CN112097908A - Fruit internal quality detection sensor matched with smart phone and method thereof - Google Patents
Fruit internal quality detection sensor matched with smart phone and method thereof Download PDFInfo
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- 238000001514 detection method Methods 0.000 title claims abstract description 96
- 235000013399 edible fruits Nutrition 0.000 title claims abstract description 49
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- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000000087 stabilizing effect Effects 0.000 claims description 3
- RFSUNEUAIZKAJO-ARQDHWQXSA-N Fructose Chemical compound OC[C@H]1O[C@](O)(CO)[C@@H](O)[C@@H]1O RFSUNEUAIZKAJO-ARQDHWQXSA-N 0.000 claims description 2
- 229930091371 Fructose Natural products 0.000 claims description 2
- 229960002737 fructose Drugs 0.000 claims description 2
- 238000005265 energy consumption Methods 0.000 abstract description 4
- 235000012055 fruits and vegetables Nutrition 0.000 abstract description 2
- 238000012360 testing method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
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- 230000005284 excitation Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/44—Raman spectrometry; Scattering spectrometry ; Fluorescence spectrometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0264—Electrical interface; User interface
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0272—Handheld
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/10—Arrangements of light sources specially adapted for spectrometry or colorimetry
- G01J3/108—Arrangements of light sources specially adapted for spectrometry or colorimetry for measurement in the infrared range
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
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Abstract
The invention discloses a fruit internal quality detection sensor matched with a smart phone and a method thereof, belonging to the technical field of fruit and vegetable detection; the sensor for detecting the internal quality of the fruit comprises a micro spectral sensor module, a Bluetooth module, a light source module, a central control module and a power supply module; the central control module is respectively connected with the micro spectral sensor module, the Bluetooth module and the light source module; the Bluetooth module is connected with the smart phone and the cloud database in series; the micro spectral sensor module is a multiband photoelectric sensor capable of sensing simultaneously, and a darkroom environment is constructed by the annular sleeve, so that only backward scattered light signals are acquired. The Bluetooth module uploads the collected information to the mobile phone application program. Through the butt joint of the mobile phone APP and the cloud database, the internal quality prediction value under the measured spectrum can be calculated by using the standard physicochemical value preloaded by the cloud database and the spectrum matrix prediction model. The invention has small volume, low energy consumption, low cost, high detection speed and convenient use.
Description
Technical Field
The invention belongs to the technical field of fruit and vegetable detection, and particularly relates to a fruit internal quality detection sensor matched with a smart phone and a method thereof, in particular to portable fruit internal quality detection equipment and a method thereof.
Background
In daily life of people, the demand of people for fruits is continuously improved, but the quality of the fruits is uneven, and how to select the fruits meeting the taste of people is very important according to different preferences of each person on the acidity and the sugar content of the fruits.
At present, a laboratory near-infrared spectrometer is generally applied as a detection instrument to detect the internal quality of fruits, and although the instrument has high precision and good stability, the instrument is expensive, large in size, not easy to carry, and difficult to realize the civilization and portability of fruit detection.
Disclosure of Invention
The invention provides a fruit internal quality detection sensor matched with a smart phone and a method thereof, which are characterized in that the fruit internal quality detection sensor is totally divided into a detection probe and a power supply part, and comprises a micro spectrum sensor module, a Bluetooth module, a light source module, a central control module and a power supply module; the central control module is respectively connected with the micro spectral sensor module, the Bluetooth module and the light source module; the Bluetooth module is connected with the smart phone and the cloud database in series; the power supply module is respectively connected with the micro spectral sensor module, the Bluetooth module, the light source module and the central control module; the light source module comprises four light-intensity-adjustable light-emitting diodes which can be controlled by a central control module in a PWM mode, and a brightness adjusting instruction of the light source module is issued by a mobile phone APP; the four light-emitting diodes with adjustable light intensity are 4 light-emitting diodes with corresponding characteristic wavelengths selected according to different quality parameters of fruits to be detected.
The micro spectral sensor module is a multiband photoelectric sensor capable of sensing simultaneously, and a darkroom environment is constructed by an annular sleeve of the detection probe 206 to ensure that only backward scattered light signals are collected; the micro spectral sensor module 201 is mounted within a long annular sleeve 212: the light source module 203 consists of 4 light emitting diodes and is installed in the detection probe 206, and the small annular sleeve 211 is arranged at the bottom in the detection probe 206 and surrounds the long annular sleeve 212; the detection probe 206 is connected with the power supply module 205 through a power button 208; the surface of the detection probe 206 is fixed with a Bluetooth module 302, a central control module 304 and a control constant current driving chip 307, and a protection board 209 is fixed outside the three; the power supply module 205 is internally provided with a lithium battery and externally connected with a USB interface 501, and the USB interface 501 is connected with the detection probe 206; the micro spectral sensor module 201 is coupled with an optical filter for collecting multi-band optical signals, and is in circuit connection with the central control module 304, and the optical signals are converted into digital signals by the AD chip of the central control module 304 for subsequent processing.
The Bluetooth module is low-power consumption equipment, the size of the Bluetooth module is smaller and is not more than 20 x 2mm, data collected by the micro spectrum sensor module are uploaded to a mobile phone application program, and then data processing is carried out by the mobile phone.
The central control module is used for controlling the acquisition of sensor signals, the sending and receiving of data and the brightness adjustment of the light emitting diodes.
The power supply module integrally encapsulates the lithium battery and the boosting and voltage stabilizing module, is externally connected with a USB plug, and realizes the function of stably supplying power to other modules by clamping the power supply module on a mobile phone shell.
The micro spectral sensor couples an optical filter with the central wavelength as the characteristic wavelength of the micro spectral sensor to the sensor according to the characteristic wavelengths corresponding to the sugar degree chemical bonds of the fruits, and separates the spectrum into a plurality of different wavelengths through the action of the optical filter, so that multi-wavelength simultaneous detection can be carried out.
The light source module is 4 light emitting diodes with peak wavelengths of 880nm, 940nm, 980nm and 1060nm, the half-wave bandwidths are respectively 30nm, 45nm, 30nm and 40nm, and the selection of the peak wavelengths is related to the specific wavelength of the chemical bond of the sugar degree of the fruit; the brightness output of the light source module can be controlled by the central control module to output the brightness of the light emitting diode driven by the PWM control constant current source.
The distribution mode of the light emitting diodes is as follows: the micro spectrum sensors are used as central axes, the micro spectrum sensors are symmetrically distributed on two sides of each micro spectrum sensor in pairs, and the angle distance between two light emitting diodes on one side is not more than 60 degrees at most in consideration of the space coordination layout of the light emitting diodes and the central control module; the light emitting diode is surrounded by the small annular sleeve and is fixed with the sleeve in a clearance fit mode, and the sleeve serves as a light gathering cup and is used for gathering the axial irradiation intensity of the light emitting diode.
The central control module is a singlechip with 51, ARM, PIC or AVR as an inner core, and integrates a data acquisition device and a data transmission device.
The power supply module integrally packages the lithium battery and the boosting and voltage stabilizing module, is externally connected with a USB plug, provides stable power supply for the whole device, and can be used for circularly charging; the clamping part is designed by packaging outside, and can be clamped on the mobile phone shell for convenient use.
The utility model provides a fruit sugar degree detection method with inside quality detection sensor of fruit that smart mobile phone matches which characterized in that includes:
step 1, firstly, connecting a detection probe with a power supply part through a USB (universal serial bus) for supplying power, and then clamping the detection probe on a mobile phone;
step 2, pressing a power button, enabling a detection probe to be close to the fruit, enabling the mobile phone to be communicated with the central control module through the Bluetooth module, and enabling the central control module to control the micro spectrum sensor to collect the spectrum;
step 3, the central control module controls the Bluetooth module to send the spectrum data to the mobile phone, the mobile phone APP is in butt joint with the cloud database, and the standard physicochemical value preloaded by the cloud database and the spectrum matrix prediction model are used for calculating the predicted value of the internal quality of the fruit under the measured spectrum and sending the predicted value to the mobile phone APP main interface;
step 4, obtaining three different sugar degree predicted values of the equator position of each fruit through measurement, and averaging on a mobile phone APP to improve the accuracy of a detection result;
the invention has the advantages that according to the characteristic wavelength required by detecting the internal quality of the fruit, the excitation light source selects the light emitting diode based on the characteristic wavelength, thereby reducing the acquired spectral data, simplifying the prediction model and accelerating the detection and analysis speed. Compared with the traditional detection equipment, the detection equipment provided by the invention has great advantages in product volume, product cost, use convenience, energy consumption and detection speed, and has the following characteristics:
1. the micro spectrum sensor is used as a collection tool of spectrum information, a spectrometer used by the traditional detection equipment is replaced, and compared with the traditional detection equipment, the cost of core elements of the detection equipment is greatly reduced, and the volume of the detection equipment is greatly reduced, so that the detection equipment is easy to carry and convenient to operate.
2. By matching with the smart phone and utilizing the computing capability of the cloud database for rapid real-time analysis, the detection equipment does not need an external display screen, the power consumption of the detection equipment is reduced, the calculation result is sent and displayed on the mobile phone APP in real time, and the operation and use are simple; the convenience of the mobile phone is utilized, the operation process is more humanized, the equipment cost is reduced, and the detection speed is increased.
3. The design of the light source module selects the light emitting diode with small volume, long service life and low energy consumption, compared with the traditional detection equipment, the heat productivity is very small, and the heat dissipation condition is not generally considered; and the light emitting diode can emit monochromatic light, the spectral domain is wide +/-20 nm, and the light intensity and the wavelength are selected and are easy to combine and regulate.
4. The detection method of the detection device is diffuse reflection detection, light sources symmetrically distributed on two sides of the miniature spectral sensor penetrate into a detection object, internal quality of a sample can be well reflected by collecting backscattered light, and meanwhile, a rapid nondestructive detection method is realized.
Drawings
Fig. 1 is a schematic view of the overall structure of the detection apparatus.
Fig. 2 is a schematic front view of the detecting device.
Fig. 3 is a back structure diagram of the detection device.
Detailed Description
The invention provides a fruit internal quality detection sensor matched with a smart phone and a method thereof, in particular to fruit internal quality detection equipment based on the smart phone and a method thereof, and the invention is further explained by combining the attached drawings.
The overall structure schematic diagram of the detection device shown in fig. 1 mainly includes: the smart phone comprises a micro spectral sensor module 201, a Bluetooth module 302, a light source module 203, a central control module 304, a power supply module 205 and a smart phone 401. The central control module 304 is respectively connected with the micro spectral sensor module 201, the Bluetooth module 302 and the light source module 203; the Bluetooth module 302 is connected with the smart phone 401 and the cloud database in series; the power supply module 205 is respectively connected with the micro spectral sensor module 201, the Bluetooth module 302, the light source module 203 and the central control module 304;
FIG. 2 is a schematic front view of the detecting device; the micro-spectral sensor module 201 is shown mounted within a long annular sleeve 212: the light source module 203 consists of 4 light emitting diodes, is arranged in the detection probe 206, and each light emitting diode is fixed in the small annular sleeve 211; around the long annulus 212 at the bottom of the test probe 206; the detection probe 206 is connected with the power supply module 205 through a power button 208; the smart phone 401 is inserted into the power supply module card slot, the micro spectral sensor module 201 is coupled with the optical filter and used for collecting multi-band optical signals, the micro spectral sensor module 201 is in circuit connection with the central control module 304, and the optical signals are converted into digital signals by the AD chip of the central control module 304 for subsequent processing.
The light source module 203 consists of 4 light emitting diodes, the light emitting diodes are fixed in the small annular sleeve 211 and act as a light gathering cup to gather the axial irradiation intensity of the light emitting diodes; meanwhile, a constant current driving chip 307 of a light emitting diode is fixed inside the detection probe 206, and the brightness of the light emitting diode is stabilized by outputting a constant current.
FIG. 3 is a schematic diagram of a back structure of the detecting device; a Bluetooth module 302 is fixed in the detection probe 206 at the back of the detection probe 206 and at the lower right of a central control module 304; a constant current driving chip 307 is arranged at the right lower part of the central control module 304; is electrically connected with the central control module 304, and a protective plate 209 is fixed outside the three; the power supply module 205 is internally provided with a lithium battery and externally connected with a USB interface 501, and the USB interface 501 is connected with the detection probe 206 or the smart phone 401; a central control module 304 fixed on the back of the detection probe 206 for communication with the smartphone; the central control module 304 is in circuit connection with the micro sensor module 201 and the bluetooth module 302, and is used for controlling data acquisition and transmission, and simultaneously directly controlling the constant current driving chip 307 to output constant currents with different magnitudes to adjust the brightness of the light emitting diode.
The power supply module 205 is internally provided with a lithium battery, is externally connected with the USB interface 501, can be connected with the detection probe 206, has a power supply function and a fixing function for the detection probe 206, and can clamp the power supply module 205 on the smart phone; after the power supply module 205 is removed, the lithium battery can be charged through the USB interface 501.
Therefore, the equipment and the method for detecting the internal quality of the fruits, which are provided by the invention, utilize the miniature spectral sensor 201 as a spectral signal acquisition tool to replace a spectrometer used by the traditional detection equipment, and compared with the traditional detection equipment, the cost of core elements of the detection equipment is greatly reduced, the volume of the detection equipment is greatly reduced, so that the equipment is easy to carry and convenient to operate.
In addition, the light source module 203 is designed by selecting a light emitting diode as a light source, and compared with other point light sources, the light source module has high photoelectric conversion efficiency, small volume, long service life and low energy consumption. And the light emitting diode can emit monochromatic light, the spectral domain is wide +/-20 nm, and the light intensity and the wavelength are selected and are easy to combine and regulate. The peak wavelength of the light emitting diode is selected according to the characteristic wavelength of the internal quality of the detected fruit, so that the collected spectral data are reduced, the prediction model is simplified, and the detection and analysis speed can be accelerated.
In the embodiment of the present invention, in order to construct the detection environment in the dark room and prevent the interference of the ambient light, the external profile of the detection probe 206 is designed into a circumferential shape so as to be attached to the sample to be detected to prevent light leakage, and the micro spectrum sensor is surrounded by the long annular sleeve 212, and the inner circle of the sleeve is rounded to closely attach to the fruit skin, so as to ensure that the collected spectrum signal is the light signal reflected from the inside of the sample. And the shell structures of the detection probe 206 and the power supply module 205 are processed by 3D printing, so the whole weight is light.
Simultaneously, compare with prior art, this check out test set's operation is simple to use: the clamping structure of accessible power module 205 can the centre gripping carry out the spectrum collection on the cell-phone to real-time with the testing result demonstration on cell-phone APP. The detection method of the detection device is diffuse reflection detection, light sources symmetrically distributed on two sides of the micro spectral sensor 201 penetrate into a detection object, and the internal quality of a sample can be well reflected by collecting back scattering light, so that a rapid and nondestructive detection method is realized.
The following takes specific detection of sugar content of fruit as an example to illustrate the working principle of the invention:
the power supply module 205 and the detection probe 206 are connected through the USB interface 501 to supply power, then the power supply module and the detection probe are clamped on the smart phone 401, and then the pre-installed software of the smart phone can be opened, and the smart phone enters a software main interface to wait for detection. Then after pressing power button 208, paste the fruit that awaits measuring with the annular sleeve of test probe 206, can press the start-up detection function of cell-phone APP this moment, miniature spectral sensor 201 gathers spectral signal immediately, and the spectral signal who gathers is the backscattered light signal, and it has born the relevant information of the inside brix of fruit. The central control module 304 controls the collected data to be sent to the mobile phone by the Bluetooth module 302, the collected data are butted with the cloud database through the mobile phone APP, and the sugar degree prediction value under the measured spectrum can be calculated and sent to the smart phone terminal and displayed on the APP main interface by using the pre-loaded standard physicochemical value and the spectrum matrix prediction model of the cloud database. The three-time different sugar degree prediction values of the equator position of each fruit are obtained through measurement, and averaging is carried out on the mobile phone APP, so that the accuracy of the detection result is improved.
Claims (10)
1. A fruit internal quality detection sensor matched with a smart phone is characterized in that the fruit internal quality detection sensor is totally divided into a detection probe and a power supply part, and comprises a micro spectrum sensor module, a Bluetooth module, a light source module, a central control module and a power supply module; the central control module is respectively connected with the micro spectral sensor module, the Bluetooth module and the light source module; the Bluetooth module is connected with the smart phone and the cloud database in series; the power supply module is respectively connected with the micro spectral sensor module, the Bluetooth module, the light source module and the central control module; the light source module comprises four light-intensity-adjustable light-emitting diodes controlled by a central control module in a PWM mode, and a brightness adjusting instruction of the light source module is issued by a mobile phone APP; the four light-emitting diodes with adjustable light intensity are 4 light-emitting diodes with corresponding characteristic wavelengths selected according to different quality parameters of fruits to be detected.
2. The fruit internal quality detection sensor matched with the smart phone according to claim 1, wherein the micro spectrum sensor module is a multiband simultaneous sensing photoelectric sensor, a darkroom environment is constructed by an annular sleeve of a detection probe, and only backward scattered light signals are acquired; the miniature spectral sensor module is arranged in the long annular sleeve: the light source module consists of 4 light emitting diodes and is arranged in the detection probe, and the small annular sleeve is arranged at the bottom of the detection probe and surrounds the long annular sleeve; the detection probe is connected with the power supply module through a power supply button; the back of the detection probe is fixed with a Bluetooth module, a central control module and a control constant current driving chip, and a protection board is fixed outside the Bluetooth module, the central control module and the control constant current driving chip; the smart phone is inserted into the power supply module clamping groove, a lithium battery is arranged in the power supply module, the power supply module is externally connected with a USB interface, and the USB interface is connected with the detection probe or the smart phone; the miniature spectral sensor module is coupled with the optical filter and used for collecting multiband optical signals, the miniature spectral sensor module is in circuit connection with the central control module, and the optical signals are converted into digital signals by the AD chip of the central control module for subsequent processing.
3. The fruit internal quality detection sensor matched with the smart phone according to claim 1, wherein the Bluetooth module is a low-power device with small volume not exceeding 20 × 2mm, and the data collected by the micro spectrum sensor module is uploaded to a mobile phone application program and then processed by the mobile phone.
4. The fruit internal quality detection sensor matched with the smart phone as claimed in claim 1, wherein the central control module is used for controlling the collection of sensor signals, the sending and receiving of data and the brightness adjustment of the light emitting diodes.
5. The fruit internal quality detection sensor matched with the smart phone according to claim 1, wherein the power supply module integrally packages a lithium battery and a voltage boosting and stabilizing module, is externally connected with a USB plug, provides stable power supply for the whole device, and can be recycled; the clamping part is designed to be packaged outside and clamped on the shell of the mobile phone, so that the mobile phone is convenient to use.
6. The sensor for detecting the internal quality of the fruit matched with the smart phone as claimed in claim 1, wherein the micro spectrum sensor couples an optical filter with a central wavelength as the characteristic wavelength of the fruit according to a plurality of characteristic wavelengths corresponding to the chemical bonds of the sugar degree of the fruit to the sensor, and separates the spectrum into a plurality of different wavelengths through the action of the optical filter so as to perform multi-wavelength simultaneous detection.
7. The sensor for detecting the internal quality of the fruit matched with the smart phone as claimed in claim 1, wherein the light source module is 4 light emitting diodes with peak wavelengths of 880nm, 940nm, 980nm and 1060nm, the half-wave bandwidths are respectively 30nm, 45nm, 30nm and 40nm, and the peak wavelengths are selected to be related to the wavelengths specific to the chemical bonds of the sugar degree of the fruit; and the brightness output of the light source module is controlled by the central control module to output the brightness of the light emitting diode driven by the PWM control constant current source.
8. The sensor for detecting the internal quality of the fruit matched with the smart phone according to claim 1, wherein the LEDs are distributed in a manner that: the micro spectrum sensors are used as central axes, the micro spectrum sensors are symmetrically distributed on two sides of each micro spectrum sensor in pairs, and the angle distance between two light emitting diodes on one side is not more than 60 degrees at most in consideration of the space coordination layout of the light emitting diodes and the central control module; the light emitting diode is surrounded by the small annular sleeve and is fixed with the small annular sleeve in a clearance fit mode, and the sleeve serves as a light gathering cup and is used for gathering the axial irradiation intensity of the light emitting diode.
9. The sensor for detecting the internal quality of the fruit matched with the smart phone as claimed in claim 1, wherein the central control module is a single chip microcomputer with an inner core of 51, ARM, PIC or AVR, and integrates a data acquisition device and a data transmission device.
10. The utility model provides a fruit sugar degree detection method with inside quality detection sensor of fruit that smart mobile phone matches which characterized in that includes:
step 1, firstly, connecting a detection probe with a power supply part through a USB (universal serial bus) for supplying power, and then clamping the detection probe on a mobile phone;
step 2, pressing a power button, enabling a detection probe to be close to the fruit, enabling the mobile phone to be communicated with the central control module through the Bluetooth module, and enabling the central control module to control the micro spectrum sensor to collect the spectrum;
step 3, the central control module controls the Bluetooth module to send the spectrum data to the mobile phone, the mobile phone APP is in butt joint with the cloud database, and the standard physicochemical value preloaded by the cloud database and the spectrum matrix prediction model are used for calculating the predicted value of the internal quality of the fruit under the measured spectrum and sending the predicted value to the mobile phone APP main interface;
and 4, obtaining three different sugar degree predicted values of the equator position of each fruit through measurement, and averaging on the mobile phone APP to improve the accuracy of the detection result.
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| CN202010801832.9A CN112097908A (en) | 2020-08-11 | 2020-08-11 | Fruit internal quality detection sensor matched with smart phone and method thereof |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112781647A (en) * | 2021-01-07 | 2021-05-11 | 中国农业大学 | Miniature intelligent flight detector of fruit quality in growth |
| CN112964649A (en) * | 2021-02-04 | 2021-06-15 | 中国农业大学 | Large-area spectrum accurate collector for sensing quality of agricultural and livestock products |
| CN113418871A (en) * | 2021-05-08 | 2021-09-21 | 中国农业大学 | Portable rapid nondestructive testing and identifying device for grain quality |
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| CN114235723B (en) * | 2021-11-04 | 2024-04-02 | 福建师范大学 | Nondestructive measurement method and terminal for internal quality of fruits |
| CN115144365A (en) * | 2022-07-05 | 2022-10-04 | 珠海普林芯驰科技有限公司 | Breast milk quality on-line measuring system based on near infrared spectrum |
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