CN104089988A - Household cereal quality detection device and detection method using the same - Google Patents

Abstract

The invention discloses a household cereal quality detection device and a detection method using the same. The household cereal quality detection device comprises a housing and a detection probe arranged on the housing. The detection probe is connected to a miniature air pump. A gas chamber, an operational amplifier, a data acquisition card, a memory and a microprocessor are arranged in the housing. A display screen and multiple control buttons are arranged on the housing. An output end of the operational amplifier is electrically connected to the data acquisition card. The microprocessor is electrically connected respectively to the data acquisition card, the display screen, the memory, the miniature air pump and all the control buttons. One end of the detection probe is connected to the gas chamber. The other end of the detection probe is provided with an air inlet. An insulative circuit board is arranged in the gas chamber. Gas sensitive membranes are arranged on the insulative circuit board. All the gas sensitive membranes are electrically connected respectively to an input end of the operational amplifier. The household cereal quality detection device has the advantages of good economy, small volume, simple detection and fast rate, is suitable for household usage, and can provide reliable guarantee for improvement of safety of household food materials.

Description

Household grain quality detection device and detection method

technical field

The invention relates to the technical field of food quality detection, in particular to a household grain quality detection device and detection method that can accurately detect whether household grains are spoiled and provide reliable assurance for the safety of household food materials.

Background technique

People take in cereal grains every day, and the quality of cereals is directly related to the health of people.

During the storage process of grains, due to the influence of factors such as temperature, humidity, oxygen, microorganisms and insects, it will cause adverse changes in its quality. Some changes can be found by sight and smell, while some subtle changes cannot be found by sight and smell. People can feel it only when the quality changes greatly. However, the spoiled grain food eaten before has caused harm to the human body. .

However, the usual grain quality detection device often has a complicated operation process, and the users need professional training before they can use the software supporting the device to analyze the detection data and give the analysis results. They are usually installed in factories, grain stores, warehouses, supermarkets, laboratories, etc. In places such as rooms, the price is expensive and the volume is large, so it is not suitable for home use.

If there is a detection device suitable for family detection of grains, it will provide a lot of help for improving the safety of household food materials and ensuring people's health.

Chinese patent authorization announcement number: CN101769889A, authorized announcement date July 7, 2010, discloses an electronic nose system for quality inspection of agricultural products, including a gas enrichment module that mainly completes the collection of low-concentration odors, and a main odor signal The gas chamber air circuit module and sensor array that converts electrical signals, a sensor conditioning circuit and data preprocessing module that mainly filter, analog-to-digital conversion, and feature extraction output signals from the sensor array, identify and judge a pair of signals, and bring An embedded system with data storage, a display and result output module; the gas enrichment module is composed of an adsorption tube filled with adsorbent, an electric heating wire and a temperature control device. The invention has the disadvantages of single function, long detection time and being unsuitable for household use.

Contents of the invention

The purpose of the present invention is to overcome the shortcomings of the detection device in the prior art, which are expensive, bulky and unsuitable for home use, to provide a device that can accurately detect whether the household grain is spoiled, and provide a reliable device for ensuring the safety of household ingredients. Guaranteed household grain quality testing device and testing method.

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

A household grain quality detection device, comprising a housing, a detection probe arranged on the housing, the detection probe is connected with a miniature air pump; the housing is provided with an air chamber, an operational amplifier, a data acquisition card, a memory and a microprocessor , the casing is provided with a display screen and several control buttons; the output terminal of the operational amplifier is electrically connected to the data acquisition card, and the microprocessor is electrically connected to the data acquisition card, display screen, memory, air pump and each control button; One end of the detection probe is connected to the air chamber, the other end of the detection probe is provided with an air inlet, and a filter screen is provided on the air inlet; an insulating circuit board is arranged in the air chamber, and several gas chambers are arranged on the insulating circuit board. Sensitive films, each gas sensitive film is electrically connected to the input end of the operational amplifier.

During the measurement process, the inspector holds the detection probe with one hand, closes the air inlet to the grain to be inspected, and performs selection operation on the control button with the other hand, and the grain quality inspection device starts to measure. The microprocessor calculates and analyzes the detected data, and when it is judged that the grain has been spoiled, the microprocessor controls the display to display an alarm message of the spoiled grain.

The domestic grain quality detection device of the present invention is economical, small in size, easy to carry, simple and fast in detection, suitable for family use, and can provide a reliable guarantee for improving the safety of household food materials.

Preferably, there are seven gas-sensitive films, which are respectively the first gas-sensitive film for detecting sulfide, the second gas-sensitive film for detecting hydrogen, and the third gas-sensitive film for detecting ammonia. The fourth gas sensitive membrane for detecting alcohol, toluene and xylene, the fifth gas sensitive membrane for detecting hydrocarbon gas, the sixth gas sensitive membrane for detecting methane and propane, and the sixth gas sensitive membrane for detecting nitrogen oxides The seventh gas-sensitive film.

Preferably, the gas-sensitive membrane is in the shape of a hollow spindle with openings at both ends and a length of 14 to 16 mm. The thickness of the sensitive film is 1 mm to 1.25 mm; the cavity of the gas sensitive film is provided with a heating resistance wire, and the two ends of the heating resistance wire are electrically connected to the power supply through heating pins respectively, and two detection pins are arranged on the gas sensitive film and two fixed pins connected to the insulating circuit board, and two detection pins are respectively electrically connected to the non-inverting input terminal and the inverting input terminal of the operational amplifier.

The heating resistance wire arranged in the cavity of the gas sensitive film is used for heating the gas sensitive film. The structure of the gas-sensitive film of the present invention helps to improve the gas detection accuracy. In the working state, the gas-sensitive film is heated to 300-480°C by the resistance wire. When the measured gas is carried to the surface of the sensor sensitive film, the gas molecules are It is oxidized under the action of high temperature, and the oxidation products are attached to the surface of the gas sensitive membrane, causing the change of the resistance of the gas sensitive membrane. According to the change of the resistance value, the gas concentration can be characterized. Different gas-sensitive films of the present invention are made of different materials, and each gas-sensitive film is only sensitive to a specific gas, that is, the gas-sensitive film has specificity.

Preferably, the air chamber has a width of 0.8 cm to 1.2 cm, a length of 1.6 cm to 1.9 cm, and a thickness of 0.3 cm to 0.5 cm. The advantage of the small size of the gas chamber is that it avoids the existence of turbulent flow, has high detection accuracy, and requires a small amount of air intake, which is suitable for household use.

Preferably, the USIM card is electrically connected to the radio frequency wireless transceiver; the USIM card and the radio frequency wireless transceiver are respectively electrically connected to the microprocessor.

Preferably, the operational amplifier is a UPC4570 low-noise operational patch amplifier, the data acquisition card is a low-power embedded data acquisition card based on MSP430F5438, the microprocessor is an MSP430F149 low-power embedded single-chip microcomputer, and the display screen is a touch screen.

SMD amplifier, MSP430F5438-based low-power embedded data acquisition card, MSP430F149 low-power embedded single-chip microcomputer and touch screen settings make the detection device of the present invention small in size, light in weight, easy to carry, and more suitable for home use.

A detection method of a household grain quality detection device, comprising the steps of:

(7-1) A cascaded bistable stochastic resonance system model is provided in the memory, and the cascaded bistable stochastic resonance system model includes a first-order bistable stochastic resonance system model: and the second-order bistable stochastic resonance system model with the output x(t) of the first-order bistable stochastic resonance system model as the input signal: Among them, V(x) and V(y) are nonlinear symmetric potential functions, ξ(t) is Gaussian white noise, a and b are the input signal strength, _f0 is the modulation signal frequency, D is the noise strength, is the phase, x and y are the motion displacement of the particle, and t is the time;

The memory also has a single-stage stochastic resonance system model corresponding to the grain type and a calculation formula for the signal-to-noise ratio: $\mathrm{SNR}=2\left[\underset{\mathrm{\Δ\ω}\&Right\; Arrow;0}{\lim }\underset{\mathrm{\Ω}-\mathrm{\Δ\ω}}{\overset{\mathrm{\Ω}+\mathrm{\Δ\ω}}{\∫}}S\left(\mathrm{\ω}\right)\mathrm{d\ω}\right]/S_N\left(\mathrm{\Ω}\right)$ ; Wherein ω is the signal frequency, Ω is the angular frequency, S(ω) is the signal spectral density, S _N (Ω) is the noise intensity in the signal frequency range; the microprocessor is provided with a mildew threshold corresponding to the grain type N;

(7-2) Set P as any kind of grain to be detected, put the air inlet of the detection probe close to the grain P, and the detection operator inputs the type and quality of the grain into the microprocessor through the control button, and the microprocessor controls The detection probe inhales the volatile gas emitted by the grain into the air chamber for 5 to 20 seconds. The volatile gas is in contact with each gas-sensitive film installed in the air chamber. Each gas-sensitive film generates a response signal respectively, and the microprocessor calculates each response. The average signal of the signal obtains the detection signal I(t);

(7-3) Input I(t) into the cascaded bistable stochastic resonance system model, adjust the values of a and b, so that the cascaded bistable stochastic resonance system model resonates, and the microprocessor will resonate a and b values are stored in memory;

(7-4) The microprocessor sets a set of f ₀ , and t value to get a set of parameter values x ₁ , y ₁ , and substitute a, b and x ₁ , y ₁ into the formula Calculated in Set the recovery signal of the detection signal I(t) as Input h(t) into the single-stage bistable stochastic resonance model of grain P to make the single-stage bistable stochastic resonance model resonate;

(7-5) Microprocessor utilization formula Calculate the excitation noise signal-to-noise ratio SNR, the microprocessor draws the signal-to-noise ratio spectrum of the stochastic resonance system model, selects the signal-to-noise ratio spectrum eigenvalue noise width W in the signal-to-noise ratio spectrum, and sets the signal-to-noise ratio spectrum eigenvalue The noise width W is compared with the mildew threshold N of the grain P; when |W|≥|N|, the microprocessor controls the display to display the alarm information of the grain corruption.

The household grain detection device of the present invention has small volume, small air chamber volume, limited gas flow rate of the micro air pump adopted, short detection time, and limited data length collected by the data acquisition card, usually more than 1000 data need to be collected to obtain Accurate detection results, while the data collected in the data acquisition card is only 80 to 100, and the low number of collected data will lead to a decline in detection accuracy. Therefore, the present invention adopts a unique data recovery method to perform non-destructive recovery on low-sampled data, and turns limited sampled data into unlimited data, thus ensuring the requirement of detection accuracy.

Then, input h(t) into the single-stage bistable stochastic resonance of grain P, so that the single-stage bistable stochastic resonance resonates; the microprocessor draws the signal-to-noise ratio spectrum of the stochastic resonance system model, and the Select the signal-to-noise ratio spectrum eigenvalue noise width W in the ratio spectrum, and compare the signal-to-noise ratio spectrum eigenvalue noise width W with the mildew threshold N of the grain P; when |W|≥|N|, the microprocessing The control display screen of the machine will display the alarm information of the spoilage of this kind of grain.

As preferably, it also includes the electrical connection between the USIM card and the radio frequency wireless transceiver; the USIM card and the radio frequency wireless transceiver are respectively electrically connected with the microprocessor, and also includes the following steps: when W≥N, the microprocessor from the USIM card Read the mobile phone numbers of family members pre-stored in the USIM card, send the grain detection results as SMS content to each member of the family through the RF wireless transceiver, and obtain the SMS sending receipt information, and display the SMS sending receipt information on the on the display.

Therefore, the present invention has the following beneficial effects: (1) good economy, small size, simple and rapid detection; (2) suitable for home use, and can provide a reliable guarantee for improving the safety of household ingredients.

Description of drawings

Fig. 1 is a kind of functional block diagram of the present invention;

Fig. 2 is a kind of flowchart of the embodiment of the present invention;

Fig. 3 is a kind of output SNR spectrogram of the oat that the present invention detects;

Fig. 4 is a schematic structural view of the insulating circuit board and the gas-sensitive film of the present invention.

In the figure: housing 1, detection probe 2, micro air pump 3, air chamber 4, operational amplifier 5, data acquisition card 6, memory 7, microprocessor 8, control button 9, insulating circuit board 10, gas sensitive film 11, Heating pin 12, detection pin 13, fixing pin 14, USIM card 15, radio frequency wireless transceiver 16, display screen 17.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

The embodiment shown in Figure 1 is a kind of household grain quality detection device, comprises housing 1, is located at the detection probe 2 on the housing, and detection probe is connected with miniature air pump 3; Described housing is provided with air chamber 4 , operational amplifier 5, data acquisition card 6, memory 7 and microprocessor 8, display screen 17 and measurement control button and reset control button 9 are arranged on the housing; The reset process prevents the device from crashing and malfunctioning.

The output terminal of the operational amplifier is electrically connected with the data acquisition card, and the microprocessor is electrically connected with the data acquisition card, display screen, memory, air pump and each control button respectively; one end of the detection probe is connected with the air chamber, and the other end of the detection probe is An air inlet is provided, and a filter screen is provided on the air inlet; an insulating circuit board 10 is arranged in the air chamber, and seven gas-sensitive films 11 are arranged on the insulating circuit board, and each gas-sensitive film is connected to the input terminal of the operational amplifier respectively. electrical connection.

The seven gas sensitive membranes are the first gas sensitive membrane for detecting sulfide, the second gas sensitive membrane for detecting hydrogen, the third gas sensitive membrane for detecting ammonia, and the third gas sensitive membrane for detecting alcohol, toluene, di The fourth gas-sensitive membrane for toluene, the fifth gas-sensitive membrane for detecting hydrocarbon gas, the sixth gas-sensitive membrane for detecting methane and propane, and the seventh gas-sensitive membrane for detecting nitrogen oxides.

As shown in Figure 4, the gas-sensitive membrane is in the shape of a hollow spindle with two ends opening with a length of 15 mm. The diameter of the middle part of the gas-sensitive membrane is 3.3 mm. The cavity of the gas-sensitive film is provided with a heating resistance wire, and the two ends of the heating resistance wire are electrically connected to the power supply through the heating pin 12, and the gas-sensitive film is provided with two detection pins 13 and connected to the insulating circuit board The two fixed pins 14 and the two detection pins are respectively electrically connected to the non-inverting input terminal and the inverting input terminal of the operational amplifier.

The air chamber has a width of 1 cm, a length of 1.9 cm, and a thickness of 0.4 cm. It also includes the electrical connection between the USIM card and the radio frequency wireless transceiver; the USIM card 15 and the radio frequency wireless transceiver 16 are respectively electrically connected with the microprocessor.

The operational amplifier is a UPC4570 low-noise operational patch amplifier, the data acquisition card is a low-power embedded data acquisition card based on MSP430F5438, the microprocessor is an MSP430F149 low-power embedded MCU, and the display is a touch screen.

A kind of detection method of household grain quality detection device as shown in Figure 2, comprises the following steps:

A cascaded bistable stochastic resonance system model is provided in the memory, and the cascaded bistable stochastic resonance system model includes a first-order bistable stochastic resonance system model: and the second-order bistable stochastic resonance system model with the output x(t) of the first-order bistable stochastic resonance system model as the input signal: Among them, V(x) and V(y) are nonlinear symmetric potential functions, ξ(t) is Gaussian white noise, a and b are the input signal strength, _f0 is the modulation signal frequency, D is the noise strength, is the phase, x and y are the motion displacement of the particle, and t is the time;

The memory also has a single-stage stochastic resonance system model corresponding to the grain type and a calculation formula for the signal-to-noise ratio: $\mathrm{SNR}=2\left[\underset{\mathrm{\Δ\ω}\&Right\; Arrow;0}{\lim }\underset{\mathrm{\Ω}-\mathrm{\Δ\ω}}{\overset{\mathrm{\Ω}+\mathrm{\Δ\ω}}{\∫}}S\left(\mathrm{\ω}\right)\mathrm{d\ω}\right]/S_N\left(\mathrm{\Ω}\right)$ ; Wherein ω is the signal frequency, Ω is the angular frequency, S(ω) is the signal spectral density, S _N (Ω) is the noise intensity in the signal frequency range; the microprocessor is provided with a mildew threshold corresponding to the grain type N;

In this embodiment, the mildew threshold of peanuts N=-87.5dB, the mildew threshold of buckwheat N=-79.7dB, the mildew threshold of rice N=-68.4dB, and the mildew threshold of oats N=-73.1dB;

Step 100, put the air inlet of the detection probe close to the oats, the detection operator inputs the type and quality of the grains into the microprocessor through the control button, and the microprocessor controls the detection probe to inhale the volatile gas emitted by the oats into the air chamber For 5 to 20 seconds, the volatile gas is in contact with each gas-sensitive film arranged in the gas chamber, and each gas-sensitive film generates a response signal respectively, and the microprocessor calculates the average signal of each response signal to obtain the detection signal I(t);

Step 200, input I(t) into the cascaded bistable stochastic resonance system model, adjust the values of a and b, so that the cascaded bistable stochastic resonance system model resonates, and the microprocessor will resonate when a=12 and b=6 values are stored in memory;

Step 300, the microprocessor sets a set of f ₀ =6.4, and t=4.5 value, get a set of parameter values x ₁ =0.96, y ₁ =1.42, put a=12, b=6 and x ₁ =0.96, y ₁ =1.42 into the formula Calculated in get Set the recovery signal of the detection signal I(t) as h(t)=-1.7t+t ³ , and input h(t) into the single-stage bistable stochastic resonance model of oats In , the single-stage bistable stochastic resonance model is resonated; the single-stage bistable stochastic resonance models of different grains are different;

Step 400, the microprocessor utilizes the formula Calculate the excitation noise signal-to-noise ratio SNR, the microprocessor draws the output signal-to-noise ratio spectrum diagram of the stochastic resonance system model, selects the signal-to-noise ratio spectrum eigenvalue noise width W in the output signal-to-noise ratio spectrum diagram, and converts the signal-to-noise ratio spectrum The eigenvalue noise width W is compared with the mildew threshold N of the grain P; when |W|≥|N|, the microprocessor controls the display to display the alarm information of the grain spoilage.

When |W|≥|N|, the microprocessor reads the mobile phone number of the family members pre-stored in the USIM card from the USIM card, and sends the grain detection result as a short message to each family member through a radio frequency wireless transceiver. member, and obtain the SMS sending receipt information, and display the SMS sending receipt information on the display screen.

In the present embodiment, obtain the output signal-to-noise ratio spectrogram as shown in Figure 3 of the detected oats, in Figure 3 make a straight line whose ordinate is equal to-90dB, obtain the two near peaks and valleys of the straight line and the curve The abscissa of the intersection point W ₁ =112dB and W ₂ =257dB, W=W ₂ -W ₁ =145dB.

In this embodiment, W=145dB of oats, and the mildew threshold N=-73.1dB of oats; therefore, |W|>|N| of oats, and the microprocessor controls the display to display an alarm message of oats corruption.

In this embodiment, the microprocessor reads the mobile phone numbers of the family members pre-stored in the USIM card from the USIM card, sends the detection result of oat corruption as a short message to each member of the family through a radio frequency wireless transceiver, and obtains The SMS sending receipt information is displayed on the display screen.

It should be understood that this embodiment is only used to illustrate the present invention but not to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

Claims (8)

1. A household grain quality detection device is characterized in that it comprises a housing (1), a detection probe (2) located on the housing, and the detection probe is connected with a miniature air pump (3); An air chamber (4), an operational amplifier (5), a data acquisition card (6), a memory (7) and a microprocessor (8), and a display screen (17) and several control buttons (9) are arranged on the housing; The output end of the operational amplifier is electrically connected with the data acquisition card, and the microprocessor is electrically connected with the data acquisition card, display screen, memory, air pump and each control button respectively; one end of the detection probe is connected with the air chamber, and the other end of the detection probe is An air inlet is provided on one end, and a filter screen is provided on the air inlet; an insulating circuit board (10) is arranged in the air chamber, and several gas-sensitive films (11) are arranged on the insulating circuit board, and each gas-sensitive film is respectively Electrically connected to the input terminal of the operational amplifier. 2. The household grain quality detection device according to claim 1, characterized in that there are seven gas-sensitive membranes, which are respectively the first gas-sensitive membrane for detecting sulfide and the second gas-sensitive membrane for detecting hydrogen Sensitive membrane, the third gas sensitive membrane used to detect ammonia, the fourth gas sensitive membrane used to detect alcohol, toluene, xylene, the fifth gas sensitive membrane used to detect hydrocarbon component gases, used to detect methane And the sixth gas sensitive membrane for propane, the seventh gas sensitive membrane for detecting nitrogen oxides. 3. The household grain quality detection device according to claim 1, characterized in that, the gas-sensitive membrane is in the shape of a hollow spindle with both ends open and the length is 14 to 16 mm, and the diameter of the middle part of the gas-sensitive membrane is 3.2 mm to 3.6 mm. mm, the diameter of both ends of the gas sensitive film is 1.5 to 1.6 mm, the thickness of the gas sensitive film is 1 mm to 1.25 mm; the cavity of the gas sensitive film is equipped with a heating resistance wire, and the two ends of the heating resistance wire pass through the heating pin respectively (12) is electrically connected with the power supply, and the gas sensitive film is provided with two detection pins (13) and two fixed pins (14) connected with the insulating circuit board, and the two detection pins are respectively in phase with the operational amplifier The input terminal is electrically connected to the inverting input terminal. 4 . The household grain quality detection device according to claim 1 , wherein the air chamber has a width of 0.8 cm to 1.2 cm, a length of 1.6 cm to 1.9 cm, and a thickness of 0.3 cm to 0.5 cm. 5. according to claim 1 or 2 or 3 or 4 described household grain quality detecting devices, it is characterized in that, also comprise USIM card (15) and radio frequency wireless transceiver (16) electric connection; USIM card and radio frequency wireless transceiver are respectively electrically connected to the controller. 6. according to claim 1 or 2 or 3 or 4 described household grain quality detecting devices, it is characterized in that, operational amplifier is UPC4570 low-noise operational patch amplifier, and data acquisition card is the embedded data acquisition of low power consumption based on MSP430F5438 Card, the controller is MSP430F149 low-power embedded MCU, and the display is a touch screen. 7. A detection method of the household grain quality detection device according to claim 1, characterized in that, comprising the steps of: (7-1) A cascaded bistable stochastic resonance system model is provided in the memory, and the cascaded bistable stochastic resonance system model includes a first-order bistable stochastic resonance system model: and the second-order bistable stochastic resonance system model with the output x(t) of the first-order bistable stochastic resonance system model as the input signal: Among them, V(x) and V(y) are nonlinear symmetric potential functions, ξ(t) is Gaussian white noise, a and b are the input signal strength, _f0 is the modulation signal frequency, D is the noise strength, is the phase, x and y are the motion displacement of the particle, and t is the time; The memory also has a single-stage stochastic resonance system model corresponding to the grain type and a calculation formula for the signal-to-noise ratio: $\mathrm{SNR}=2\left[\underset{\mathrm{\Δ\ω}\&Right\; Arrow;0}{\lim }\underset{\mathrm{\Ω}-\mathrm{\Δ\ω}}{\overset{\mathrm{\Ω}+\mathrm{\Δ\ω}}{\∫}}S\left(\mathrm{\ω}\right)\mathrm{d\ω}\right]/S_N\left(\mathrm{\Ω}\right)$ ; Wherein ω is the signal frequency, Ω is the angular frequency, S(ω) is the signal spectral density, S _N (Ω) is the noise intensity in the signal frequency range; the microprocessor is provided with a mildew threshold corresponding to the grain type N; (7-2) Set P as any grain to be detected, put the air inlet of the detection probe close to the grain P, and the detection operator inputs the type and quality of the grain into the microprocessor through the control button, and the microprocessor controls The detection probe inhales the volatile gas emitted by the grain into the air chamber for 5 to 20 seconds. The volatile gas is in contact with each gas-sensitive film installed in the air chamber. Each gas-sensitive film generates a response signal respectively, and the microprocessor calculates each response. The average signal of the signal obtains the detection signal I(t); (7-3) Input I(t) into the cascaded bistable stochastic resonance system model, adjust the values of a and b, so that the cascaded bistable stochastic resonance system model resonates, and the microprocessor will resonate a and b values are stored in memory; (7-4) The microprocessor sets a set of f ₀ , and t value to get a set of parameter values x ₁ , y ₁ , and substitute a, b and x ₁ , y ₁ into the formula Calculated in Set the recovery signal of the detection signal I(t) as Input h(t) into the single-stage bistable stochastic resonance model of grain P to make the single-stage bistable stochastic resonance model resonate; (7-5) Microprocessor utilization formula Calculate the excitation noise signal-to-noise ratio SNR, the microprocessor draws the signal-to-noise ratio spectrum of the stochastic resonance system model, selects the signal-to-noise ratio spectrum eigenvalue noise width W in the signal-to-noise ratio spectrum, and sets the signal-to-noise ratio spectrum eigenvalue The noise width W is compared with the mildew threshold N of the grain P; when |W|≥|N|, the microprocessor controls the display to display the alarm information of the grain corruption. 8. The detection method of the household grain quality detection device according to claim 7, said also comprising USIM card and radio frequency wireless transceiver electrically connected; USIM card and radio frequency wireless transceiver are electrically connected with microprocessor respectively, it is characterized in that , also includes the following steps: when W≥N, the microprocessor reads the mobile phone number of the family member pre-stored in the USIM card from the USIM card, and sends the grain detection result as a text message to the Each member of the family obtains the SMS sending receipt information, and displays the SMS sending receipt information on the display screen.