CN104089887A - Device and method for detecting snowflake beef - Google Patents

Abstract

The invention discloses a device and method for detecting snowflake beef. The device comprises a controller and a detection platform. The controller includes a central processing unit, a touch screen, a light source control module and a voice output module. The detection platform comprises a base, and the base is provided with a sample support plate that is connected to the base through a first support pillar. The middle part of the sample support plate is provided with a transparent window, an irradiation light source is disposed over the transparent window, and a receiver is arranged below the transparent window. The base is also equipped with a first motion mechanism driving the irradiation light source to move and a second motion mechanism driving the receiver to move. The central processing unit is in electric connection with the touch screen, the light source control module, the voice output module, the receiver, the first motion mechanism and the second motion mechanism respectively. And the light source control module is also in electric connection with the irradiation light source. The device and the method provided by the invention can rapidly, simply and accurately detect whether beef is snowflake beef.

Description

Device and method for detecting snowflake beef

technical field

The invention relates to the technical field of food detection, in particular to a device and method for detecting snowflake beef.

Background technique

High-grade beef refers to high-quality beef for making international high-end food. It requires tender and juicy muscle fibers, and a certain amount of fat between the muscles. The fat particles are small and evenly distributed in the muscle tissue, forming a marbled texture. It is commonly known as "snowflake beef". At present, snowflake beef is generally judged by human eyes, which is not accurate enough and prone to human error.

Chinese Patent Publication No. CN1603794, published on April 6, 2005, the name of the invention is a method and device for quickly detecting beef tenderness with near-infrared technology. The application discloses a method and device for quickly detecting beef tenderness with near-infrared technology. The device is composed of a near-infrared light source, a near-infrared detector, a diffuse reflection optical fiber device, a microprocessor, a display and recording device and a rotatable stage. Its shortcoming is, this detection device can not detect whether beef is snowflake beef.

Contents of the invention

The purpose of the present invention is to overcome the technical problem that the current beef detection device cannot detect whether the beef is snowflake beef, and provides a device and method for detecting snowflake beef, which can quickly, easily and accurately detect whether the beef is snowflake beef.

In order to solve the above problems, the present invention adopts the following technical solutions to achieve:

The device for detecting snowflake beef of the present invention includes a controller and a detection platform, the controller includes a central processing unit, a touch screen, a light source control module and a voice output module, the detection platform includes a base, and a sample holder is provided on the base plate, the sample holder is connected to the base through the first support column, a transparent window is provided in the middle of the sample holder, an irradiation light source is provided above the transparent window, and a receiver is provided below the transparent window. The base is also provided with a first motion mechanism that drives the light source to move and a second motion mechanism that drives the receiver to move. The central processing unit is respectively connected with the touch screen, the light source control module, the voice output module, the receiver, the first motion mechanism and the The second movement mechanism is electrically connected, and the light source control module is also electrically connected to the illumination light source.

In this technical solution, the illumination light source is a halogen lamp or a laser emitter. During detection, the beef sample to be tested is placed at the transparent window of the sample holder. The central processing unit controls the movement of the light source through the first movement mechanism, and controls the movement of the receiver through the second movement mechanism, so as to ensure that the receiver can always receive the detection light from the light source through the beef sample and the transparent window.

The controller controls the irradiation light source to rotate once at a certain irradiation angle, and stops to detect spectral data every 5 degrees of horizontal rotation. When detecting spectral data, the intensity curve of the detection light emitted by the irradiation light source first rises from 0 to the maximum value according to the sinusoidal curve, and then decreases from the maximum value to 0 according to the sinusoidal curve. The receiver detects the received transmitted light intensity and sends it to the controller, and the controller processes the detected data accordingly to determine whether the beef sample to be tested is snowflake beef.

In the present invention, the sample is irradiated with incident light with constantly changing light intensity. During the change process of increasing or decreasing intensity of incident light, the absorption of different groups to light of corresponding wavelengths is gradually increasing or decreasing. At this time, the group The absorption degree is in the process of unsaturated and saturated fading, and the transmitted light contains more detection information, so that the obtained detection signal can more accurately characterize whether the beef is snowflake beef.

Preferably, the first movement mechanism includes a lifting mechanism, a transverse link, a longitudinal link, a first drive motor and a second drive motor, the lift mechanism is arranged on the base, and one end of the transverse link is connected to the lift mechanism , the other end of the transverse connecting rod is connected with the first driving motor, the shaft of the first driving motor is vertically downward, the top of the longitudinal connecting rod is connected with the rotating shaft of the first driving motor, and the bottom end of the longitudinal connecting rod Connected to the second driving motor, the rotating shaft of the second driving motor is arranged horizontally, the illumination light source is connected to the rotating shaft of the second driving motor, the irradiation direction of the illuminating light source faces the transparent window, the lifting mechanism, the first driving motor and the The second driving motors are respectively electrically connected to the central processing unit.

The lifting mechanism can drive the horizontal connecting rod up and down, thereby driving the irradiation light source to move up and down in the vertical direction; the first driving motor can drive the longitudinal connecting rod to rotate, thereby driving the irradiation light source to rotate in the horizontal direction; the second driving motor can drive the irradiation light source to move vertically Rotate in a straight direction. The controller adjusts the position of the irradiation light source and the incident angle of the detection light through the lifting mechanism, the first driving motor and the second driving motor.

Preferably, the second movement mechanism includes a rotating mechanism arranged on the base and an arc-shaped track arranged on the top of the rotating mechanism, the receiver is arranged on the arc-shaped track, and the bottom surface of the arc-shaped track is provided with two arc-shaped grooves parallel to each other, arc-shaped racks are arranged in the arc-shaped grooves, two gears and a third drive motor for driving the gears are arranged at the bottom of the receiver, and the two gears are respectively connected with The two racks are engaged, and the two side walls of the arc track are symmetrically provided with arc-shaped limiting grooves, and the two sides of the receiver are respectively provided with limiting blocks that cooperate with the limiting grooves. The rotating mechanism and the third driving motor are respectively electrically connected to the central processing unit.

The irradiation light source is located at the arc center of the arc track, and the receiver faces the arc center of the arc track. The rotating mechanism can drive the arc track to rotate horizontally, so that the irradiation light source and the arc track are on the same plane, so as long as the receiver moves to the corresponding position on the arc track, it can receive the detection light from the irradiation light source. The third drive motor can drive the gear to rotate, so that the receiver moves on the arc track, and the limit block can limit the position of the receiver to prevent the receiver from leaving the arc track.

Preferably, the light source control module includes a function memory and a power amplifier circuit, the input end of the function memory is electrically connected to the central processing unit, the output end of the function memory is electrically connected to the input end of the power amplifier circuit, and the power amplifier circuit The output end is electrically connected with the irradiation light source. The function memory stores the function information sent by the central processing unit, and controls the illumination light source to emit detection light with different intensities through the power amplifier circuit.

Preferably, scale lines are provided on the bottom surface of the arc track, and a camera is provided at the bottom of the receiver, and the camera is electrically connected to the central processing unit. The camera collects the scale line image, and the scale value aligned with the front sight at the center of the image is the current position of the receiver.

Preferably, the lifting mechanism includes a screw rod, a support rod and a fourth drive motor for driving the screw rod to rotate, the screw rod and the support rod are vertically arranged on the base, and the end of the horizontal connecting rod connected to the lifting mechanism is provided with a sleeve The threaded sleeve on the screw rod and the casing sleeved on the support rod, the fourth drive motor is electrically connected to the central processing unit.

Preferably, the rotation mechanism includes a second support column and a fifth drive motor for driving the second support column to rotate, the second support column is arranged on the base, and the fifth drive motor is electrically connected to the central processing unit.

The method for rapid detection snowflake beef of the present invention comprises the following steps:

S1: Prepare a sliced beef sample, place the beef sample at the transparent window of the sample holder, so that the center of the beef sample is located directly below the longitudinal connecting rod;

S2: The controller controls the rotation of the irradiation light source through the second drive motor, so that the angle between the irradiation light source and the vertical direction is 20-40 degrees, and the controller adjusts the position of the receiver through the second movement mechanism, so that the receiver can receive the irradiation Detection light emitted by the light source through the beef sample and the transparent window;

S3: The controller uses the light source control module to control the light source to emit detection light with a specific light intensity to irradiate the beef sample. The detection light intensity curve first rises from 0 to the maximum value according to the sinusoidal curve, and then decreases from the maximum value to 0 according to the sinusoidal curve. The controller collects the transmission spectrum data Spec(t), and then the controller controls the longitudinal connecting rod to rotate 5 degrees through the first drive motor, so that the irradiation light source is rotated 5 degrees horizontally, and the receiver is controlled to move to the corresponding position, and the irradiation point of the irradiation light source at this time is collected. In this way, the irradiation light source is controlled to rotate horizontally for one revolution, and the spectral data is detected once every 5 degrees of horizontal rotation, so that the spectral data Spec(t) of 72 different positions are collected on the beef sample;

S4: Perform the same data processing on the collected 72 spectral data Spec(t), and calculate 72 signal-to-noise ratio characteristic values. The data processing for each spectral data Spec(t) includes the following steps:

With input signal As an input matrix, the potential function V(x)t) cooperates with the input signal to form a stochastic resonance model:

Among them, V(x,t) is the potential function, x(t) is the motion trajectory function of Brownian particles, t is the motion time, is a periodic sinusoidal signal, N(t) is internal noise, A is signal amplitude, f is signal frequency, D is external noise intensity, ξ(t) is external noise, for the phase,

Calculate the first and second derivatives of V(x,t) with respect to x, and make the equation equal to 0 to obtain a two-layer stochastic resonance model:

Set the noise intensity D=0, Spect(t)=0, N(t)=0, B=1, the calculated critical value of A is Substituting A _c into formula (1), and setting x ₀ (t)=0, sn ₀ =0, using the fourth-order Longe-Kutta algorithm to solve formula (1), we get:

${\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; -</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; +</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 0,1</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$

Undetermined coefficient:

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; ax</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; bx</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; -</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; )</span>$

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\frac{\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; +</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 7</span>}<span\; class="notranslate">\; )</span>$

Among them, x _n (t) is the nth derivative of x (t), sn _n is the value of the nth derivative of S (t) at t=0, a and b are constants set,

Calculate x ₁ (t), x ₂ (t)…x _n+1 (t), and integrate x ₁ (t), x ₂ (t)…x _n+1 (t) to get x _{(t )} 'and obtain the position x _m value of x _(t) at the moment of resonance in the double-layer stochastic resonance system composed of one-layer stochastic resonance model and two-layer stochastic resonance model, the resonance moment t1 corresponding to x _m and corresponding to t1 The noise D1, D1 is a value in D,

by formula Calculate the signal-to-noise ratio eigenvalue SNR _feature , where ΔU=a ² /4b;

S5: Compare the calculated 72 signal-to-noise ratio feature value SNR _features with the set thresholds, if the SNR _feature >-68.74, judge that the detection point corresponding to the signal-to-noise ratio feature value is a white spectral point, if the SNR _feature <- 77.49 Judging that the detection point corresponding to the characteristic value of the signal-to-noise ratio is a red spectral point;

S6: Count the number N1 of white spectral points and the number N2 of red spectral points, if and Then it is judged that the beef is snowflake beef, if and Then it is judged that the beef is not snowflake beef, otherwise jump to step S3, and retest the beef sample.

Preferably, in the step S2, the controller adjusts the position of the receiver through the second motion mechanism includes the following steps: the central processing unit determines that the receiver needs to move to the corresponding scale value on the arc track according to the direction and angle of rotation of the illumination light source , then the central processing unit controls the receiver to move in the corresponding direction, the central processing unit collects the scale line image on the bottom surface of the arc track through the camera and processes the collected image, when the front sight at the center of the image is aligned with the scale value, The central processing unit controls the receiver to stop the movement.

Preferably, the step S3 in which the controller controls the receiver to move to the corresponding position includes the following steps: the controller drives the arc track to rotate by a corresponding angle through the rotation mechanism according to the rotation angle of the longitudinal link.

The essential effect of the invention is that it can quickly, easily and accurately detect whether the beef is snowflake beef.

Description of drawings

Fig. 1 is a kind of structural representation of the present invention;

Fig. 2 is the structural representation of the second kinematic mechanism of the present invention;

Fig. 3 is the sectional view of arc track of the present invention;

Fig. 4 is a circuit principle connection block diagram of the present invention;

Fig. 5 is a light intensity curve diagram of the detection light emitted by the irradiation light source during detection.

In the figure: 1. Central processing unit, 2. Touch screen, 3. Light source control module, 4. Base, 5. Second support column, 6. Sample support plate, 7. Transparent window, 8. Irradiation light source, 9. Receiver , 10, lifting mechanism, 11, transverse connecting rod, 12, longitudinal connecting rod, 13, first driving motor, 14, second driving motor, 15, rotating mechanism, 16, arc track, 17, arc groove, 18, gear, 19, the third drive motor, 20, limit groove, 21, limit block, 22, function memory, 23, power amplifier circuit, 24, first support column, 25, screw mandrel, 26, support rod, 27, thread sleeve, 28, sleeve pipe, 29, voice output module, 30, camera.

Detailed ways

The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

Embodiment: the device for detecting snowflake beef of this embodiment, as shown in Figure 1, Figure 2, and Figure 3, includes a controller and a detection platform, and the controller includes a central processing unit 1, a touch screen 2, a light source control module 3 and a voice output Module 29, the light source control module 3 includes a function memory 22 and a power amplifier circuit 23, the detection platform includes a base 4, the base 4 is provided with a sample pallet 6, the sample pallet 6 is connected to the base 4 through the first support column 24, and the sample pallet The middle part of 6 is provided with transparent window 7, is provided with irradiation light source 8 above transparent window 7, is provided with receiver 9 below transparent window 7, is also provided with the first motion mechanism that drives irradiation light source 8 to move on base 4 and drives receiver 9 Move the second kinematic mechanism.

The first motion mechanism comprises a lift mechanism 10, a transverse link 11, a longitudinal link 12, a first drive motor 13 and a second drive motor 14, the lift mechanism 10 is arranged on the base 4, and one end of the transverse link 11 is connected with the lift mechanism 10 , the other end of the transverse connecting rod 11 is connected with the first driving motor 13, the rotating shaft of the first driving motor 13 is vertically downward, the top of the longitudinal connecting rod 12 is connected with the rotating shaft of the first driving motor 13, and the bottom end of the longitudinal connecting rod 12 Connected to the second driving motor 14, the rotating shaft of the second driving motor 14 is arranged horizontally, the illuminating light source 8 is connected to the rotating shaft of the second driving motor 14, and the illuminating direction of the illuminating light source 8 faces the transparent window 7. The second motion mechanism includes a rotating mechanism 15 arranged on the base 4 and an arc track 16 arranged on the top of the rotating mechanism 15. The receiver 9 is arranged on the arc track 16, and the bottom surface of the arc track 16 is provided with two parallel tracks. The arc-shaped groove 17 is provided with an arc-shaped rack in the arc-shaped groove 17. The bottom of the receiver 9 is provided with two gears 18 and a third drive motor 19 that drives the gear 18 to rotate. The two gears 18 are respectively Engaged with two racks, the two side walls of the arc track 16 are symmetrically provided with arc-shaped limiting grooves 20, and the two sides of the receiver 9 are respectively provided with limiting blocks 21 that cooperate with the limiting grooves 20, A scale line is arranged on the bottom surface of the arc track 16 , and the scale line is arranged along the track, and a camera 30 is set at the bottom of the receiver 9 .

As shown in Figure 4, the central processing unit 1 is respectively connected with the touch screen 2, the voice output module 29, the receiver 9, the lifting mechanism 10, the first driving motor 13, the second driving motor 14, the rotating mechanism 15, the third driving motor 19, The input ends of the camera 30 and the function memory 22 are electrically connected, the output end of the function memory 22 is electrically connected with the input end of the power amplifier circuit 23 , and the output end of the power amplifier circuit 23 is electrically connected with the illumination light source 8 .

The transparent window 7 is 1.0mm quartz glass, and the light source 8 is a halogen lamp. Lifting mechanism comprises screw mandrel 25, support rod 26 and the 4th driving motor that drives screw mandrel 25 to rotate, and screw mandrel 25 and support rod 26 are vertically arranged on the base 4, and the end that transverse link 11 links to each other with lifting mechanism 10 is provided with The threaded sleeve 27 sleeved on the screw rod 25 and the sleeve 28 sleeved on the support rod 26 , the fourth driving motor is electrically connected to the central processing unit 1 . The rotating mechanism 15 includes a second support column 5 and a fifth drive motor for driving the second support column 5 to rotate. The second support column 5 is arranged on the base 4 , and the fifth drive motor is electrically connected to the central processing unit 1 .

The lifting mechanism 10 can drive the horizontal connecting rod 11 to lift, thereby driving the irradiation light source 8 to move up and down in the vertical direction; the first driving motor 13 can drive the longitudinal connecting rod 12 to rotate, thereby driving the irradiation light source 8 to rotate in the horizontal direction; the second driving motor 14 can drive the illumination light source 8 to rotate in the vertical direction. The controller adjusts the position of the irradiation light source 8 and the incident angle of the detection light through the lifting mechanism 10 , the first drive motor 13 and the second drive motor 14 .

The irradiation light source 8 is located at the arc center of the arc track 16 , and the receiver 9 faces the arc center of the arc track 16 . The rotating mechanism 15 can drive the arc track 16 to rotate horizontally, so that the irradiation light source 8 and the arc track 16 are on the same plane, so as long as the receiver 9 moves to the corresponding position on the arc track 16, it can receive the detection signal from the irradiation light source 8 Light. The third driving motor 19 can drive the gear 18 to rotate, so that the receiver 9 moves on the arc track 16 , and the limit block 21 can limit the position of the receiver 9 to prevent the receiver 9 from leaving the arc track 16 . The function memory 22 stores the function information sent by the central processing unit 1 , and controls the illuminating light source 8 to emit detection lights of different intensities through the power amplifier circuit 23 .

During detection, the beef sample to be tested is placed on the transparent window 7 of the sample holder 6 . The central processing unit 1 controls the movement of the light source 8 through the first movement mechanism, and controls the movement of the receiver 9 through the second movement mechanism, so as to ensure that the receiver 9 can always receive the detection light emitted by the light source 8 through the beef sample and the transparent window 7 .

The controller controls the irradiation light source 8 to rotate once at a certain irradiation angle, and stops to detect spectral data once every horizontal rotation of 5 degrees. When detecting spectral data, the intensity curve of the detection light emitted by the irradiation light source 8 first rises from 0 to a maximum value according to a sinusoidal curve, and then decreases from the maximum value to 0 according to a sinusoidal curve, as shown in FIG. 5 . The receiver 9 detects the received transmitted light intensity and sends it to the controller. After the controller processes the detected data accordingly, it judges whether the beef sample to be tested is snowflake beef. The voice output module 29 broadcasts the detection result by voice.

In the present invention, the sample is irradiated with incident light with constantly changing light intensity. During the change process of increasing or decreasing intensity of incident light, the absorption of different groups to light of corresponding wavelengths is gradually increasing or decreasing. At this time, the group The absorption degree is in the process of unsaturated and saturated fading, and the transmitted light contains more detection information, so that the obtained detection signal can more accurately characterize whether the beef is snowflake beef.

The method for detecting snowflake beef of the present embodiment comprises the following steps:

S1: Prepare a beef sample with a thickness of 1mm-2mm, place the beef sample at the transparent window of the sample holder, so that the center of the beef sample is located directly below the longitudinal connecting rod;

S2: The controller controls the rotation of the irradiation light source through the second driving motor, so that the angle between the irradiation light source and the vertical direction is 25 degrees, and the controller adjusts the position of the receiver through the second movement mechanism, so that the receiver can receive The detection light passing through the beef sample and the transparent window;

S3: The controller uses the light source control module to control the light source to emit detection light with a specific light intensity to irradiate the beef sample. The detection light intensity curve first rises from 0 to the maximum value according to the sinusoidal curve, and then decreases from the maximum value to 0 according to the sinusoidal curve. The controller collects the transmission spectrum data Spec(t), and then the controller controls the longitudinal connecting rod to rotate 5 degrees through the first drive motor, so that the irradiation light source is rotated 5 degrees horizontally, and the receiver is controlled to move to the corresponding position, and the irradiation point of the irradiation light source at this time is collected. In this way, the irradiation light source is controlled to rotate horizontally for one revolution, and the spectral data is detected once every 5 degrees of horizontal rotation, so that the spectral data Spec(t) of 72 different positions are collected on the beef sample;

S4: Perform the same data processing on the collected 72 spectral data Spec(t), and calculate 72 signal-to-noise ratio characteristic values. The data processing for each spectral data Spec(t) includes the following steps:

With input signal As an input matrix,

Under adiabatic approximation conditions, assuming that the signal amplitude is extremely small (A<<1), the bistable system is driven by insufficient energy, and the Brownian motion particles are biased in one side of the potential well, and the signal period is shorter than that of some typical potential wells. The relaxation time of the internal system is much longer. At this time, the appearance of periodic driving force makes the potential function tilt, which eventually leads to the transition of Brownian motion particles from one potential well to another. Therefore, the potential function V(x,t) Synergize with the input signal into a one-layer stochastic resonance model:

Among them, V(x,t) is the potential function, x(t) is the motion trajectory function of Brownian particles, t is the motion time, is a periodic sinusoidal signal, N(t) is internal noise, A is signal amplitude, f is signal frequency, D is external noise intensity, ξ(t) is external noise, for the phase,

Calculate the first and second derivatives of V(x,t) with respect to x, and make the equation equal to 0 to obtain a two-layer stochastic resonance model:

Set the noise intensity D=0, Spect(t)=0, N(t)=0, B=1, the calculated critical value of A is In the case of A<A _c , the Brownian motion particles hover around their original positions, and cannot achieve the transition between the two potential wells, but when the particles are intervened by external noise, even if A<A _c It can also complete the transition between potential wells, which is the occurrence process of stochastic resonance. Substitute A _c into the formula (1), and set x ₀ (t)=0, sn ₀ =0, using the fourth-order Longer library The tower algorithm solves the formula (1) and obtains:

${\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; -</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; +</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 0,1</span>}<span\; class="notranslate">\; ,</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; .</span><span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 3</span>}<span\; class="notranslate">\; )</span>$

Undetermined coefficient:

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; ax</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; bx</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 5</span>}<span\; class="notranslate">\; )</span>$

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\frac{\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; -</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; )</span>$

${<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; [</span>\mathrm{<span\; class="notranslate">\; a</span>}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; b</span>}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; -</span>\frac{\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; +</span>\sqrt{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; k</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; )</span>}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; sn</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ]</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 7</span>}<span\; class="notranslate">\; )</span>$

Among them, x _n (t) is the nth derivative of x (t), sn _n is the value of the nth derivative of S (t) at t=0, a and b are constants set,

Calculate x ₁ (t), x ₂ (t)…x _n+1 (t), and integrate x ₁ (t), x ₂ (t)…x _n+1 (t) to get x _{(t )} 'and obtain the position x _m value of x _(t) at the moment of resonance in the double-layer stochastic resonance system composed of one-layer stochastic resonance model and two-layer stochastic resonance model, the resonance moment t1 corresponding to x _m and corresponding to t1 The noise D1, D1 is a value in D,

by formula Calculate the signal-to-noise ratio eigenvalue SNR _feature , where ΔU=a ² /4b;

S5: Comparing the calculated 72 signal-to-noise ratio feature value SNR _features with the set thresholds, if the SNR _feature >-68.74, it is judged that the detection point corresponding to the signal-to-noise ratio feature value is a white spectral point (fat meat), if SNR feature <-77.49 judges that the detection point corresponding to the signal-to-noise ratio feature value is a red spectral point (lean meat);

S6: Count the number N1 of white spectral points and the number N2 of red spectral points, if and Then it is judged that the beef is snowflake beef, if and Then it is judged that the beef is not snowflake beef, otherwise jump to step S3, and retest the beef sample.

In step S2, the controller adjusts the position of the receiver through the second motion mechanism, including the following steps: the central processing unit determines that the receiver needs to move to the corresponding scale value on the arc track according to the direction and angle of rotation of the illumination light source, and then the central processing unit Control the receiver to move in the corresponding direction. The central processing unit collects the scale line image on the bottom surface of the arc track through the camera and processes the collected image. When the front sight at the center of the image is aligned with the scale value, the central processing unit controls the receiver. The device stops moving.

In step S3, the controller controlling the receiver to move to the corresponding position includes the following steps: the controller drives the arc track to rotate by a corresponding angle through the rotation mechanism according to the rotation angle of the longitudinal link.

In this embodiment, count the number N1=10 of white spectral points and the number N2=62 of red spectral points, The beef sample was judged to be snowflake beef.

Claims (10)

1. a device that detects snowflakes beef, it is characterized in that: comprise controller and detection platform, described controller comprises CPU (central processing unit) (1), touch-screen (2), light source control module (3) and voice output module (29), described detection platform comprises base (4), described base (4) is provided with sample splint (6), described sample splint (6) is connected with base (4) by the first support column (24), the middle part of described sample splint (6) is provided with transparent window (7), described transparent window (7) top is provided with radiation source (8), described transparent window (7) below is provided with receiver (9), on described base (4), be also provided with and drive the first mobile motion of radiation source (8) and drive the second mobile motion of receiver (9), described CPU (central processing unit) (1) respectively with touch-screen (2), light source control module (3), voice output module (29), receiver (9), the first motion and the second motion are electrically connected to, described light source control module (3) is also electrically connected to radiation source (8).

2. the device of detection snowflakes beef according to claim 1, it is characterized in that: described the first motion comprises elevating mechanism (10), transverse link (11), longitudinal rod (12), the first drive motor (13) and the second drive motor (14), described elevating mechanism (10) is arranged on base (4), described transverse link (11) one end is connected with elevating mechanism (10), transverse link (11) other end is connected with the first drive motor (13), the rotating shaft of described the first drive motor (13) straight down, the top of described longitudinal rod (12) is connected with the rotating shaft of the first drive motor (13), the bottom of described longitudinal rod (12) is connected with the second drive motor (14), the rotating shaft of described the second drive motor (14) is horizontally disposed with, described radiation source (8) is connected with the rotating shaft of the second drive motor (14), the direction of illumination of radiation source (8) is towards transparent window (7), described elevating mechanism (10), the first drive motor (13) and the second drive motor (14) are electrically connected to CPU (central processing unit) (1) respectively.

3. the device of detection snowflakes beef according to claim 2, it is characterized in that: described the second motion comprises the rotating mechanism (15) being arranged on base (4) and the arc track (16) that is arranged on rotating mechanism (15) top, described receiver (9) is arranged on arc track (16), the bottom surface of described arc track (16) is provided with two arc grooves that are parallel to each other (17), arc groove is provided with curved tooth bar in (17), the bottom of described receiver (9) is provided with the 3rd drive motor (19) of two gears (18) and driven wheel (18) rotation, described two gears (18) mesh with two tooth bars respectively, on two sidewalls of described arc track (16), be arranged with curved stopper slot (20), the both sides of described receiver (9) are respectively equipped with the limited block (21) coordinating with stopper slot (20), described rotating mechanism (15) and the 3rd drive motor (19) are electrically connected to CPU (central processing unit) (1) respectively.

4. according to the device of the detection snowflakes beef described in claim 1 or 2 or 3, it is characterized in that: described light source control module (3) comprises function memory (22) and power amplifier (23), the input end of described function memory (22) is electrically connected to CPU (central processing unit) (1), the output terminal of described function memory (22) is electrically connected to the input end of power amplifier (23), and the output terminal of described power amplifier (23) is electrically connected to radiation source (8).

5. according to the device of the detection snowflakes beef described in claim 1 or 2 or 3, it is characterized in that: the bottom surface of described arc track (16) is provided with scale mark, the bottom of described receiver (9) is provided with camera (30), and described camera (30) is electrically connected to CPU (central processing unit) (1).

6. according to the device of the detection snowflakes beef described in claim 1 or 2 or 3, it is characterized in that: described elevating mechanism (10) comprises screw mandrel (25), support bar (26) and the 4th drive motor that drives screw mandrel (25) to rotate, screw mandrel (25) and support bar (26) are vertically arranged on base (4), one end that transverse link (11) is connected with elevating mechanism (10) is provided with the thread bush (27) being set on screw mandrel (25) and is set in the sleeve pipe (28) on support bar (26), and the 4th drive motor is electrically connected to CPU (central processing unit) (1).

7. according to the device of the detection snowflakes beef described in claim 1 or 2 or 3, it is characterized in that: described rotating mechanism (15) comprises the second support column (5) and the 5th drive motor that drives the second support column (5) to rotate, it is upper that the second support column (5) is arranged on base (4), and the 5th drive motor is electrically connected to CPU (central processing unit) (1).

8. a method that detects snowflakes beef, is characterized in that, comprises the following steps:

S1: preparation sheet beef sample, beef sample is placed on to the transparent window place of sample splint, make beef sample be centered close to longitudinal rod under;

S2: controller is controlled radiation source by the second drive motor and rotated, the angle that makes radiation source and vertical direction is 20-40 degree, controller is adjusted the position of receiver by the second motion, make receiver can receive the detection light through beef sample and transparent window that radiation source sends;

S3: controller is controlled detection irradiation that radiation source sends certain light intensity on beef sample by light source control module, detect light intensity and first from 0, according to sinusoidal curve, rise to maximal value, then from maximal value, according to sinusoidal curve, drop to 0, controller acquisition of transmission spectroscopic data Spect (t), then controller is controlled longitudinal rod by the first drive motor and is rotated 5 degree, make radiation source horizontally rotate 5 degree, control receiver and move to correspondence position, gather the now spectroscopic data of radiation source point of irradiation, so controlling radiation source horizontal rotary circles, often horizontally rotating 5 degree stops and detects a spectroscopic data, thereby on beef sample, gather the spectroscopic data Spect (t) of 72 diverse locations,

S4: 72 the spectroscopic data Spect (t) that collect are all carried out to same data processing, calculate 72 signal to noise ratio (S/N ratio) eigenwerts, the data processing that each spectroscopic data Spect (t) is carried out comprises the following steps:

Adopt input signal as input matrix, potential function V (x, t) works in coordination with as one deck accidental resonance model with input signal:

Wherein, V (x, t) is potential function, and x (t) is Brownian Particles movement locus function, and t is run duration, for periodicity sinusoidal signal, N (t) grasps noise in being, A is signal amplitude, and f is signal frequency, and D is external noise intensity, and ξ (t) is external noise, for phase place,

Calculate V (x, t) for first order derivative and the second derivative of x, and make equation equal 0, obtain two layers of accidental resonance model:

Set noise intensity D=0, spect (t)=0, N (t)=0, B=1, the critical value that calculates A is by A _cin substitution formula (1), and set x ₀(t)=0, sn ₀=0, adopt quadravalence jade for asking rain Ge Kuta Algorithm for Solving formula (1), obtain:

$x_{n+1}\left(t\right)=x_n\left(t\right)+1/6[{\left(k_1\right)}_n+(2-\sqrt{2}){\left(k_2\right)}_n+(2+\sqrt{2}){\left(k_3\right)}_n+{\left(k_4\right)}_n],n=\mathrm{0,1},...,n-1---\left(3\right)$

Undetermined coefficient:

${\left(k_1\right)}_n=4({\mathrm{ax}}_{n-1}\left(t\right)-{\mathrm{bx}}_{n-1}^3\left(t\right)+{\mathrm{sn}}_{n-1})---\left(4\right)$

${\left(k_2\right)}_n=4[a(x_{n-1}\left(t\right)+\frac{{\left(k_1\right)}_{n-1}}{2})-b{(x_{n-1}\left(t\right)+\frac{{\left(k_1\right)}_{n-1}}{2})}^3+{\mathrm{sn}}_{n-1}]---\left(5\right)$

${\left(k_3\right)}_n=4[a(x_{n-1}\left(t\right)+\frac{{\left(k_2\right)}_{n-1}}{2})-b{(x_{n-1}\left(t\right)+\frac{\sqrt{2}-1}{2}{\left(k_1\right)}_{n-1}+\frac{2-\sqrt{2}}{2}{\left(k_1\right)}_{n-1})}^3+{\mathrm{sn}}_{n+1}]---\left(6\right)$

${\left(k_4\right)}_n=4[a(x_{n-1}\left(t\right)+{\left(k_3\right)}_{n-1})-b{(x_{n-1}\left(t\right)-\frac{\sqrt{2}}{2}{\left(k_2\right)}_{n-1}+\frac{2+\sqrt{2}}{2}{\left(k_3\right)}_{n-1})}^3+{\mathrm{sn}}_{n+1}]---\left(7\right)$

Wherein, x _n(t) be the n order derivative of x (t), sn _nbe the n order derivative of S (t) in the value at t=0 place, a, the b constant for setting,

Calculate x ₁(t), x ₂(t) ... x _n+1(t) value, to x ₁(t), x ₂(t) ... x _n+1(t) carry out integration and obtain x _(t)' and obtain x _(t)double-deck stochastic resonance system at one deck accidental resonance model and two layers of accidental resonance model composition produces resonance position x constantly _mvalue and x _mcorresponding resonance is t1 and the noise D1 corresponding with t1 constantly, and D1 is a value in D,

Pass through formula calculate signal to noise ratio (S/N ratio) eigenwert SNR _feature, wherein, Δ U=a ²/ 4b;

S5: by 72 signal to noise ratio (S/N ratio) eigenwert SNR that calculate _featurerespectively with the threshold value comparison of setting, if SNR _feature>-68.74 judges that check point corresponding to this signal to noise ratio (S/N ratio) eigenwert is white spectrum point, if SNR _feature<-77.49 judges that check point corresponding to this signal to noise ratio (S/N ratio) eigenwert is red spectrum point;

S6: add up the number N1 of white spectrum point and the number N2 of red spectrum point, if and judge that this beef is snowflakes beef, if and judge that this beef is not snowflakes beef, otherwise jump to step S3, beef sample is re-started to detection.

9. the method for detection snowflakes beef according to claim 8, it is characterized in that, the position that described step S2 middle controller is adjusted receiver by the second motion comprises the following steps: direction and angle that CPU (central processing unit) is rotated according to radiation source determine that receiver need to move to the corresponding scale value place on arc track, then central processing unit controls receiver moves towards correspondence direction, CPU (central processing unit) is by the scale mark image on camera collection arc track bottom surface and the image collecting is processed, when the foresight at picture centre place is aimed at this scale value, the stop motion of central processing unit controls receiver.

10. the method for detection snowflakes beef according to claim 8 or claim 9, it is characterized in that, described step S3 middle controller control receiver moves to correspondence position and comprises the following steps: controller drives arc track to rotate respective angles according to the rotational angle of longitudinal rod by rotating mechanism.