averaged each analog response signal, obtains the response signal of sensor array;
(4-3) response signal of the sensor array obtained as carrier gas using the air of air, activated carbon filtration and nitrogen is handled as follows successively:
(4-3-1) response signal is converted to digital response signal eNOSE (t) by A/D converter, is stored into by eNOSE (t) in computing machine;
(4-3-2) stochastic resonance system model is provided with in advance in computing machine
Will
in input stochastic resonance system model, stochastic resonance system model is made to produce accidental resonance;
Computing machine utilizes formula
calculate output signal-to-noise ratio SNR; Wherein, A, M are constant, and t is the Brownian movement Particles Moving time, and x is the coordinate of Particles Moving, f is signal frequency, and D is external noise intensity, and N (t) grasps noise in being, Δ U is barrier height, a and b is bistable state potential well parameter, and ξ (t) is input external noise;
(4-3-3) computing machine draws the output signal-to-noise ratio spectrogram of milk sample, signal to noise ratio (S/N ratio) eigenwert is chosen in signal to noise ratio (S/N ratio)-54dB to-67dB interval, obtain the noise width w1 of described signal to noise ratio (S/N ratio) eigenwert according to signal to noise ratio (S/N ratio) spectrogram, and w1 is stored in computing machine;
(4-4) as i < n-1, make i value increase by 1, and repeat step (4-2) to (4-3);
Obtain n the w1 be associated with milk powder milk content, w1 and milk powder milk content E associated with it is formed point (w1, E), simulates detection model according to n point (w1, E), and digital simulation precision R;
(4-5) when the fitting precision R of 3 kinds of carrier gas is all greater than 0.9, then repeat step (4-2) and gather escaping gas, and after the escaping gas of 3 kinds of carrier gas is diluted in proportion, again escaping gas is passed in each air chamber, and repeat step (4-3) to (4-4);
When the R of 3 kinds of carrier gas be all less than 0.9 or the R of 2 kind of carrier gas be less than 0.9, then repeat step (4-2) and gather escaping gas, wherein, the escaping gas in step (4-2-2) increases by 8 to 15 minutes the cycling time in upper and lower communicating pipe, gas collecting chamber and sample cavity Inner eycle; And repeat step (4-3) to (4-4);
When only having a R value to be less than 0.9 in 3 kinds of carrier gas, then the detection model that computer selecting R value is maximum is as milk quality forecast model;
(4-6) choose milk K to be detected, select the carrier gas identical with milk quality forecast model, repeat step (4-2) to (4-3), obtain the signal to noise ratio (S/N ratio) width w1 of milk sample K
k;
(4-7) computing machine utilizes milk quality forecast model to calculate the milk powder milk content E of milk K, and calculates dry milk concentration.
5. the detection method of milk quality pick-up unit according to claim 4, is characterized in that, described milk sample to be tested is 6, comprises sample 1, sample 2, sample 3, sample 4, sample 5 and sample 6;
Sample 1 is plain chocolate; Milk powder milk in sample 2 and the volumetric ratio of plain chocolate are 1: 4; Milk powder milk in sample 3 and the volumetric ratio of plain chocolate are 2: 3; Milk powder milk in sample 4 and the volumetric ratio of plain chocolate are 3: 2; Milk powder milk in sample 5 and the volumetric ratio of plain chocolate are 4: 1; Sample 6 is milk powder milk.
6. the detection method of milk quality pick-up unit according to claim 4, is characterized in that, in described step (4-2-3), pure air sucked in air chamber by cleaning probe, to each sensor cleaning 28 to 50 minutes.
7. the detection method of milk quality pick-up unit according to claim 4, is characterized in that, in described step (4-2-4), the escaping gas that milk produces sucks in each air chamber and detects 60 seconds to 80 seconds by sampling probe.
8. the detection method of milk quality pick-up unit according to claim 4, is characterized in that, in described step (4-2-3), pure air cleans sensor with the flow velocity of 770mL/min to 1100mL/min.
9. the detection method of the milk quality pick-up unit according to claim 4 or 5 or 6 or 7 or 8, it is characterized in that, in step (4-2-4), escaping gas sucks in each air chamber with the speed of 330mL/min to 560mL/min.
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| CN103454389B (en) * | 2013-08-01 | 2015-03-25 | 浙江工商大学 | Milk quality detecting device and method |
| CN105021665B (en) * | 2015-02-09 | 2018-03-09 | 浙江工商大学 | Phenylthiourea concentration detection apparatus and detection method based on biological tongue |
| CN105021669B (en) * | 2015-02-09 | 2018-11-13 | 浙江工商大学 | Citric acid concentration detection device and detection method based on biological tongue |
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| CN105021667B (en) * | 2015-02-09 | 2018-08-21 | 浙江工商大学 | Citric acid concentration analytical equipment and method based on surface acoustic wave series resonator biology tongue |
| CN105092665B (en) * | 2015-02-09 | 2018-01-09 | 浙江工商大学 | A kind of propylthiouracil (PTU) solution concentration detector and method |
| CN105092666B (en) * | 2015-02-09 | 2018-05-22 | 浙江工商大学 | Quinine concentration detection apparatus and detection method based on biological tongue |
| CN105092675B (en) * | 2015-02-09 | 2018-08-10 | 浙江工商大学 | citric acid concentration detection device and detection method |
| CN105116027B (en) * | 2015-02-09 | 2018-03-09 | 浙江工商大学 | Propylthiouracil (PTU) concentration analysis device and method based on surface acoustic wave series resonator biology tongue |
| CN105021666B (en) * | 2015-02-09 | 2018-03-09 | 浙江工商大学 | A kind of cycloheximide solution concentration detector and method |
| CN105021670B (en) * | 2015-02-09 | 2018-08-07 | 浙江工商大学 | Cycloheximide concentration analysis device and method based on surface acoustic wave series resonator biology tongue |
| CN105004767B (en) * | 2015-02-09 | 2018-01-09 | 浙江工商大学 | A kind of phenylthiourea solution concentration detector and method |
| CN105116025B (en) * | 2015-02-09 | 2018-01-09 | 浙江工商大学 | A kind of quinine solution concentration detector and method |
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