CN114983257A - Novel spectrum detection and artificial intelligent control commercial soybean milk machine - Google Patents
Novel spectrum detection and artificial intelligent control commercial soybean milk machine Download PDFInfo
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- 235000010469 Glycine max Nutrition 0.000 title claims abstract description 148
- 244000068988 Glycine max Species 0.000 title claims abstract description 148
- 235000013336 milk Nutrition 0.000 title claims abstract description 143
- 239000008267 milk Substances 0.000 title claims abstract description 143
- 210000004080 milk Anatomy 0.000 title claims abstract description 143
- 238000001228 spectrum Methods 0.000 title claims abstract description 48
- 238000001514 detection method Methods 0.000 title claims abstract description 43
- 238000004537 pulping Methods 0.000 claims abstract description 38
- 238000000034 method Methods 0.000 claims abstract description 33
- 230000008569 process Effects 0.000 claims abstract description 32
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 11
- 230000000149 penetrating effect Effects 0.000 claims abstract description 4
- 239000000523 sample Substances 0.000 claims description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000010438 heat treatment Methods 0.000 claims description 11
- 239000000463 material Substances 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 10
- 230000008030 elimination Effects 0.000 claims description 9
- 238000003379 elimination reaction Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 239000013307 optical fiber Substances 0.000 claims description 7
- 230000003595 spectral effect Effects 0.000 claims description 6
- 239000007787 solid Substances 0.000 claims description 5
- 238000010009 beating Methods 0.000 claims description 4
- 102000004169 proteins and genes Human genes 0.000 claims description 4
- 108090000623 proteins and genes Proteins 0.000 claims description 4
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 230000003321 amplification Effects 0.000 claims description 3
- 239000007788 liquid Substances 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 230000004888 barrier function Effects 0.000 claims description 2
- 238000010835 comparative analysis Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 claims description 2
- 238000002360 preparation method Methods 0.000 claims 3
- 238000003756 stirring Methods 0.000 claims 1
- 238000005265 energy consumption Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000004886 process control Methods 0.000 abstract 1
- 235000013322 soy milk Nutrition 0.000 description 5
- 238000009835 boiling Methods 0.000 description 2
- 230000001804 emulsifying effect Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000011112 process operation Methods 0.000 description 2
- 238000000985 reflectance spectrum Methods 0.000 description 2
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 239000011324 bead Substances 0.000 description 1
- 238000009614 chemical analysis method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005485 electric heating Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- FCZCIXQGZOUIDN-UHFFFAOYSA-N ethyl 2-diethoxyphosphinothioyloxyacetate Chemical compound CCOC(=O)COP(=S)(OCC)OCC FCZCIXQGZOUIDN-UHFFFAOYSA-N 0.000 description 1
- 229910052736 halogen Inorganic materials 0.000 description 1
- 150000002367 halogens Chemical class 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 239000000741 silica gel Substances 0.000 description 1
- 229910002027 silica gel Inorganic materials 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 230000005477 standard model Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J43/00—Implements for preparing or holding food, not provided for in other groups of this subclass
- A47J43/04—Machines for domestic use not covered elsewhere, e.g. for grinding, mixing, stirring, kneading, emulsifying, whipping or beating foodstuffs, e.g. power-driven
- A47J43/07—Parts or details, e.g. mixing tools, whipping tools
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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
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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
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/4738—Diffuse reflection, e.g. also for testing fluids, fibrous materials
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Abstract
The invention discloses a novel spectrum detection and artificial intelligent control commercial soybean milk machine, relates to the field of spectrum detection and artificial intelligent control, and solves the problem of the conventional commercial soybean milk machine in detection and soybean milk making process control. The method comprises the steps of detecting and analyzing the multicomponent content of the prepared soybean milk by adopting a diffuse reflection spectrum detection and analysis technology, and controlling the soybean milk making process of the commercial soybean milk machine according to the analysis result in an artificial intelligence mode. The light-emitting device is characterized by comprising a pulping barrel, a light-emitting component, a diffuse reflection light receiving component, a signal processing module and a microprocessor, wherein a through hole penetrating through the upper part of the wall of the pulping barrel is formed in the position close to the upper edge, the light-emitting component and the diffuse reflection light receiving component are respectively and hermetically arranged on two sides of the through hole, the light-emitting component comprises a light source and a light splitting element, and the diffuse reflection light receiving component comprises a light shield, an integrating sphere, a light filter and a photoelectric detector. The invention makes the pulping process more scientific and standard, can accurately control the pulping quality, effectively reduces unnecessary energy consumption and improves the pulping efficiency.
Description
Technical Field
The invention relates to the field of spectrum detection and artificial intelligent control, in particular to a novel commercial soybean milk machine with spectrum detection and artificial intelligent control.
Background
According to the national standard, the contents of total solid, protein, fat and the like of the soybean milk raw pulp are in physicochemical requirements, but the current commercial soybean milk machines have the following defects in the process of preparing the soybean milk: except for detecting the temperature of the soybean milk, other comprehensive indexes of the soybean milk are not detected. Therefore, the multi-component content and whether the prepared soybean milk reaches the standard are not clear, the quality of the soybean milk cannot be guaranteed, the boiling and beating time and the program of the soybean milk are unscientific, and meanwhile, the energy consumption can be increased and the efficiency can be reduced.
Therefore, the soybean milk detection method of the existing commercial soybean milk machine needs to be improved, and the boiling time and the whipping time and the flow are reasonably controlled.
Disclosure of Invention
According to the characteristic of diffuse reflection light, namely that analysis light enters a sample, and then returns to the surface after being reflected, refracted, diffracted and absorbed for multiple times, the analysis light interacts with molecules in the sample, and the sample structure and composition information are loaded, and the component information contained in the soybean milk can be obtained by measuring and analyzing the spectrum of the diffuse reflection light of the soybean milk.
A novel spectrum detection and artificial intelligent control commercial soybean milk maker is characterized by comprising a soybean milk making barrel, a transmitting light assembly, a diffuse reflection light receiving assembly, a signal processing module and a microprocessor, wherein a through hole penetrating through the soybean milk making barrel is formed in the position, close to the upper edge, of the upper portion of the barrel wall of the soybean milk making barrel, the transmitting light assembly is hermetically installed at the through hole on one side, the diffuse reflection light receiving assembly is hermetically installed at the through hole on the opposite side, the transmitting light assembly comprises a light source and a light splitting element, light beams emitted by the light source are dispersed into monochromatic light with various wavelengths through the light splitting element and then irradiate the surface of the soybean milk making liquid at an incidence angle of about 30 degrees, the diffuse reflection light receiving assembly comprises a light shield, an integrating sphere, a light filter and a photoelectric detector, the light filter adopts an absorption light filter and selectively transmits light within a specific wavelength range, and the photoelectric detector receives diffuse reflection spectrum information with multi-component content information of the soybean milk and outputs an electric signal, the signal processing module comprises a signal amplifying module and an analog-to-digital conversion module and is used for amplifying the electric signal output by the photoelectric detector and carrying out analog/data conversion processing, the microprocessor carries out noise elimination and correction processing on the converted diffuse reflection spectrum digital signal with the multi-component content information of the prepared soybean milk, calculates the actual data of the multi-component content and the occupation ratio of the prepared soybean milk through a pre-sealed calibration model and carries out contrastive analysis on the actual data and the preset standard range index, and the pulping process is controlled artificially and intelligently according to the analysis result.
Further, the light source includes but is not limited to visible light, infrared light, ultraviolet light, different light sources select different light emitting elements, and the photodetector must be matched with the light source in spectral characteristics.
Furthermore, the light shield is made of hard non-reflective materials and is wound into a cone shape to be mounted on the inner wall of the pulping barrel at the diffuse reflection light receiving assembly end, and the light shield is used for shielding reflection light of the inner wall of the pulping barrel around the light inlet of the integrating sphere.
Furthermore, the integrating sphere is a hollow sphere with the inner wall coated with diffuse reflection materials, the light inlet of the integrating sphere is hermetically arranged at the through hole of the pulping barrel, the light outlet and the light inlet are vertically arranged below the integrating sphere, and the inner side of the light outlet is provided with a light barrier with the same curvature as the spherical surface.
Furthermore, a lower barrel is arranged below the pulping barrel, a control system card box is arranged on the inner wall of the lower barrel, a control system board is arranged in the control system card box, and the signal processing module and the microprocessor are arranged on the control system board.
Furthermore, equipment cover boxes are arranged outside the light emitting component and the diffuse reflection light receiving component, the equipment cover boxes outside the light emitting component are connected with the wire grooves of the commercial soymilk machine, and the upper parts of the equipment cover boxes are provided with operation panels.
Further, a novel spectral detection and artificial intelligence control's commercial soybean milk machine still includes knife tackle subassembly, motor element, heating device, temperature probe, anti-overflow probe, low water level probe, knife tackle unit mount is in the middle of the bottom in the pulping bucket, and motor element passes through the mounting and installs in the middle of the outer bottom of pulping bucket, and the motor output shaft cup joints with the knife tackle axis of rotation, and temperature probe, anti-overflow probe, low water level probe, heating pipe, motor and control system board electricity are connected.
Furthermore, all assembly parts in the pulping barrel of the novel commercial soybean milk machine with spectrum detection and artificial intelligent control are made of food-grade safe materials.
Further, as an optimization, a remote data processing component can be additionally arranged on the novel spectrum detection and artificial intelligent control commercial soybean milk machine, the remote data processing component comprises a wireless signal transmitting and receiving module, a wireless signal transmitting and receiving device, an optical fiber data transmission line and a remote computer, the wireless signal transmitting and receiving module is arranged on a control system board, the wireless signal transmitting and receiving device is arranged near the commercial soybean milk machine, the wireless signal transmitting and receiving device is connected with the remote computer through the optical fiber data transmission line, the microprocessor transmits a diffuse reflection spectrum digital signal with the multi-component content information of the soybean milk to the remote computer through a wireless added line network, the remote computer carries out noise elimination and correction processing on the received diffuse reflection spectrum digital signal, and the actual data of the content and the ratio of the soybean milk to be processed are calculated through a pre-stored calibration model and compared with the preset standard range index And analyzing and other complex mathematical operations, recording, storing and displaying related pulping data, and transmitting the operation result to a microprocessor of the commercial soybean milk machine for artificial intelligent control of the pulping process.
Furthermore, the artificial intelligence control pulping process of the novel spectrum detection and artificial intelligence control commercial soybean milk machine is mainly implemented according to the following steps:
step one, after a commercial soybean milk machine starts to work, a microprocessor sets a flow control heating device to heat water containing soybeans to 100 ℃ and then boils the water for three minutes, and a control motor drives a cutter set to start beating and crushing the soybeans for three minutes;
step two, the microprocessor sets a flow control to start a light source, starts to detect the spectral information of diffuse reflection light with the multi-component content information of the prepared soybean milk, performs amplification and conversion treatment, scans the detection frequency for six times per minute, and always keeps the temperature of the prepared soybean milk at 100 ℃ in the detection process;
thirdly, the microprocessor receives the converted diffuse reflection spectrum digital signal with the multi-component content information of the prepared soybean milk to perform noise elimination and correction processing, the actual data of the multi-component content and the proportion of the prepared soybean milk are calculated through a pre-sealed calibration model, the average value of the actual data obtained by six detection and processing every minute is compared and analyzed with a preset standard range index, if the content of solid matters in the prepared soybean milk exceeds the standard, the feedback control motor continues to whip and crush, if the content of protein and fat in the prepared soybean milk does not reach the standard, the feedback control motor continues to whip and crush, if the content of specific elements in the prepared soybean milk does not reach the standard, the feedback control heating device continues to heat and boil, and the frequency of the whip and crush is continuously whipped for one minute, Stopping for ten seconds, and then performing the whipping process operation according to the feedback control instruction, wherein the temperature for preparing the soybean milk is always kept at 100 ℃ in the whipping and crushing process;
and step four, repeating the step two and the step three, completing the pulping process if the multi-component content data of the prepared soybean milk reaches the set standard range index after detection and analysis, stopping the pulping process if the prepared soybean milk cannot reach the standard all the time within the set time upper limit, triggering a warning device to prompt an operator, and displaying the multi-component content data of the prepared soybean milk and the difference data of the standard range index on an operation panel, thereby facilitating the analysis, judgment and problem solving of related personnel.
The invention has the advantages that the diffuse reflection spectrum analysis technology is adopted to detect and analyze the multicomponent content of the prepared soybean milk, and the soybean milk making process of the commercial soybean milk machine is controlled in an artificial intelligence mode according to the analysis result, so that the soybean milk making process is more scientific, normative and reasonable, the soybean milk making quality can be controlled accurately and stably, the quality and the taste of the soybean milk are ensured to be good all the time, meaningless energy consumption can be effectively reduced, and the soybean milk making efficiency is improved.
Drawings
FIG. 1 is a schematic view of the external structure of the present invention
FIG. 2 is a schematic view of the diffuse reflectance spectrum detection process of the present invention
FIG. 3 is a schematic diagram of another preferred diffuse reflectance spectrum detection process of the present invention
Reference numerals: 01-an operation panel, 02-a barrel handle, 03-a cover lock, 04-an upper barrel cover, 05-a cover head, 06-a cover handle, 07-a faucet, 08-a leakage protection switch, 1-a pulping barrel, 11-soybean milk making, 2-a light emitting component, 21-a light source, 22-a light splitting component, 3-a diffuse reflection light receiving component, 31-a light shield, 32-an integrating sphere, 33-a light filter, 34-a photoelectric detector, 4-a light emitting component equipment cover box, 5-a diffuse reflection light receiving component equipment cover box, 6-a signal processing module, 61-a signal amplifying module, 62-an analog-digital conversion module, 7-a microprocessor, 8 remote data processing components, 81-a wireless signal emitting receiver and 82-an optical fiber data transmission line, 83-remote computer.
Detailed Description
The following provides a more detailed description of embodiments of the present invention, with reference to the accompanying drawings.
As shown in figures 1-3, the invention provides a novel spectrum detection and artificial intelligent control commercial soybean milk machine, according to the characteristics of diffuse reflection light, namely that the diffuse reflection light is the light which is reflected, refracted, diffracted and absorbed for many times after the analysis light enters the sample and returns to the surface, the analysis light interacts with the inner molecule of the sample, the sample structure and composition information are loaded, and the component information contained in the soybean milk can be obtained by measuring and analyzing the spectrum of the diffuse reflection light of the soybean milk, therefore, the invention adopts the diffuse reflection spectrum detection and analysis technology to detect and analyze the multicomponent content of the soybean milk, and the soybean milk making process of the commercial soybean milk machine is controlled artificially and intelligently according to the analysis result. The invention comprises a pulping barrel 1, a light emitting component 2, a diffuse reflection light receiving component 3, a light emitting component 2 equipment cover box 4, a diffuse reflection light receiving component 3 equipment cover box 5, a signal processing module 6 and a microprocessor 7.
An operation panel 01, a barrel handle 02, a cover buckle 03, an upper barrel cover 04, a cover head 05, a cover handle 06, a tap 07 and an electric leakage protection switch 08 are arranged outside a pulping barrel 1, during pulping, the pulping barrel 1 is internally provided with the soybean milk preparation 11, a through hole penetrating through the upper part of the barrel wall of the pulping barrel 1 is arranged near the upper edge, a light emitting component 2 is hermetically arranged at the through hole at one side, an equipment cover box 4 is arranged outside the light emitting component 2, the light emitting component equipment cover box 4 is connected with a wire casing of a commercial soybean milk machine, the operation panel 01 is arranged at the upper part of the light emitting component equipment cover box 4, a diffuse reflection light receiving component 3 is hermetically arranged at the through hole at the opposite side, and an equipment cover box 5 is arranged outside the diffuse reflection light receiving component 3.
The light emitting component 2 of the present invention comprises a light source 21 and a light splitting element 22, wherein the light source 21 includes but is not limited to visible light, infrared light and ultraviolet light, different light sources 21 are different light emitting elements, if near infrared light is adopted, a halogen lamp is selected, a concave spherical reflector is added behind a lamp bead to effectively utilize the light source and fold a light path to shorten an optical path, if infrared light is adopted, an LED infrared lamp is selected, if ultraviolet light is adopted, an ultraviolet lamp is selected, the light splitting element 22 adopts a fixed array detection type, and a light beam emitted by the light source 21 is dispersed into monochromatic incident light with various wavelengths through the light splitting element 22 and then irradiates the liquid surface of the soybean milk making 11 at an incident angle of about 30 degrees.
The diffuse reflection light receiving component 3 of the invention comprises a light shield 31, an integrating sphere 32, a filter 33 and a photoelectric detector 34, wherein the light shield 31 is coiled into a conical shape by hard non-reflection materials and is arranged on the inner wall of a pulping barrel 1 at the end of the diffuse reflection light receiving component 3 for shielding the reflection light of the inner wall of the pulping barrel 1 around the light inlet of the integrating sphere 32, the light shield 31 can be made of hard silica gel materials, the integrating sphere 32 is a hollow sphere the inner wall of which is coated with diffuse reflection materials, the light inlet of the integrating sphere is hermetically arranged at the through hole of the pulping barrel 1, the light outlet and the light inlet are vertically arranged below the integrating sphere, the inner side of the light outlet is provided with a light baffle plate with the same curvature as the spherical surface, the inner wall of the sphere can be made of high-end F4 diffuse reflection materials, the filter 33 is made of an absorption filter for selectively transmitting light in a specific wavelength range, the photoelectric detector 34 is matched with the light source 21 in spectral characteristics, the photodetector 34 receives the spectrum information of the diffuse reflection light with the information of the contents of the plural components of the soymilk making 11 and outputs an electric signal.
The signal processing module 6 of the present invention includes a signal amplifying module 61 and an analog-to-digital conversion module 62, and is configured to amplify and perform analog-to-digital conversion processing on the electrical signal output by the photodetector 34, and output a diffuse reflection spectrum digital signal after the processing.
The microprocessor 7 of the invention carries out noise elimination and correction processing on the converted diffuse reflection spectrum digital signal with the multicomponent content information of the soybean milk 11, calculates the actual data of the multicomponent content and the proportion of the soybean milk 11 through a pre-sealed calibration model, and carries out comparison analysis with the preset standard range index, thereby controlling the soybean milk making process in an artificial intelligence way according to the analysis result.
The lower part of the pulping barrel 1 is provided with a lower barrel, the inner wall of the lower barrel is provided with a control system card box, a control system board is arranged in the control system card box, and the signal processing module 6 and the microprocessor 7 are arranged on the control system board.
The novel spectrum detection and artificial intelligent control commercial soybean milk machine further comprises a cutter set assembly, a motor assembly, a heating device, a temperature probe, an anti-overflow probe and a low water level probe, wherein the cutter set assembly is installed in the middle of the inner bottom of the soybean milk making barrel 1, the motor assembly is installed in the middle of the outer bottom of the soybean milk making barrel 1 through a fixing piece, a motor output shaft is sleeved with a cutter set rotating shaft, and the temperature probe, the anti-overflow probe, the low water level probe, an electric heating pipe and a motor are electrically connected with a control system board.
According to the novel spectrum detection and artificial intelligent control commercial soybean milk machine, all assembly parts in the soybean milk making barrel 1 are made of food-grade safe materials.
Preferably, the novel spectrum detection and artificial intelligent control commercial soybean milk maker can be additionally provided with a remote data processing component 8, the remote data processing component 8 comprises a wireless signal transmitting and receiving module, a wireless signal transmitting and receiving module 81, an optical fiber data transmission line 82 and a remote computer 83, the wireless signal transmitting and receiving module is arranged on a control system board, the wireless signal transmitting and receiving module 81 is arranged near the commercial soybean milk maker, the wireless signal transmitting and receiving module 81 is connected with the remote computer 83 through the optical fiber data transmission line 82, the microprocessor 7 transmits a diffuse reflection spectrum digital signal with multi-component content information of the soybean milk 11 to the remote computer 83 through a wireless wired network, the remote computer 83 performs noise elimination and correction processing on the received diffuse reflection spectrum digital signal, and the actual data of the multi-component content and the occupation ratio of the soybean milk 11 are calculated through a pre-stored calibration model and are compared with the pre-set real data of the soybean milk maker The standard range index is determined to perform complex mathematical operations such as comparative analysis and the like, record, store and display related pulping data, and the operation result is transmitted to a microprocessor 7 of the commercial soybean milk machine for artificial intelligent control of the pulping process. The remote data processing assembly 8 is additionally arranged, so that the operation and analysis workload of the microprocessor 7 can be greatly reduced, the cost of the microprocessor 7 is reduced, meanwhile, the related control data of the pulping process can be recorded, stored and displayed more effectively, the system management and the continuous improvement of the artificial intelligent control process are facilitated, and meanwhile, the system management and the artificial intelligent control of the pulping process of a plurality of commercial soybean milk machines of the same type in a soybean milk production factory are facilitated.
The calibration model and the standard range index are characterized in that the prepared soybean milk with excellent quality and taste is sampled in batches (the number of samples is not less than 50) under the same raw materials, the same ingredient ratio and the same environment, a diffuse reflection spectrum standard model of the multicomponent content and the ratio of the prepared soybean milk and indexes including the solid content, the protein content, the fat content, the specific element content, the emulsifying degree and the like are respectively averaged on the basis of a Kubelka-Munk (Kubelka-Munk) equation and are determined by a chemical analysis method and a chemometrics manner, and then the indexes are respectively expanded by 5% at the upper limit and the lower limit to be used as standard range indexes formed by threshold value limits. The calibration model and the standard range index are preset in the operation program of the microprocessor or the remote computer, so that the actual data index of the corresponding multicomponent content and the ratio of the soymilk 11 can be calculated by substituting the detected diffuse reflection spectrum data of the soymilk 11 into the calibration model during the soymilk making process.
The artificial intelligence control pulping process of the novel spectrum detection and artificial intelligence control commercial soybean milk machine is mainly implemented according to the following steps:
step one, after a commercial soybean milk machine starts to work, a microprocessor 7 sets a flow control heating device to heat water containing soybeans to 100 ℃ and then boil the water for three minutes, and controls a motor to drive a cutter set to start beating and crushing the soybeans for three minutes;
step two, the microprocessor 7 sets a flow control to start the light source 21, starts to detect the spectrum information of the diffuse reflection light with the multi-component content information of the soybean milk making 11, and performs amplification and conversion processing, and scans the detection frequency for six times per minute;
step three, the microprocessor 7 receives the converted diffuse reflection spectrum digital signal with the multi-component content information of the soybean milk 11 to perform noise elimination and correction processing, calculates the actual data of the multi-component content and the ratio of the soybean milk 11 through a pre-sealed calibration model, compares the average value of the actual data obtained by six detection and processing every minute with the preset standard range index for analysis, if the content of solid matters in the soybean milk 11 exceeds the standard, the feedback control motor continues to whip and crush, if the content of protein and fat in the soybean milk 11 does not reach the standard, the feedback control motor continues to whip and crush, if the content of specific elements in the soybean milk 11 does not reach the standard, the feedback control motor continues to whip and crush, if the emulsifying degree of the soybean milk 11 does not reach the standard, the feedback control heating device continues to heat and boil, the frequency of the whip and crush is one minute according to the continuous whip, Stopping for ten seconds, and then performing the whipping process operation according to the feedback control instruction, wherein the temperature for preparing the soybean milk is always kept at 100 ℃ in the whipping and crushing process;
and step four, repeating the step two and the step three, completing the pulping process if the multi-component content data of the prepared soybean milk 11 reaches the set standard range index after detection and analysis, stopping the pulping process if the prepared soybean milk 11 cannot reach the standard all the time within the set time upper limit, triggering the warning device to prompt an operator, and displaying the multi-component content data of the prepared soybean milk 11 and the difference data of the standard range index on the operation panel 01, thereby facilitating the analysis, judgment and problem solving of related personnel.
Finally, it should be noted that: the embodiments described above are only used for illustrating the technical solutions of the present invention, so as to describe the basic principles, main features and advantages of the present invention, and not to limit the same, and the present invention is referred to various components which are common in the prior art, although the above embodiments describe the present invention in detail, it should be understood by those skilled in the art that the technical solutions described in the above embodiments can be modified or some technical features can be equivalently replaced without departing from the spirit and scope of the present invention, and the modifications or the replacements are all within the scope of the claims of the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A novel spectrum detection and artificial intelligent control commercial soybean milk maker is characterized by comprising a soybean milk making barrel, a transmitting light assembly, a diffuse reflection light receiving assembly, a signal processing module and a microprocessor, wherein a through hole penetrating through the soybean milk making barrel is formed in the position, close to the upper edge, of the upper portion of the barrel wall of the soybean milk making barrel, the transmitting light assembly is hermetically installed at the through hole on one side, the diffuse reflection light receiving assembly is hermetically installed at the through hole on the opposite side, the transmitting light assembly comprises a light source and a light splitting element, light beams emitted by the light source are dispersed into monochromatic light with various wavelengths through the light splitting element and then irradiate the surface of the soybean milk making liquid at an incidence angle of about 30 degrees, the diffuse reflection light receiving assembly comprises a light shield, an integrating sphere, a light filter and a photoelectric detector, the light filter adopts an absorption light filter and selectively transmits light within a specific wavelength range, and the photoelectric detector receives diffuse reflection spectrum information with multi-component content information of the soybean milk and outputs an electric signal, the signal processing module comprises a signal amplifying module and an analog-to-digital conversion module and is used for amplifying the electric signal output by the photoelectric detector and carrying out analog/data conversion processing, the microprocessor carries out noise elimination and correction processing on the converted diffuse reflection spectrum digital signal with the multi-component content information of the prepared soybean milk, calculates the actual data of the multi-component content and the occupation ratio of the prepared soybean milk through a pre-sealed calibration model and carries out contrastive analysis on the actual data and the preset standard range index, and the pulping process is controlled artificially and intelligently according to the analysis result.
2. The novel spectrum detection and artificial intelligent control commercial soybean milk machine according to claim 1, characterized in that the light source includes but is not limited to visible light, infrared light, ultraviolet light, different light sources select different light emitting elements, and the photodetector must be matched with the light source in spectral characteristics.
3. The novel spectrum detection and artificial intelligent control commercial soybean milk machine according to claim 1, characterized in that the light shield is made of hard non-reflective material and is curled into a cone shape to be installed at the inner wall of the soybean milk making barrel at the diffuse reflection light receiving component end for shielding the reflection light of the inner wall of the soybean milk making barrel around the light inlet of the integrating sphere.
4. The novel spectrum detection and artificial intelligent control commercial soybean milk machine according to claim 1, characterized in that the integrating sphere is a hollow sphere with the inner wall coated with diffuse reflection material, the light inlet of the integrating sphere is hermetically installed at the through hole of the soybean milk making barrel, the light outlet and the light inlet are vertically arranged below the integrating sphere, and the inner side of the light outlet is provided with a light barrier with the same curvature as the spherical surface.
5. The novel spectrum detection and artificial intelligent control commercial soybean milk machine according to claim 1, characterized in that a lower barrel is arranged below the soybean milk making barrel, a control system card box is arranged on the inner wall of the lower barrel, a control system board is arranged in the control system card box, and the signal processing module and the microprocessor are arranged on the control system board.
6. The novel spectrum detection and artificial intelligent control commercial soybean milk machine according to claim 1, characterized in that equipment cover boxes are respectively installed outside the light emitting component and the diffuse reflection light receiving component, the equipment cover boxes outside the light emitting component are connected with a wire casing of the commercial soybean milk machine, and an operation panel is installed at the upper part of the equipment cover boxes.
7. The novel spectrum detection and artificial intelligent control commercial soybean milk machine according to claim 1, characterized by further comprising a cutter set assembly, a motor assembly, a heating device, a temperature probe, an anti-overflow probe and a low water level probe, wherein the cutter set assembly is installed in the middle of the inner bottom of the soybean milk making barrel, the motor assembly is installed in the middle of the outer bottom of the soybean milk making barrel through a fixing piece, a motor output shaft is sleeved with a cutter set rotating shaft, and the temperature probe, the anti-overflow probe, the low water level probe, the heating pipe and the motor are electrically connected with the control system board.
8. The novel spectrum detecting and artificial intelligent control commercial soybean milk machine as claimed in claim 1, wherein all the assembly parts in the soybean milk making barrel are made of food-grade safe materials.
9. The novel spectrum detection and artificial intelligence control commercial soybean milk machine according to claim 1, characterized in that as an optimization, a remote data processing component is added, the remote data processing component comprises a wireless signal transmitting and receiving module, a wireless signal transmitting and receiving device, an optical fiber data transmission line and a remote computer, the wireless signal transmitting and receiving module is arranged on a control system board, the wireless signal transmitting and receiving device is arranged near the commercial soybean milk machine, the wireless signal transmitting and receiving device is connected with the remote computer through the optical fiber data transmission line, the microprocessor transmits a diffuse reflection spectrum digital signal with the soybean milk preparation multi-component content information to the remote computer through a wireless wired network, the remote computer performs noise elimination and correction processing on the received diffuse reflection spectrum digital signal, and the actual data of the soybean milk preparation multi-component content and the ratio are calculated through a pre-stored calibration model and are compared with the pre-set real data of the soybean milk preparation multi-component content and the ratio The standard range index of the soybean milk maker is used for carrying out complex mathematical operations such as comparative analysis and the like, recording, storing and displaying related soybean milk making data, and transmitting the operation result to a microprocessor of the commercial soybean milk maker for carrying out artificial intelligent control on the soybean milk making process.
10. The novel spectrum detection and artificial intelligence control commercial soybean milk machine according to claim 1, characterized in that the artificial intelligence control soybean milk making process is mainly implemented according to the following steps:
step one, after a commercial soybean milk machine starts to work, a microprocessor sets a flow control heating device to heat water containing soybeans to 100 ℃ and then boils the water for three minutes, and a control motor drives a cutter set to start beating and crushing the soybeans for three minutes;
step two, the microprocessor sets a flow control to start a light source, starts to detect the spectral information of diffuse reflection light with the multi-component content information of the prepared soybean milk, performs amplification and conversion treatment, scans the detection frequency for six times per minute, and always keeps the temperature of the prepared soybean milk at 100 ℃ in the detection process;
thirdly, the microprocessor receives the converted diffuse reflection spectrum digital signal with the multi-component content information of the prepared soybean milk to perform noise elimination and correction processing, the actual data of the multi-component content and the proportion of the prepared soybean milk are calculated through a pre-sealed calibration model, the average value of the actual data obtained by six detection and processing every minute is compared and analyzed with a preset standard range index, if the content of solid matters in the prepared soybean milk exceeds the standard, the feedback control motor continues to whip and crush, if the content of protein and fat in the prepared soybean milk does not reach the standard, the feedback control motor continues to whip and crush, if the content of specific elements in the prepared soybean milk does not reach the standard, the feedback control heating device continues to heat and boil, and the frequency of the whip and crush is continuously whipped for one minute, Stopping for ten seconds, and then performing the flow operation according to the feedback control instruction, wherein the soybean milk making temperature is always kept at 100 ℃ in the stirring and crushing process;
and step four, repeating the step two and the step three, completing the pulping process if the multi-component content data of the prepared soybean milk reaches the set standard range index after detection and analysis, stopping the pulping process if the prepared soybean milk cannot reach the standard all the time within the set time upper limit, triggering a warning device to prompt an operator, and displaying the multi-component content data of the prepared soybean milk and the difference data of the standard range index on an operation panel, thereby facilitating the analysis, judgment and problem solving of related personnel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210817163.3A CN114983257A (en) | 2022-07-12 | 2022-07-12 | Novel spectrum detection and artificial intelligent control commercial soybean milk machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210817163.3A CN114983257A (en) | 2022-07-12 | 2022-07-12 | Novel spectrum detection and artificial intelligent control commercial soybean milk machine |
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| CN114983257A true CN114983257A (en) | 2022-09-02 |
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| CN202210817163.3A Pending CN114983257A (en) | 2022-07-12 | 2022-07-12 | Novel spectrum detection and artificial intelligent control commercial soybean milk machine |
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| CN (1) | CN114983257A (en) |
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Application publication date: 20220902 |