Solid state fermentation process online detection system and detection method

Abstract

The invention relates to the technical field of fermentation product detection, and particularly provides an online detection system and detection method for a solid-state fermentation process. The solid state fermentation process online detection system comprises a sampler, a light source, a receiving piece, a spectrograph, a spectrum processing module, a data distribution module and a terminal platform. The sampler comprises a sampling main body and a sampling window, and the sampling window is arranged in a fermentation product through the sampling main body during detection; the light source emits incident detection light and irradiates the sampling area of the fermentation product through the sampling window; the receiving piece receives the reflected detection light of the sampling area through the sampling window, and the spectrograph is connected with the receiving piece and used for analyzing the reflected detection light and outputting spectral information; the spectrum processing module is connected with the spectrograph and is used for processing spectrum information and outputting spectrum data; the data distribution module is connected with the spectrum processing module and wirelessly transmits the spectrum data to the terminal platform; and the terminal platform outputs a detection result according to the spectral data. According to the invention, online detection can be realized, and the detection requirement of the whole fermentation period is met.

Description

Technical Field

[0001] The invention relates to the technical field of fermentation product detection, and in particular to an online detection system and a detection method for a solid-state fermentation process. Background Art

[0002] Fermented food refers to a type of food that is processed and manufactured using beneficial microorganisms, including condiments such as soy sauce and vinegar, alcoholic beverages such as white wine, rice wine and wine, and fermented beverages such as yogurt.

[0003] Microbial fermentation is a complex biochemical reaction process. Real-time monitoring of various process parameters during solid-state fermentation helps to understand the growth patterns of microorganisms and optimize the production process.

[0004] When testing the fermentation process of fermented products, the existing technology requires different detection instruments to detect different parameter indicators one by one, which has low detection efficiency. At the same time, due to the high pressure inside the solid fermentation cellar, the existing detection structure is difficult to insert into the fermentation, or there is a risk of fragmentation and explosion after insertion.

[0005] Therefore, the prior art mostly performs off-line detection after sampling, and lacks a device that can perform on-line detection of the solid-state fermentation process during the entire fermentation cycle. Summary of the invention

[0006] The invention provides an online detection system and method for a solid-state fermentation process, which at least solves the problem of online detection of fermented products during a fermentation cycle.

[0007] In a first aspect, the present invention provides an online detection system for a solid-state fermentation process, which comprises: a sampler, a light source, a receiving element, a spectrometer, a spectrum processing module, a data distribution module and a terminal platform; The sampler comprises a sampling body and a sampling window arranged on the sampling body, and during detection, at least a part of the sampling body is placed inside the fermentation product, and at least a part of the sampling body immerses the sampling window inside the fermentation product; The light source is used to emit incident detection light, and the incident detection light illuminates the sampling area of ​​the fermentation product through the sampling window; The receiving element receives the reflected detection light of the sampling area through the sampling window, and the receiving element and the sampling area are respectively located on two sides of the sampling window; The spectrometer is connected to the receiving element, and is used to analyze the reflected detection light and output spectrum information; The spectrum processing module is connected to the spectrometer, and is used to process the spectrum information and output spectrum data; The data distribution module is connected to the spectrum processing module, and the data distribution module wirelessly transmits the spectrum data to the terminal platform; The terminal platform outputs the detection result according to the spectral data.

[0008] The solid-state fermentation process online detection system provided by the invention also includes a power supply control module; The power control module is connected to the light source, the spectrometer and the spectrum processing module respectively; the spectrum processing module controls the power control module to supply power to the light source at intervals; Alternatively, the power control module is connected to the spectrum processing module, the spectrum processing module is connected to the light source and the spectrometer and controls on and off; the spectrum processing module drives the light source to emit light at intervals.

[0009] The present invention provides an online detection system for a solid-state fermentation process, wherein a plurality of sampling windows are provided, and the light source is provided inside the sampler and corresponds to the sampling windows one by one; each of the light sources includes a plurality of emitters; the receiving element includes a first receiving optical fiber and a second receiving optical fiber; The emitter emits the incident detection light toward the sampling window; The first receiving optical fiber is perpendicular to the sampling window, and the transmitter is arranged around the first receiving optical fiber; the angle between the incident direction of the incident detection light and the first receiving optical fiber is greater than or equal to 15° and less than or equal to 75°; One end of the second receiving optical fiber is connected to the first receiving optical fiber through an optical fiber interface, and the other end of the second receiving optical fiber is connected to the spectrometer.

[0010] In the solid-state fermentation process online detection system provided by the present invention, the wavelengths of the incident detection lights emitted by the multiple emitters are all equal, and the wavelengths are greater than or equal to 400nm and less than or equal to 2500nm; Alternatively, the wavelengths of the incident detection light emitted by the multiple emitters are different, the maximum value of the wavelength of the light emitted by the emitters is less than or equal to 2500nm, and the minimum value of the wavelength of the light emitted by the emitters is greater than or equal to 400nm.

[0011] The present invention provides an online detection system for a solid-state fermentation process, wherein the light source is arranged outside the sampler, the sampling window is provided with one, the detection system further comprises an emitting optical fiber, the incident detection light emitted by the light source is incident on the sampling window through the emitting optical fiber; the receiving element comprises a third receiving optical fiber; One end of the transmitting optical fiber connected to the light source and one end of the third receiving optical fiber connected to the spectrometer are separately arranged; the other end of the transmitting optical fiber is coaxially arranged with the other end of the third receiving optical fiber, and the coaxially arranged end is opposite to the sampling window.

[0012] The present invention provides an online detection system for a solid-state fermentation process, wherein the light source is arranged outside the sampler, at least two sampling windows are arranged, and the detection system also includes a splitter coaxial fiber optic component, one end of the splitter coaxial fiber optic component is arranged as an emitting end corresponding to the sampling window one by one, and the other end of the splitter coaxial fiber optic component is arranged to connect the light source and the spectrometer, and the two ends are connected by a coupler.

[0013] The present invention provides an online detection system for a solid-state fermentation process, wherein the bottom of the sampling body is arranged as a wedge-shaped body, the sampling window is arranged on the side wall of the sampling body outside the wedge-shaped body, or the sampling window is arranged on one of the inclined surfaces of the wedge-shaped body.

[0014] The present invention provides an online detection system for a solid-state fermentation process, wherein the bottom of the sampling body is arranged as a cone, and the sampling window is arranged on the side wall of the sampling body in a region outside the cone.

[0015] In a second aspect, the present invention also provides an online detection method for a solid-state fermentation process, which is implemented by any of the above-mentioned online detection systems for a solid-state fermentation process; the online detection method for a solid-state fermentation process comprises the following steps: Controlling the light source to emit incident detection light, the incident detection light irradiates the sampling area of ​​the fermentation product through the sampling window, and is reflected in the sampling area to obtain reflected detection light; the reflected detection light is transmitted to the spectrometer by the receiving element; The spectrometer analyzes the output spectrum information of the reflected detection light and transmits the spectrum information to the spectrum processing module; The spectrum processing module pre-processes the spectrum information to output spectrum data, and transmits the spectrum data to the data distribution module; The data distribution module wirelessly transmits the spectral data to the terminal platform; The terminal platform obtains the detection result according to the spectral data.

[0016] The present invention provides an online detection method for a solid-state fermentation process, wherein the terminal platform obtains the detection result according to the spectral data, including: Select multiple characteristic values ​​according to the detection requirements of the fermentation process; Setting a standard fermentation group, detecting the characteristic values ​​of the standard fermentation group before and after fermentation, and using the characteristic value data array N0 as the standard characteristic value data array; Set the experimental fermentation group and the sampling time interval t, and obtain the spectrum data O, temperature data T and humidity data R of the experimental fermentation group once every time interval t during the fermentation process to obtain the experimental characteristic value data array N m [O, T, R], where m = 1, 2, 3…n, n is the number of sampling times; For the experimental characteristic value data array N m Perform data correction, select characteristic bands, and output one-dimensional spectral characteristic data X; Convert the one-dimensional spectral characteristic data X into two-dimensional spectral characteristic data S; A sample database is established according to the two-dimensionalized spectral feature data S and the standard feature value data array N0, and a data prediction model is established according to the data in the sample database; wherein the data prediction model is established by an artificial intelligence algorithm; Obtaining a test index, evaluating the prediction accuracy of the data prediction model according to the test index, optimizing the data prediction model until the prediction accuracy meets the requirement, and fixing the data prediction model; The spectral data transmitted to the terminal platform is input into the fixed data prediction model, and the prediction result output by the data prediction model is used as the detection result.

[0017] The present invention provides an online detection system and method for a solid-state fermentation process, which solves the problem that existing fermentation product detection is difficult to carry out online. The sampler can be inserted into the fermentation product to realize online detection. The modular setting and control relationship setting are used to realize the miniaturization and lightweight of the detection system, and the system has lower power consumption and strong endurance, which meets the fermentation process detection needs of the entire fermentation cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 It is a structural schematic diagram of the solid-state fermentation process online detection system in Example 3 created by the present invention combined with the power supply method in Example 6.

[0019] Figure 2 It is a structural schematic diagram of the solid-state fermentation process online detection system in Example 3 created by the present invention combined with the power supply method in Example 7.

[0020] Figure 3 It is a schematic diagram of the cross-sectional structure of the sampler inserted into the fermentation tank when the online detection system for the solid-state fermentation process in Example 3 of the present invention is combined with the sampler structure in Example 2.

[0021] Figure 4 It is a schematic diagram of the cross-sectional structure of the light source in the online detection system for the solid-state fermentation process in Example 3 created by the present invention.

[0022] Figure 5 It is a structural schematic diagram of the online detection system for the solid-state fermentation process in Example 4 created by the present invention.

[0023] Figure 6 yes Figure 5 The cross-sectional structure diagram of the sampler inserted into the fermentation tank when the solid-state fermentation process online detection system in Example 4 is combined with the sampler structure in Example 2.

[0024] Figure 7 yes Figure 5 A schematic diagram of the structure of the transmitting optical fiber, the third receiving optical fiber, the coaxial diffuse reflection optical fiber and the common end of the optical fiber assembly in the online detection system for the solid-state fermentation process in Example 4 is shown.

[0025] Figure 8 It is a schematic diagram of the cross-sectional structure of the sampler of the solid-state fermentation process online detection system in Example 1 created by the present invention being inserted into the fermentation tank.

[0026] Fig. 9 yes Figure 8 The structure diagram of the online detection system for solid-state fermentation process in Example 1 is combined with the light source position in Example 4, including the transmitting optical fiber, the third receiving optical fiber and the coaxial diffuse reflection optical fiber.

[0027] Fig.10 It is a structural schematic diagram of a sampler in an online detection system for a solid-state fermentation process in Example 2 created by the present invention.

[0028] Fig.11 It is a structural schematic diagram of the splitting coaxial optical fiber components in the online detection system of the solid-state fermentation process in Example 5 created by the present invention.

[0029] Fig.12 It is a work flow chart of the online detection system for the solid-state fermentation process of any one of Examples 1 to 7 created by the present invention.

[0030] Fig.13 It is a flow chart of an online detection method for a solid-state fermentation process in Example 8 created by the present invention.

[0031] The above drawings include the following reference numerals: 1—sampler; 11—sampling body; 12—sampling window; 13—sampling area; 2—light source; 21—transmitting optical fiber; 22—transmitter; 23—common end of optical fiber assembly; 24—spectrometric coaxial optical fiber component; 31—first receiving optical fiber; 32—second receiving optical fiber; 33—third receiving optical fiber; 34—coaxial diffuse reflection optical fiber; 4—spectrometer; 5—spectral processing module; 6—data distribution module; 7—terminal platform; 8—power control module; 9—battery. DETAILED DESCRIPTION

[0032] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0033] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0034] Unless otherwise specifically stated, the relative arrangement, numerical expressions and numerical values ​​of the parts and steps set forth in these embodiments do not limit the scope of the present application. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The technology, methods and equipment known to those of ordinary skill in the relevant art may not be discussed in detail, but in appropriate cases, the technology, methods and equipment should be considered as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, and therefore, once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0035] On the one hand, referring to Figures 1 to 12 As shown, the present application provides an online detection system for a solid-state fermentation process, which is used to detect the solid-state fermentation process. Solid-state fermentation is a fermentation method in which microorganisms ferment on a solid matrix with no or substantially no free water; gas, liquid, and solid phases coexist in the solid matrix. The detection system provided by the present application can detect liquid substances, solid substances, or solid-liquid mixtures in the solid matrix. It can be specifically applied to the solid-state fermentation process of foods such as liquor, beer, soy sauce, and vinegar, but is not limited to this.

[0036] The present application achieves lightweight and miniaturization by optimizing the module settings within the detection system; compared with existing detection devices, it consumes less power and has a longer working time, can realize online detection of the entire fermentation cycle of the fermented product, can meet various detection needs and has a high detection efficiency.

[0037] As consumers' demands for food flavor and food safety gradually increase, it is very necessary to grasp the microbial fermentation situation and predict the fermentation process through the detection of solid-state fermentation process, and then control the food quality. However, since the fermentation process has strict requirements on environmental temperature, humidity and oxygen content, and the fermentation tank usually has a certain degree of airtightness, the existing fermentation detection usually takes samples of the fermented product after fermentation reaches a certain stage, and then transfers it to the laboratory for detection. At the same time, according to the different characteristic parameters of the sample, a variety of different instruments are needed to realize the detection. The large number of instruments and the inconvenience of carrying are also one of the reasons why the existing detection methods are difficult to realize online detection.

[0038] The principle of infrared spectroscopy is based on the absorption of infrared light of a specific wavelength by molecules. When infrared light or near-infrared light is irradiated on the molecules of a substance, the molecules will selectively absorb infrared light of certain wavelengths, resulting in transitions in the vibrational and rotational energy levels of the molecules. By detecting the absorption of infrared light, the infrared absorption spectrum of the substance to be detected can be obtained; by analyzing the absorption peak wavelength, intensity and shape in the spectrum, the groups in the molecule can be determined, and then structural analysis can be performed.

[0039] The fermentation product is piled in the fermentation tank and then fermented. The inventor of this case found through research that when infrared spectroscopy is used to detect the fermentation product, the detector needs to be inserted into the solid or liquid fermentation product and irradiated with infrared light at a suitable position. Especially for solid fermentation products, since the pile has been completed and the pile density is large, the friction is large, the detector is difficult to insert, or it is easy to explode or break after insertion, so it cannot be detected.

[0040] The solid-state fermentation process online detection system provided by the present application improves the detection efficiency through the infrared spectrum detection method, overcoming many shortcomings of laboratory detection instruments. The detection system includes a sampler 1, a light source 2, a receiving element, a spectrometer 4, a spectrum processing module 5, a data distribution module 6 and a terminal platform 7. The present application overcomes the inconvenience of inserting the above-mentioned online detection scheme through the setting of the sampler 1, controls the overall power consumption of the system through the logical relationship between the modules, and prolongs the standby time.

[0041] Specifically, refer to Figure 1~Figure 3 , Figure 5 , Figure 6 and Figure 8As shown, the sampler 1 includes a sampling body 11 and a sampling window 12 arranged on the sampling body 11. During detection, the sampling window 12 is placed inside the fermentation through the sampling body 11. The bottom end of the sampling body 11 is closed, and the top end of the sampling body 11 is opened, and there is a accommodating space inside. The cross-section of the sampling body 11 can be set to be circular, square, other polygonal or irregular. The sampling body 11 is inserted into the fermentation to be detected along the length direction. Preferably, in order to better control the direction of the light source, the sampling body 11 is inserted into the fermentation in the vertical direction; at least part of the sampling body 11 is placed inside the fermentation, and the part of the sampling body 11 that is not inserted into the fermentation is used for the operator to hold or fix; a sampling window is provided at one end of the sampling body 11 inserted into the fermentation, and the sampling window is completely immersed in the fermentation during detection.

[0042] In Embodiment 1, the bottom end of the sampling body 11 is configured as a wedge-shaped body. Specifically, the bottom end of the sampling body 11 is beveled to form an inclined surface. The wedge-shaped body may be composed of two inclined surfaces at the bottom end of the sampling body 11, or, as shown in FIG. Figure 8 As shown, it is composed of an outer wall on one side of the bottom end of the sampling body 11 and a slope formed by chamfering on the other side.

[0043] In Example 2, referring to Figure 6 As shown, the difference between Example 2 and Example 1 is that the bottom of the sampling body 11 is set differently. In Example 2, the bottom of the sampling body 11 is set as a cone. Specifically, the cone is set as a pyramid composed of multiple inclined surfaces, or the cone can be set as a cone.

[0044] The narrow end or tip formed by the wedge-shaped or conical structure can reduce the contact area with the fermentation product, and the pressure is greater under the same pressure, which facilitates the insertion of the sampling body 11 into the fermentation product. In other embodiments except for embodiments 1 and 2, the bottom end of the sampling body 11 can also be set to a streamlined body, a water drop shape, a fishbone shape, or other structures that can form a tip, which can be selected according to different types of fermentation products, but is not limited thereto.

[0045] Furthermore, the sampling body 11 is preferably configured to be food-grade 316 stainless steel with molybdenum added, which has better corrosion resistance and high-temperature strength, is compatible with the fermentation environment, and has a longer service life.

[0046] Furthermore, the sampling body 11 is also provided with structures such as a handle, a ring handle, a crossbar or a mounting hole for users to hold.

[0047] Furthermore, the sampling window 12 is arranged at the bottom of the sampling body 11 for inserting the fermentation product, and is arranged to be glass with wear-resistant and pressure-resistant properties and capable of transmitting infrared light and near-infrared light. The wear-resistant and pressure-resistant properties can maintain a certain structural strength when the fermentation product is inserted, and avoid breakage or wear that affects light transmission. Preferably, the pressure range that the sampling window 12 can withstand is between 0.1MPa and 3.5MPa; the sampling window 12 can transmit light in the 400nm to 2500nm band; the shape and thickness of the sampling window 12 can be specifically determined according to the type of fermentation product and the detection position.

[0048] Next, the sampling window 12 is sealed and connected to the sampling body 11. The position of the sampling window 12 at the bottom of the sampling body 11 can be specifically determined according to the position of the sampling area 13. The sampling windows 12 at different locations can detect fermented products at different depths in the fermentation tank.

[0049] In Example 2, when the bottom end of the sampling body 11 is set as a cone, refer to Figure 6 As shown, the sampling window 12 can be arranged on the side wall of the sampling body 11 and located in the area outside the cone. In embodiment 1, when the bottom end of the sampling body 11 is set as a wedge-shaped body, the sampling window 12 can be arranged on the side wall of the sampling body 11 and located in the area outside the wedge-shaped body, or, referring to Figure 8 As shown, the sampling window 12 can also be arranged on one of the inclined surfaces used to form the wedge-shaped body. When the sampling window 12 is arranged on the side wall of the sampling body 11, the pressure it bears is smaller and the service life is longer.

[0050] Specifically, in the present application, the light source 2 is configured as a miniature light source, which is used to emit infrared light in the wavelength band of 400nm to 2500nm as incident detection light, and the incident detection light irradiates the sampling area 13 of the fermentation product through the sampling window 12. The fermentation product can be a solid fermentation product, a liquid fermentation product, or a solid-liquid mixture. The receiving element receives the reflected detection light of the sampling area 13 through the sampling window 12, and the receiving element and the sampling area 13 are respectively located on both sides of the sampling window 12.

[0051] In Example 3, the technical features in Example 3 can be combined with the bottom end of the sampling body 11 in Examples 1 and 2; in Example 3, the light source 2 is arranged in the accommodation space inside the sampler 1, and directly emits the incident detection light to the sampling window 12. The light source 2 includes a plurality of emitters 22, and the receiving element includes a first receiving optical fiber 31. The first receiving optical fiber 31 and the plurality of emitters 22 form a light source that is integrated with a transmitter and a receiver and is built into the sampler 1.

[0052] Reference Figure 4As shown, the first receiving optical fiber 31 is arranged perpendicular to the sampling window 12, and the emitter 22 is arranged around the first receiving optical fiber 31. The number of emitters 22 can be set to 4 to 6. In order to make the emitter 22 emit uniform incident detection light, multiple emitters 22 are arranged around the first receiving optical fiber 31 at equal intervals.

[0053] Multiple emitters 22 all emit incident detection light toward the sampling window 12, and the angle between the light output direction of the incident detection light emitted by the emitter 22 and the first receiving optical fiber 31 is greater than or equal to 15° and less than or equal to 75°; when the angle is too small, the light spot formed in the sampling area 13 is large and dispersed, and when the angle is too large, the light spot formed in the sampling area 13 is small; too large or too small angles will lead to inaccurate spectral data. When the power of the emitter 22 is small, the light spot concentration is higher when the angle is large to meet the detection requirements; when the power of the emitter 22 is large, the angle can be reduced to obtain a larger area of ​​the light spot.

[0054] In order to meet the incident detection light band requirement of the infrared spectrum, the wavelengths of the incident detection lights emitted by the multiple emitters 22 are all equal, and the wavelength range of the light that each emitter 22 can emit is 400nm to 2500nm.

[0055] Alternatively, the wavelength and wavelength band of the incident detection light emitted by each emitter 22 are different, the maximum wavelength of the light emitted by the emitter 22 is less than or equal to 2500nm, and the minimum wavelength of the emitted light is greater than or equal to 400nm; the wavelength range of the light emitted by each emitter 22 is a subset of the interval [400, 2500], and the union of the wavelength ranges of the light that can be emitted by all emitters 22 is [400, 2500]. When all emitters 22 emit light together, the spectrum data of the fermentation sampling area 13 in the wavelength band of 400nm to 2500nm can also be obtained.

[0056] The emitter 22 is set to be independently controlled, and the wavelength band of the incident detection light, as well as the size and intensity of the light spot irradiated to the sampling area 13 can be controlled by adjusting the light emission amount of the emitter 22, so as to adjust the incident detection light according to the detection needs and the type of fermentation product.

[0057] When the models of the emitters 22 are different and the light bands emitted are different, the power consumption is lower than that when each emitter 22 emits 400nm to 2500nm light, and being built into the sampler 1 can make the detection system as a whole lighter, achieve a miniaturized setting, and extend the standby time.

[0058] Continue, refer to Figure 1 , Figure 2 and Figure 4As shown, when the light source 2 is built into the sampler 1, the reflected detection light is received by the first receiving optical fiber 31 through the sampling window 12. The receiving component also includes a second receiving optical fiber 32, one end of the second receiving optical fiber 32 is connected to the first receiving optical fiber 31 through an optical fiber interface, and the other end of the second receiving optical fiber 32 is connected to the spectrometer 4. The second receiving optical fiber 32 is used to transmit the reflected detection light to the spectrometer 4.

[0059] The built-in light source 2 can avoid setting up too many optical fibers for transmission, reduce the number of optical fiber components, and help control power consumption and installation costs.

[0060] In the fourth embodiment, the difference between the fourth embodiment and the third embodiment is only the position of the light source 2 and the emission mode of the incident detection light. Figure 5 As shown, the light source 2 can also be located outside the sampler 1 as an external light source, or the light source 2 is inside the sampler 1 and indirectly transmits the incident detection light to the sampling window 12 through an optical fiber. In this case, the light source 2 can be set as a halogen lamp, a thermal light source, a deuterium lamp, etc., but is not limited thereto; the light source 2 cooperates with the transmitting optical fiber 21 to achieve the incidence.

[0061] The incident detection light emitted by the light source 2 enters the sampling window 12 through the transmitting optical fiber 21, and is irradiated onto the sampling area 13 through the sampling window 12. The receiving component includes a third receiving optical fiber 33. In Example 4, the transmitting optical fiber 21 and the third receiving optical fiber 33 are coaxially arranged at one end close to the sampling window 12 to obtain a coaxial diffuse reflection optical fiber 34, forming a "Y"-shaped structure. The transmitting optical fiber 21 is set as a multi-core optical fiber, and the third receiving optical fiber 33 is set as a single-core optical fiber; the lower end of the "Y"-shaped optical fiber is a coaxial diffuse reflection optical fiber 34 obtained by coaxially combining the transmitting optical fiber 21 and the third receiving optical fiber 33, wherein the multi-core optical fiber is arranged on the periphery of the single-core optical fiber; one side of the upper end of the "Y"-shaped optical fiber is connected to the light source 2 for emission, and the other side of the third receiving optical fiber 33 is connected to the spectrometer 4 for transmitting the emitted detection light.

[0062] The transmitting optical fiber 21 , the first receiving optical fiber 31 , the second receiving optical fiber 32 and the third receiving optical fiber 33 are all used for light transmission, and the optical fiber shapes are matched with the shape of the light source 2 .

[0063] It should be noted that, since the sampling window 12 is set at different positions of the sampler 1, the transmitting optical fiber 21, the first receiving optical fiber 31, the second receiving optical fiber 32 and the third receiving optical fiber 33 need to be set according to the direction of the sampling window 12. The end face of the receiving device for reflecting the detection light needs to be parallel to the sampling window 12. Take the sampler 1 inserted into the sampling window 12 in the vertical direction as an example:

[0064] If the light source 2 in Embodiment 3 directly emits incident detection light to illuminate the sampling window 12 , the first receiving optical fiber 31 is disposed perpendicular to the sampling window 12 .

[0065] If the incident detection light emitted by the light source 2 in Embodiment 4 is irradiated to the sampling window 12 through the transmitting optical fiber 21, then one end of the coaxial combination of the transmitting optical fiber 21 and the third receiving optical fiber 33 is perpendicular to the sampling window 12. Figure 6 and Figure 7 As shown, when the sampling window 12 is disposed on the side wall of the sampler 1, a common end 23 of an optical fiber assembly can be added at the lower end of the "Y"-shaped optical fiber to face the sampling window 12. Figure 8 and Fig. 9 As shown, when the sampling window 12 is disposed on the inclined surface of the wedge-shaped body of the sampler 1 , the lower end of the coaxial composite of the “Y”-shaped optical fiber can be beveled so that the cut surface is opposite to the sampling window 12 .

[0066] Specifically, the fermentation tank has a certain depth. When the sampler 1 is partially inserted, in order to meet the detection requirements of the substrate layer at different depths in the fermentation tank, in Example 5, the technical features in Example 5 can be combined with Examples 1 to 4. The sampler 1 includes a plurality of sampling windows 12, and the plurality of sampling windows 12 are located at different positions in the length direction of the sampling body 11.

[0067] Next, when the light source 2 is built into the sampler 1 and works as a transceiver, the light source 2 is also provided in multiple numbers and corresponds to the sampling windows 12 one by one, and each light source 2 is directly opposite to a sampling window 12. Preferably, the number of sampling windows 12 is set to 2 or 3. When the light source 2 is placed outside the sampler 1, one light source 2 can meet the detection requirements of multiple sampling windows 12. At this time, a splitter coaxial fiber component 24 can be provided to realize the detection light transmission. The middle part of the splitter coaxial fiber component 24 is a coupler of the optical fiber assembly, refer to Fig.11 As shown, the left end of the coupler is set as a discrete transmitting end, the end of the transmitting end is used to be opposite to the sampling window 12 and transmit the input detection light; the right end of the coupler connects the middle core of the optical fiber to the spectrometer, and connects the outer core of the optical fiber as the light source end to the light source.

[0068] Specifically, refer to Figure 1 , Figure 2 and Figure 5 As shown, the spectrometer 4 is connected to the receiving element, specifically connected to the second receiving optical fiber 32 or the third receiving optical fiber 33, and the spectrometer 4 is used to analyze the reflected detection light in the spectral dimension. In the present application, the spectrometer 4 can be set as a spectral analysis device such as a micro-grating dispersion spectrometer, a micro-nanostructure construction computational spectrometer or a metasurface computational spectrometer. The spectrometer 4 outputs the spectral information obtained by analyzing the reflected detection light and uploads it to the spectral processing module 5.

[0069] Specifically, refer to Figure 1 , Figure 2 and Figure 5As shown, the spectrum processing module 5 is connected to the spectrometer 4 , and pre-processes the spectrum information output by the spectrometer 4 , and outputs the spectrum data to the data distribution module 6 .

[0070] The spectrum processing module 5 is configured as a micro-processing module of ARM architecture or FPGA architecture. The spectrum processing module 5 can perform preprocessing of the spectrum information including but not limited to temperature spectrum correction, spectrum data baseline correction, denoising, filtering, standard normal transformation, derivation, deconvolution, absorbance processing, etc.

[0071] Specifically, refer to Figure 1 , Figure 2 and Figure 5 As shown, the data distribution module 6 is connected to the spectrum processing module 5, and transmits the spectrum data pre-processed and output by the spectrum processing module 5 to the terminal platform 7. The terminal platform 7 is a data control center and information platform, which is used for modeling and predicting spectrum data and outputting detection results.

[0072] Furthermore, the transmission mode between the data distribution module 6 and the terminal platform 7 is set to wireless transmission, and the specific wireless communication mode can be set to NB-lot, lora, 4G, 5G, etc. The wireless transmission mode can reduce the power consumption generated by the equipment deployment in the fermentation site, improve the endurance of the detection system, and enable the detection system to perform complete detection and monitoring of the fermentation product throughout the fermentation cycle. Avoid the waste of fermentation products caused by the replacement of detection components during the fermentation process.

[0073] At the same time, compared with wired networks, wireless communication methods can avoid the difficulties brought by wired laying and control laying costs.

[0074] Specifically, refer to Figure 1 , Figure 2 and Figure 5 The solid-state fermentation process detection system further includes a power control module 8 and a battery 9 , and the battery 9 is used to supply power to the light source 2 , the spectrometer 4 , the spectrum processing module 5 and the data distribution module 6 .

[0075] Furthermore, the battery 9 can be specifically configured as a lithium battery such as a ternary lithium battery, a lithium iron phosphate battery, a new solid-state battery, or a sodium ion battery. The energy density of the battery 9 is greater than or equal to 200Wh / Kg and has good thermal stability, and can provide stable power supply when applied to fermentation detection. The power control module 8 controls the management, conversion, and connection relationship of the energy of the battery 9.

[0076] In embodiment 6, the technical features in embodiment 6 can be combined with embodiments 1 to 5. Figure 1 and Figure 5In the power supply mode 1, the power control module 8 is connected to the light source 2, the spectrometer 4, the spectrum processing module 5 and the data distribution module 6 respectively for power supply. The spectrum processing module 5 also provides a control function for controlling the power control module 8 to supply power to the light source 2 at intervals, drive the light source 2 at intervals to light up, and make the light source 2 emit pulsed light.

[0077] In Example 7, the difference between Example 7 and Example 6 is only that the power supply method is different. Figure 2 and Figure 5 In the power supply mode 2, the power control module 8 can also be connected to the spectrum processing module 5 and the data distribution module 6 and supply power. The spectrum processing module 5 connects the spectrometer 4 and the light source 2, supplies power and controls the on and off thereof by power supply. The light source 2 is driven to emit pulses at intervals, and the light source 2 and the spectrometer 4 are controlled to be powered off after use, thereby reducing the energy consumption of the system.

[0078] The solid-state fermentation process detection system provided in the present application is powered by a battery 9, which is controlled by a power control module 8. The light source 2 emits incident detection light to illuminate the sampling area 13 of the fermented product, and the reflected detection light is collected, transmitted, and pre-processed to output spectral data, and then the detection result is obtained by the terminal platform 7. The system power consumption is reduced and the standby time is extended through the settings of the micro light source, micro spectrometer, and power supply control; the insertion and online detection of the fermented product are realized through the settings of the sampler 1 and the sampling window 12.

[0079] On the other hand, refer to Fig.13 As shown, Example 8 of the present application also provides an online detection method for a solid-state fermentation process, which is implemented by applying the fermentation product online detection system provided by any one of the above-mentioned Examples 1 to 7. Therefore, the online detection method includes all the technical effects of the above-mentioned online detection system. Since the technical effects of the online detection system have been described in detail above, they will not be repeated here.

[0080] This online detection method can be used to detect the fermentation process of various foods such as liquor, soy sauce, beer, wine, vinegar and fermented beverages. Quantitative detection of the main substances produced during the fermentation process can better control the fermentation process and improve the fermentation quality and fermentation flavor.

[0081] Specifically, the solid-state fermentation process online detection method comprises the following steps:

[0082] In step S1, the power control module 8 controls the battery 9 to supply power directly to the light source 2 and the spectrometer 4, or provides power to the spectrum processing module 5, which controls the light source 2 to emit incident detection light and controls the spectrometer 4 to operate.

[0083] The incident detection light is irradiated to the sampling area 13 of the fermented material through the sampling window 12, forming a light spot in the sampling area 13, and the material in the sampling area reflects to obtain reflected detection light, which is transmitted to the spectrometer 4 through the receiving element.

[0084] In step S2 , the spectrometer 4 analyzes the reflected detection light in the spectral dimension, outputs spectral information, and transmits the spectral information to the spectral processing module 5 .

[0085] Step S3 : the spectrum processing module 5 collects the spectrum information output by the spectrometer 4 .

[0086] It should be noted that the spectrum processing module 5 is preset with a spectrum information data volume threshold.

[0087] When the collected spectral information does not reach the data volume threshold, the spectral processing module 5 has not completed the collection. At this time, the spectral processing module 5 controls the light source 2 and the spectrometer 4 to continue transmitting and receiving.

[0088] The collected spectral information is checked for data anomalies, and when the amount of spectral information reaches the data volume threshold after completion, the spectral processing module 5 completes the collection of spectral information and the information collection is complete. Thereafter, the spectral information is pre-processed to output spectral data, and the spectral data is transmitted to the data distribution module 6.

[0089] Step S4: the data distribution module 6 wirelessly transmits the spectral data to the terminal platform 7 .

[0090] Step S5: the terminal platform 7 obtains the detection result according to the spectral data.

[0091] Wherein, step S5 comprises: Step S501, selecting multiple characteristic values ​​according to the detection requirements of the solid-state fermentation process; For example, when the fermentation product is liquor, the sugar content, ethanol content and ester content need to be detected during the fermentation process. When the fermentation product is soy sauce, the changes in components such as amino acids and their derivatives, sugars and their derivatives, alcohols, esters, amines and organic acids need to be detected during the fermentation process. Different fermentations and fermentation products require different characteristic substances to be detected during the fermentation process, and thus different characteristic values ​​are selected.

[0092] A standard fermentation group is set, and characteristic values ​​of the standard fermentation group before and after a complete fermentation stage are detected as a standard characteristic value data array N0.

[0093] Taking liquor fermentation as an example, the sand-making stage or sand-laying stage is a fermentation stage, and the period of a fermentation stage is between 12 and 20 days. According to industry standards, multiple samples of the standard fermentation group are selected for chemical testing to obtain a standard characteristic value data array N0.

[0094] Step S502, setting the experimental fermentation group and the sampling time interval t.

[0095] The number of sampling times n can be determined based on the total duration of the fermentation stage and the sampling time interval t. The sampling time interval t can be specifically determined based on the type of fermentation product and the fermentation stage.

[0096] During the fermentation process of the experimental fermentation group, the spectral data O of the experimental fermentation group is obtained once every time interval t, and the temperature data T and humidity data R associated with the spectral data O are obtained at the same time to obtain the experimental characteristic value data array N m [O, T, R]; where m=1, 2, 3…n.

[0097] Step S503: Calculate the experimental characteristic value data array N m After data correction, the characteristic bands are extracted through the wavelength feature selection algorithm, and the one-dimensional spectral data X is output.

[0098] Data correction includes temperature correction and / or MSC (Multiplicative Scatter Correction).

[0099] The wavelength feature selection algorithm includes a successive projection algorithm (Successive Projections Algorithm, SPA), a principal component analysis (Principal Component Analysis, PCA) and / or an uninformative variables elimination (Uninformative Variables Elimination, UVE).

[0100] Step S504, convert the one-dimensional spectrum feature data X into two-dimensional data by the following formula: S=X T *X;

[0101] Wherein, S is the two-dimensionalized spectral characteristic data. The data processing process provided in Example 8 of the present application has a smaller amount of computation and a higher result accuracy.

[0102] Step S505, establishing a sample database according to the two-dimensionalized spectral feature data S and the standard feature value data array N0, and establishing a data prediction model according to the data in the sample database; wherein the data prediction model is established by an artificial intelligence algorithm.

[0103] The artificial intelligence algorithm is set to a convolutional neural network algorithm (CNN), or other algorithms that can establish data prediction models.

[0104] Step S506, obtaining a test index through parameter quantitative inversion, and evaluating the prediction accuracy of the data prediction model according to the test index.

[0105] Among them, the test indicators include the root mean square error of cross validation (RMSECV), the root mean square error of prediction (RMSEP) and the coefficient of determination (Coefficient of Determination) of the eigenvalue prediction data and the actual value of the data prediction model. The coefficient of determination is also called the R2 score.

[0106] Adjust and optimize the data prediction model, conduct multiple neural network learning, and then repeat parameter inversion to evaluate the accuracy of the optimized data prediction model until the test indicators obtained by parameter inversion meet the prediction accuracy requirements. At this time, fix the corresponding data prediction model.

[0107] Step S507, inputting the spectral data transmitted to the terminal platform 7 in step S4 into the fixed data prediction model, and taking the prediction result output by the data prediction model as the detection result.

[0108] After step S5 is completed, the obtained detection results are uploaded to the background. After the upload is completed, the fermentation process detection of a fermentation cycle is ended, and the power control module 8 controls the battery 9 to sleep, and stops supplying power to the spectrum processing module 5, the data distribution module 6 and the terminal platform 7. When there is no detection demand, the system energy consumption is reduced and the battery life is extended.

[0109] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0110] In addition, it should be noted that the use of terms such as "first" and "second" to limit components is only for the convenience of distinguishing the corresponding components. Unless otherwise stated, the above terms have no special meaning and therefore cannot be understood as limiting the scope of protection of this application.

[0111] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A solid-state fermentation process online detection system, characterized in that: include: Sampler, light source, receiver, spectrometer, spectrum processing module, data distribution module and terminal platform; The sampler comprises a sampling body and a sampling window arranged on the sampling body, and during detection, at least a part of the sampling body is placed inside the fermentation product, and at least a part of the sampling body immerses the sampling window inside the fermentation product; The light source is used to emit incident detection light, and the incident detection light illuminates the sampling area of ​​the fermentation product through the sampling window; The receiving element receives the reflected detection light of the sampling area through the sampling window, and the receiving element and the sampling area are respectively located on two sides of the sampling window; The spectrometer is connected to the receiving element, and is used to analyze the reflected detection light and output spectrum information; The spectrum processing module is connected to the spectrometer, and is used to process the spectrum information and output spectrum data; The data distribution module is connected to the spectrum processing module, and the data distribution module wirelessly transmits the spectrum data to the terminal platform; The terminal platform outputs the detection result according to the spectral data.

2. The solid-state fermentation process online detection system according to claim 1, characterized in that: Also included is a power control module; The power control module is connected to the light source, the spectrometer and the spectrum processing module respectively; the spectrum processing module controls the power control module to supply power to the light source at intervals; Alternatively, the power control module is connected to the spectrum processing module, the spectrum processing module is connected to the light source and the spectrometer and controls on and off; the spectrum processing module drives the light source to emit light at intervals.

3. The solid-state fermentation process online detection system according to claim 1, characterized in that: There are several sampling windows, and the light sources are arranged inside the sampler and correspond to the sampling windows one by one; each of the light sources includes a plurality of emitters; the receiving element includes a first receiving optical fiber and a second receiving optical fiber; The emitter emits the incident detection light toward the sampling window; The first receiving optical fiber is perpendicular to the sampling window, and the transmitter is arranged around the first receiving optical fiber; the angle between the incident direction of the incident detection light and the first receiving optical fiber is greater than or equal to 15° and less than or equal to 75°; One end of the second receiving optical fiber is connected to the first receiving optical fiber through an optical fiber interface, and the other end of the second receiving optical fiber is connected to the spectrometer.

4. The solid-state fermentation process online detection system according to claim 3, characterized in that: The wavelengths of the incident detection lights emitted by the multiple emitters are all equal, and the wavelength is greater than or equal to 400nm and less than or equal to 2500nm; Alternatively, the wavelengths of the incident detection light emitted by the multiple emitters are different, the maximum value of the wavelength of the light emitted by the emitters is less than or equal to 2500nm, and the minimum value of the wavelength of the light emitted by the emitters is greater than or equal to 400nm.

5. The solid-state fermentation process online detection system according to claim 1, characterized in that: The light source is arranged outside the sampler, the sampling window is provided with one, the detection system further comprises a transmitting optical fiber, the incident detection light emitted by the light source is incident to the sampling window through the transmitting optical fiber; the receiving element comprises a third receiving optical fiber; One end of the transmitting optical fiber connected to the light source and one end of the third receiving optical fiber connected to the spectrometer are separately arranged; the other end of the transmitting optical fiber is coaxially arranged with the other end of the third receiving optical fiber, and the coaxially arranged end is opposite to the sampling window.

6. The solid-state fermentation process online detection system according to claim 1, characterized in that: The light source is arranged outside the sampler, and at least two sampling windows are provided. The detection system also includes a splitter coaxial fiber optic component, one end of the splitter coaxial fiber optic component is arranged as an emitting end corresponding one-to-one to the sampling window, and the other end of the splitter coaxial fiber optic component is arranged to connect the light source and the spectrometer, and the two ends are connected by a coupler.

7. The solid-state fermentation process online detection system according to claim 1, characterized in that: The bottom of the sampling body is configured as a wedge-shaped body, the sampling window is configured on a side wall of the sampling body outside the wedge-shaped body, or the sampling window is configured on one of the inclined surfaces of the wedge-shaped body.

8. The solid-state fermentation process online detection system according to claim 1, characterized in that: The bottom of the sampling body is configured as a cone, and the sampling window is configured on a side wall of the sampling body in a region outside the cone.

9. A method for online detection of a solid-state fermentation process, characterized in that: The solid-state fermentation process online detection method is implemented by the solid-state fermentation process online detection system according to any one of claims 1 to 8; the solid-state fermentation process online detection method comprises the following steps: Controlling the light source to emit incident detection light, the incident detection light irradiates the sampling area of ​​the fermentation product through the sampling window, and is reflected in the sampling area to obtain reflected detection light; the reflected detection light is transmitted to the spectrometer by the receiving element; The spectrometer analyzes the output spectrum information of the reflected detection light and transmits the spectrum information to the spectrum processing module; The spectrum processing module pre-processes the spectrum information to output spectrum data, and transmits the spectrum data to the data distribution module; The data distribution module wirelessly transmits the spectral data to the terminal platform; The terminal platform obtains the detection result according to the spectral data.

10. The on-line detection method for solid-state fermentation process according to claim 9, characterized in that: The terminal platform obtains the detection result according to the spectral data, including: Select multiple characteristic values ​​according to the detection requirements of the solid-state fermentation process; Setting a standard fermentation group, detecting the characteristic values ​​of the standard fermentation group before and after fermentation, and using the characteristic value data array N0 as the standard characteristic value data array; Set the experimental fermentation group and the sampling time interval t, and obtain the spectrum data O, temperature data T and humidity data R of the experimental fermentation group once every time interval t during the fermentation process to obtain the experimental characteristic value data array N m [O, T, R], where m = 1, 2, 3…n, n is the number of sampling times; For the experimental characteristic value data array N m Perform data correction, select characteristic bands, and output one-dimensional spectral characteristic data X; Convert the one-dimensional spectral characteristic data X into two-dimensional spectral characteristic data S; A sample database is established according to the two-dimensionalized spectral feature data S and the standard feature value data array N0, and a data prediction model is established according to the data in the sample database; wherein the data prediction model is established by an artificial intelligence algorithm; Obtaining a test index, evaluating the prediction accuracy of the data prediction model according to the test index, optimizing the data prediction model until the prediction accuracy meets the requirement, and fixing the data prediction model; The spectral data transmitted to the terminal platform is input into the fixed data prediction model, and the prediction result output by the data prediction model is used as the detection result.

Images