White spirit year identification equipment based on Tyndall effect

Abstract

The invention discloses white spirit year identification equipment based on the Tyndall effect. The equipment comprises a display module 1, a light source module 2, a power supply module 3, a data processing module 4, an optical detection module 5, a sample bin track 6 and a sample bin 7. The display module 1 outputs an identification result; the light source module 2 emits a light beam with a specific wavelength to irradiate a white spirit sample to generate a Tyndall effect; the power module 3 provides stable power; the optical detection module 5 comprises a photoelectric sensor, a CCD (Charge Coupled Device) camera and an automatic calibration unit, can improve the detection precision and environmental adaptability, records scattered light characteristics of a white spirit sample, converts the scattered light characteristics into electric signals and transmits the electric signals to the data processing module 4; the data processing module 4 analyzes light scattering characteristics by using an algorithm, extracts optical parameters related to the aging time of the white spirit, compares the optical parameters with a standard database, calculates the year information of the white spirit, comprises a remote monitoring module, and supports real-time monitoring and data traceability; to-be-detected white spirit is stored in the sample bin 7 to ensure stable transmission of light beams; the sample bin track 6 ensures that the sample bin 7 is stably fed into a detection area. The method can realize rapid, lossless and accurate detection of the vintage of the Baijiu, and is suitable for Baijiu production, quality control and market supervision.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of food detection, in particular to a device for identifying the age of liquor based on the Tyndall effect. BACKGROUND

[0002] The age of liquor is an important factor affecting its quality and market value. Traditional identification methods mainly rely on sensory evaluation, chemical analysis or physical measurement, which are often costly, time-consuming and may be affected by subjective factors. Therefore, providing an efficient and non-destructive identification method is crucial for the liquor industry.

[0003] The Tyndall effect refers to the scattering of light beams when they pass through a medium containing tiny particles, forming visible light paths in the medium. The changes in liquor at different storage ages mainly reflect the changes in the distribution and concentration of colloidal particles, so the Tyndall effect can be used to identify the age of liquor.

[0004] However, the present inventors have found that the above-mentioned technology has at least the following technical problems in the process of implementing the technical solutions of the embodiments of the present application:

[0005] Existing methods for identifying the age of liquor mainly rely on chemical analysis or sensory evaluation, which have the following technical problems: 1) chemical analysis is costly, time-consuming and destructive to samples; 2) sensory evaluation relies on subjective experience, resulting in unstable test results; 3) existing equipment cannot achieve automation and data traceability. To address the above problems, the present application proposes a liquor age identification device based on the Tyndall effect, providing an efficient, non-destructive and automated solution. Traditional detection equipment cannot provide non-destructive, high-precision and rapid analysis, and has low data traceability and automation. Existing technology lacks intelligent algorithm support and cannot effectively utilize big data analysis for efficient comparison and accurate prediction of liquor age. Environmental factors such as temperature and humidity changes have a significant impact on test results, and existing equipment cannot provide real-time correction mechanisms. SUMMARY

[0006] The present application provides a liquor age identification device based on the Tyndall effect, which solves the technical problems of traditional detection equipment in existing technology that relies on chemical analysis or sensory evaluation, cannot provide non-destructive, high-precision and rapid analysis, and is easily affected by environmental and human factors, resulting in unstable test results. By using a high-precision spectrometer and a CCD camera, the present application improves the accuracy of light scattering signal acquisition and achieves more accurate determination of the age of liquor.

[0007] The technical problems of low data traceability and automation in the prior art are solved, remote monitoring and data storage functions are realized, cloud storage and historical data management are supported, and the needs of market supervision, distilleries and collectors for data traceability are met.

[0008] The technical problems of lack of intelligent algorithm support in the prior art, inability to effectively utilize big data analysis for efficient comparison and accurate prediction of liquor age, are solved, artificial intelligence algorithm and big data analysis are combined to perform deep learning on light scattering characteristics, and the accuracy and stability of age identification are improved.

[0009] The technical problems of the influence of environmental factors (such as temperature and humidity changes) on the detection results, and the inability of existing equipment to provide real-time correction mechanism are solved, an automatic calibration unit is provided, the changes in wavelength and intensity of the light source are monitored in real time by a photosensitive sensor, and the light source output parameters are automatically adjusted according to environmental conditions (such as temperature and humidity), ensuring the accuracy and stability of the detection process, and ensuring that the light source and optical detection module 5 can maintain the best working state under different environmental conditions.

[0010] Through the above improvements, the present application realizes high-precision, fast and non-destructive detection of liquor age, improves the reliability and traceability of data, and provides a more scientific evaluation method for liquor quality control, market supervision and consumer market.

[0011] The embodiment of the present application provides a liquor age identification device based on the Dillard effect, which comprises a display module 1, a light source module 2, a power module 3, a data processing module 4, an optical detection module 5, a sample bin track 6 and a sample bin 7. The display module 1 is used to output the identification result; the light source module 2 is used to emit a light beam of a specific wavelength to irradiate the liquor sample to be tested, so that the Dillard effect is generated; the power module 3 provides a stable power supply; the optical detection module 5 comprises a high-precision spectrum analyzer and a CCD camera, which receives and records the scattering light characteristics of the liquor sample and converts them into electrical signals transmitted to the data processing module 4; the data processing module 4 analyzes the light scattering characteristics using an artificial intelligence algorithm, extracts optical parameters related to the aging time of the liquor, and compares them with a standard database to calculate the age information of the liquor; an automatic calibration unit monitors the changes in wavelength and intensity of the light source in real time through a built-in photosensitive sensor, and automatically adjusts the light source output parameters according to environmental conditions (such as temperature and humidity), ensuring the accuracy and stability of the detection process; a remote monitoring module supports wireless data transmission and remote access, and can be used to view the detection results in real time through a mobile terminal application or a computer terminal, meeting the needs of users for remote monitoring and data storage; a data storage module supports cloud storage and historical data management; an intelligent algorithm processing unit is used to adaptively optimize the detection parameters, improve the detection accuracy and stability. The sample bin 7 is used to store the liquor to be tested to ensure stable transmission of the light beam; and the sample bin track 6 is used to ensure that the sample bin 7 can be stably fed into the detection area.

[0012] In view of the strong subjectivity and low efficiency of the detection results caused by the sensory evaluation and chemical analysis methods in the prior art, the high-precision spectral analyzer and the CCD camera are adopted to improve the collection accuracy of the light scattering signal, and high-precision detection of the liquor age is realized; the light scattering characteristics are deeply learned and compared by combining the artificial intelligence algorithm and the big data analysis technology, and the problem of unstable detection results in the traditional method is solved; in addition, the device also supports multiple detection modes and remote monitoring functions, and meets the needs of different application scenarios.

[0013] The one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0014] 1. The high-precision spectral analyzer and the CCD camera are adopted to improve the collection accuracy of the light scattering signal, so as to realize high-precision detection of the liquor age.

[0015] 2. The automatic calibration unit and the photosensitive sensor are matched, the change of the light source wavelength and intensity is monitored in real time through the built-in photosensitive sensor, the light source output parameter is automatically adjusted according to the environmental conditions (such as temperature and humidity), the precision and stability of the detection process are ensured, the influence of environmental factors on the detection results is effectively reduced, and the device can maintain the best working state under different environmental conditions.

[0016] 3. The light scattering characteristics are deeply learned and compared by combining the artificial intelligence algorithm and the big data analysis technology, the subjectivity problem of the traditional sensory evaluation and chemical analysis is solved, and the stability and consistency of the detection are improved.

[0017] 4. The device has remote monitoring and data storage functions, supports cloud data management and historical data traceability, effectively solves the technical problems of lacking remote monitoring and data storage functions, improves the traceability of the detection data, and meets the needs of market supervision, distilleries and collectors.

[0018] 5. The device supports multiple detection modes, including fast detection mode, fine detection mode and batch detection mode, to adapt to different application scenarios, effectively solve the technical problem that the existing devices cannot provide real-time correction mechanism due to the influence of environmental factors (such as temperature and humidity change) on the detection results, and improve the detection efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 It is an internal structure explosion schematic diagram of the embodiments of the present application, which shows the core modules of the device (including the light source module 2, the optical detection module 5, etc.) and the connection mode thereof, and is used to illustrate the technical solutions of the present application.

[0020] Figure 2The external overall perspective structure schematic diagram of the embodiment of the present application is used to illustrate the overall appearance and positional relationship of the device.

[0021] The number of elements in the figure is explained: 1-display module; 2-light source module; 3-power module; 4-data processing module; 5-optical detection module; 6-sample bin track; 7-sample bin.

[0022] The above figures are all embodiment figures of the present application and do not include prior art figures.

[0023] The present patent does not provide prior art figures, and the content of the prior art has been described in detail in the 'background' section of the specification. DETAILED DESCRIPTION

[0024] The present application aims to solve the problems of strong subjectivity, low efficiency, insufficient precision, and difficulty in data traceability in the process of identifying the age of baijiu, which are caused by relying on sensory evaluation and chemical analysis methods. To this end, the present application provides a baijiu age identification device based on the Tyndall effect, which uses a high-precision spectrometer, a CCD camera, and an intelligent data processing algorithm, combined with remote monitoring and data storage functions, to realize rapid, non-destructive, and high-precision age identification of baijiu samples. By analyzing the light scattering characteristics through intelligent algorithms and comparing them with the standard database, the device can accurately calculate the storage age of baijiu and provide trend analysis, improving the scientificity and traceability of the detection.

[0025] The Tyndall effect refers to the phenomenon that when a light beam passes through a medium containing colloidal particles, the light beam is scattered to form a visible light path. During the storage of baijiu in different years, the distribution and concentration of colloidal particles change, resulting in changes in light scattering characteristics. The present application uses a high-precision optical detection module 5 to collect scattering light characteristics and combines a data processing module 4 to analyze the Tyndall effect characteristic parameters, accurately calculating the storage age of baijiu.

[0026] In order to better understand the above technical solution, the above technical solution will be described in detail in combination with the drawings in the specification and the specific embodiments.

[0027] Embodiment one

[0028] The embodiment provides a liquor age identification device based on the Tyndall effect, comprising a display module 1, a light source module 2, a power module 3, a data processing module 4, an optical detection module 5, a sample bin track 6 and a sample bin 7. The device irradiates a liquor sample with a light beam of a specific wavelength emitted by the light source module 2, the light beam is transmitted through the sample bin 7, the Tyndall effect is generated under the action of colloidal particles in the sample, the scattering light characteristics are collected by the optical detection module 5 and converted into an electrical signal, and the electrical signal is transmitted to the data processing module 4 for analysis. The data processing module 4 analyzes the light scattering characteristics by using an artificial intelligence algorithm (such as a convolutional neural network or multivariate regression analysis) and extracts optical parameters. The specific process comprises the following steps: 1) receiving an image signal generated by a CCD camera of the optical detection module (5) and performing pretreatments such as denoising and background subtraction; 2) a software algorithm extracts key optical parameters closely related to the aging time of the liquor from the pretreated image. In the embodiment, the optical parameters specifically comprise: parameter one: 90-degree scattering light intensity (I 90 ). The algorithm calculates the average gray value of a specific region in the scattering light cone image as a measure of I 90 . Both theory and experiment show that with the increase of the aging years, the size and concentration of colloidal particles formed by the association of macromolecular esters and other substances in the liquor increase, resulting in a regular nonlinear increase of I 90 . Parameter two: scattering light spot area (A). The algorithm calculates the effective area of the scattering light spot on the CCD target surface through edge detection and image segmentation. The longer the age of the liquor, the stronger the scattering effect, and the larger the light spot area; 3) the optical parameters output by the model are compared with a standard database to calculate the age information of the liquor. The detection data can be transmitted to a terminal device in real time through a remote monitoring unit in the data processing module 4, so that the data can be remotely viewed and managed. The data storage module supports cloud storage and local storage, ensuring that historical data can be traced.

[0029] The technical solutions in the above embodiments of the application have at least the following technical effects or advantages:

[0030] The light scattering characteristics are deeply learned and compared by combining the artificial intelligence algorithm and the big data analysis technology, so that the accuracy and consistency of the age identification are improved.

[0031] The device supports remote monitoring and data storage functions, can realize data transmission, storage and tracing through a wireless network, and meets the needs of market supervision, distilleries and collectors.

[0032] The data storage module of the device supports cloud management, can store historical data, and has data analysis and trend prediction functions, thereby optimizing liquor quality control.

[0033] Embodiment two

[0034] In this embodiment, the light source module 2 adopts a tunable wavelength monochromatic laser to optimize the detection effect of different types of liquor samples. The optical detection module 5 adds multiple photoelectric sensors and CCD cameras, which can be set at different angles to improve the collection accuracy of light scattering signals and realize multi-angle detection. The intelligent algorithm of the data processing module 4 can adaptively adjust to different years of liquor samples to improve detection accuracy. The remote monitoring module is connected to the mobile application or computer terminal through Wi-Fi or Bluetooth, and users can view the device running status and detection results in real time. The data storage module supports local storage and cloud synchronization, automatically generates detection reports, and provides historical data retrieval function.

[0035] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0036] High-precision spectral analyzers and CCD cameras are used to improve the collection accuracy of light scattering signals and achieve accurate detection of liquor years.

[0037] Batch detection mode and different detection modes (fast detection mode, fine detection mode) are used to improve detection efficiency and adapt to different application scenarios.

[0038] Embodiment three

[0039] This embodiment further optimizes the structure of the liquor sample bin track 6, so that the sample bin 7 can be automatically pushed to the detection area, improving detection efficiency, reducing manual intervention, and making the detection process more automated and standardized. The sample bin 7 is made of optically transparent material to ensure stable transmission of light beams, improve optical detection accuracy, reduce optical errors caused by material unevenness, and improve data consistency and detection accuracy. In addition, this optimized structure enables the device to adapt to different types of liquor sample detection, enhancing the versatility and adaptability of the device.

[0040] Embodiment four

[0041] In this embodiment, the light source module 2 adopts a tunable wavelength monochromatic laser, which is set to different wavelengths (such as 405nm, 532nm, 650nm) to detect liquor samples A (strong-flavor liquor), sample B (clear-flavor liquor) and sample C (Maotai-flavor liquor). By adjusting the wavelength to optimize the collection effect of light scattering signals, the detection accuracy of different types of liquor is improved.

[0042] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0043] Improve detection efficiency, reduce manual intervention, and realize automation and standardization.

[0044] Optimized optical detection, ensuring stable transmission of light beams, reducing errors caused by material unevenness.

[0045] Enhanced device versatility, suitable for different types of Chinese liquor sample detection.

[0046] Example Five

[0047] This embodiment provides a variant suitable for large-scale quality control in distilleries or high-throughput screening in research institutions. The main difference lies in the sample processing method and automation process. The sample bin (7) and sample bin track (6) are replaced by a standard 96-well microplate automatic sampling system. The samples to be tested are pre-distributed to each well of the microplate. The optical system is redesigned as a vertical light path, with the light beam shining vertically from below the microplate to the top, and the optical detection module (5) detecting from the side or above. The data processing module (4) is linked with the mechanical arm controller of the sampling system, which can move the microplate according to the preset program, sequentially and quickly, and complete the automatic detection and data recording of 96 samples within a few minutes, greatly improving the detection throughput and efficiency.

[0048] Example Six

[0049] This embodiment provides a variant for real-time quality monitoring of brewing production lines, the core of which is to achieve online continuous detection. The sample bin (7) is replaced by a flow cell structure, which is directly connected in series to the liquor delivery pipeline in the distillery. The light source module (2) and the optical detection module (5) are fixed on both sides of the flow cell, so that the Chinese liquor sample can be detected in real time while flowing on the production line. The data processing module (4) continuously collects data and calculates the age information at a set time interval, and displays the results on the monitoring screen in the central control room in real time. When the detected age data fluctuates abnormally, the system can immediately trigger an alarm to indicate that there may be a problem with the process parameters.

[0050] Example Seven

[0051] This embodiment provides a variant of the optical detection principle to expand the depth, in order to obtain more abundant sample information and make more accurate identification. The light source module (2) is replaced by a combination of a wide-spectrum light source and an acousto-optic tunable filter. This enables the device to emit monochromatic light of any specific wavelength to irradiate the sample. The optical detection module (5) is replaced by a high-sensitivity spectrometer, and a pair of polarizers is added to the optical path. The algorithm of the data processing module (4) is greatly enriched. In addition to analyzing the intensity of scattered light, the following multi-dimensional optical parameters can also be extracted and analyzed: Scattering spectrum: analyze the intensity distribution of scattered light at different wavelengths, i.e. the wavelength dependence of Rayleigh scattering or Mie scattering. Depolarization ratio: by rotating the polarizer, measure the horizontal and vertical polarization components of the scattered light, and calculate the depolarization ratio. This parameter is very sensitive to the shape of colloidal particles (spherical or non-spherical). Fluorescence spectrum: some substances in the liquor will produce fluorescence under excitation at a specific wavelength. This fluorescence spectrum can be used as auxiliary fingerprint information for age identification.

[0052] Eighth Embodiment

[0053] This embodiment provides a portable device scheme for on-site rapid identification in market inspection, auction houses or collectors. The structure of the entire device is designed to be handheld, powered by the built-in lithium battery power module (3). The light source module (2) and the optical detection module (5) are highly integrated at the end of a fiber probe. The probe is connected to the processor and light source of the handheld host through an optical fiber bundle. During detection, the operator does not need to extract the sample, but directly inserts the immersion fiber probe into the wine bottle or jar to be tested. The fiber guides the excitation light into the liquor and returns the scattered light signal to the host for analysis. The display module (1) is a small OLED screen that directly displays the identification results on the handheld device. At the same time, through the built-in Bluetooth module, detailed data can be sent to the mobile phone APP.

[0054] Those skilled in the art will appreciate that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

Claims

1. A device for identifying the age of baijiu based on the Dillard effect, characterized in that, The device also includes: a light source module (2) configured to emit a light beam to a detection area where a liquor sample to be detected is located; an optical detection module (5), arranged on the scattered light path of the light beam, for detecting the scattered light generated by the liquor sample to be tested and generating a corresponding detection signal; and A data processing module (4) is signal-connected to the optical detection module (5) and is configured to determine the year information of the liquor sample to be tested based on the detection signal and according to the Tyndall effect principle.

2. The apparatus of claim 1, wherein, The detection area is composed of one of the following: a detachable sample chamber (7) for accommodating a liquor sample to be tested; a well of a microplate for high-throughput screening; a flow cell for online monitoring; or a detection area defined by an immersed optical fiber probe.

3. The device according to claim 1, characterized in that The light source module (2) includes one of the following or a combination thereof: a monochromatic laser, an LED light source, or a broadband light source and a wavelength selection unit.

4. The apparatus of claim 1, wherein, The optical detection module (5) includes one of the following or a combination thereof: an image sensor (such as a CCD camera), a photodiode sensor, or a spectrometer.

5. The apparatus of claim 1, wherein, The optical parameter represented by the detection signal includes at least one of the following: intensity of scattered light, angular distribution of scattered light, scattered spectrum, or polarization state of scattered light.

6. The apparatus of claim 1, wherein, The data processing module (4) is configured to use an artificial intelligence algorithm to compare the characteristics of the detection signal with a standard database to determine the year information.

7. The apparatus of claim 1, wherein, The device also includes an automatic calibration unit, which is configured to automatically correct the output of the light source module (2) or the reading of the optical detection module (5) according to environmental parameters.

8. The apparatus of claim 1, wherein, The device also includes an automatic conveying module, which is configured to automatically convey the liquor sample to be tested or the container containing the sample to the testing area.

9. The apparatus of claim 1, wherein, The device is constructed in one of the following forms: a desktop device; or a handheld device powered by a built-in power module (3); and the data processing module (4) also includes a remote monitoring module for sending the year information to a remote terminal.

10. The apparatus of claim 1, wherein, The device further comprises a user interface module (1) for displaying the year information; and the data processing module (4) further comprises a data storage module for storing historical detection data and supporting data traceability.

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