Dynamic calculation method and system for use amount of fermented grain mixture

Abstract

The invention mainly relates to the technical field of intelligent brewing. The invention provides a method and a system for dynamically calculating the use amount of a fermented grain mixed material, and aims to more accurately calculate the use amount of grain moistening water and the addition amount of rice husks of fermented grains in different fermentation states and measure the acidity and the moisture content of the currently transferred fermented grains through an established fermented grain physicochemical property measurement model. Measuring the volume of the currently transferred fermented grains based on the established fermented grain volume measurement model; based on the acidity, the moisture and the volume of the currently transferred fermented grains, calculating the usage amount of grain moistening water and the usage amount of rice husks of the currently transferred fermented grains, and calculating the total usage amount of grain moistening water and the usage amount of rice husks according to the usage amount of grain moistening water and the usage amount of rice husks of the currently transferred fermented grains; according to the method, the adding amount of the grain moistening water and the rice husks can be dynamically calculated according to the fermented grain fermentation conditions of different seasons, different cellar layers and different fermentation states, dependence on artificial experience is not needed, the accuracy and standardization degree of the using amount of the grain moistening water and the rice husks can be improved, and then the white spirit brewing quality can be improved.

Description

Technical Field

[0001] The present invention mainly relates to the field of intelligent brewing technology, and in particular to a method and system for dynamically calculating the amount of a mash mixture material. Background Art

[0002] Batching is one of the important processes in liquor production. The batching results directly affect the growth and reproduction of microorganisms, and thus affect the quality of liquor. Luzhou-flavor liquor is a closed fermentation. Before the mash enters the cellar, the batching parameters need to be adjusted layer by layer according to different seasons and cellar layers. At the same time, the moisture content of the mash entering the cellar needs to be increased in summer, and the starch content needs to be increased in winter. The moisture content of the mash in the upper layer needs to be increased. At present, the dosage of ingredients in liquor still mainly relies on manual sensory evaluation. It is impossible to batch ingredients specifically for mash in different cellar layers and different fermentation states, and the requirements for operators are high. There are problems such as large differences in operator experience, low production efficiency, and large fluctuations in yield and quality. Therefore, it is urgent to invent a standardized batching method that can be applied to mash in multiple seasons and multiple cellar layers to achieve precise and intelligent batching of liquor. Summary of the invention

[0003] Technical Problems to be Solved by the Invention

[0004] Provided are a method and system for dynamically calculating the amount of mash mixture material used, aiming to specifically calculate the amount of water used to moisten the grain and the amount of rice husk added to mash in different fermentation states.

[0005] The technical solution adopted by the present invention to solve the above technical problems

[0006] In one aspect, the present invention provides a method for dynamically calculating the amount of a fermented grains mixture material, comprising:

[0007] The fermented mash is transferred from the cellar in batches according to the set weight, and the acidity S of the mash currently being transferred is measured based on the established mash physicochemical property detection model. Z and moisture content W Z , based on the established mash volume measurement model, calculate the current transported mash volume V Z ;

[0008] Based on the acidity S of the currently transported mash Z , moisture content W Z and the volume of fermented grains V Z Calculate the amount of water required to moisten the mash currently being transported: M W =aV Z S Z -bV Z W Z +dV Z +C1 and rice husk dosage: M K =eV Z SZ +fV Z W Z -gV Z +C2; where a, b, d, e, f, g, C1 and C2 are all constants;

[0009] The amount of water used to moisten the mash in a single transfer based on calculations M W and rice husk dosage M K Calculate the total amount of water and rice husk required for the fermented mash and execute the batching procedure.

[0010] Furthermore, a measurement model for the physicochemical properties of mash was established based on infrared spectroscopy.

[0011] Furthermore, the mash volume measurement model scans the stacking shape of the mash to obtain the stacking shape parameters of the mash, obtains multiple cross-sectional parameters of the mash stacking shape based on the stacking shape parameters of the mash, and determines the volume of the mash based on the shape parameters of the container containing the mash and the multiple cross-sectional parameters.

[0012] Furthermore, the method further comprises: measuring the acidity S of the mixture after adding the grain moistening water and the rice husk. Z1 and moisture content W Z1 If the acidity S Z1 Or moisture content W Z1 If the acidity and moisture content are beyond the set range, the measured acidity S Z1 and moisture content W Z1 If the value exceeds the set range, add moisture water or rice husk again until the acidity and moisture content of the mixed material reach the set range.

[0013] On the other hand, the present invention also provides a system for dynamically calculating the amount of a mash mixed material, which is used to implement the above-mentioned method for dynamically calculating the amount of a mash mixed material, comprising: a weighing mechanism, a mash lowering equipment bracket, a loading hopper, a mash hopper positioning pin, a mash lowering chain plate, an infrared spectrum detection device, a laser radar scanner, a transmission structure, a loading hopper, and a PLC control system; the PLC control system stores a mash volume measurement model, a mash physical and chemical property detection model, and a mash mixed material calculation model; the weighing mechanism, the infrared spectrum detection device, the laser radar scanner, the transmission structure, and the loading hopper door opening structure are all connected to the PLC control system;

[0014] The unloading equipment support is arranged above the unloading hopper, and the loading hopper is arranged on the unloading equipment support. When the unloading hopper reaches under the unloading equipment support, the PLC control system opens the door structure at the bottom of the loading hopper through the transmission mechanism, and starts the unloading chain plate to transport the unloading grains in the loading hopper to the unloading hopper. During the unloading process of the unloading grains, the infrared spectrum detection equipment and the laser radar scanner respectively measure the infrared spectrum and the stacking shape of the unloading grains in the unloading hopper. The unloading grains physical and chemical property detection model outputs the acidity S of the unloading grains according to the infrared spectrum. Z and moisture content W Z The mash volume measurement model calculates the volume V of the mash according to the mash accumulation shape. Z The calculation model of the mash mixture material is based on the acidity S of the mash. Z , moisture content W Z and volume V Z Calculate the amount of water and rice husk required for moistening the mash of a set weight respectively.

[0015] Furthermore, the lower hopper is trapezoidal, and the volume calculation model of the mash is (a1×a2+b1×b2+(a1×a2×b1×b2^0.5)×H / 3, wherein b1, b2, b3, and b4 are the lengths of the sides of the upper surface of the mash in the lower hopper, a1, a2, a3, and a4 are the lengths of the sides of the bottom of the lower hopper, and H is the length from the upper surface of the mash to the bottom of the trapezoidal lower hopper.

[0016] Furthermore, the specific method of calculating the amount of water used for moistening grains by the mash mixture material calculation model is: W =aV Z S Z -bV Z W Z +dV Z +C1, where a, b, d, and C1 are all constants.

[0017] Furthermore, the specific method of calculating the amount of rice husk used by the fermented grains mixture material calculation model is as follows: K =eV Z S Z +fV Z W Z -gV Z +C2, where e, f, g, and C2 are all constants.

[0018] Beneficial effects of the present invention

[0019] The method for dynamically calculating the amount of a fermented mash mixture material described in the present invention can dynamically calculate the amount of moistening water and rice husk to be added according to the fermentation conditions of the fermented mash in different seasons, different cellar layers and different fermentation states through a single measurement of the mash volume and physical and chemical properties. It does not need to rely on manual experience, which not only improves the accuracy and standardization of the amount of moistening water and rice husk, but also can improve the quality of liquor brewing.

[0020] The present invention also provides a system for dynamically calculating the amount of mash mixed material, including a mash lowering equipment support, a loading hopper, a mash hopper positioning pin, a mash lowering chain plate, a loading hopper door opening structure, an infrared spectrum detection device, a laser radar scanner, a transmission structure, a loading hopper, and a PLC control system. The system can directly calculate the amount of lubricating water and rice husk used in the mash during the transportation process of the fermented mash, without changing the original brewing procedure of liquor brewing, and is easy to operate. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of a material dynamic usage calculation method according to the present invention;

[0022] Figure 2 A material usage dynamic calculation system described in an embodiment of the present invention;

[0023] 1- lower trough equipment support, 2- transmission structure, 3- loading hopper positioning pin, 4- lower trough chain plate, 5- loading hopper, 6- door opening structure, 7- laser radar scanner, 8- lower hopper. DETAILED DESCRIPTION

[0024] like Figure 1 As shown, the method for dynamically calculating the amount of mash mixture material of the present invention mainly includes the following steps.

[0025] Step S1, establish a measurement model for the physicochemical properties of fermented mash. Measure the near-infrared spectral information of fermented mash in different seasons, different cellar layers and different fermentation states in the spectral range of 4000-12000 cm-1, and determine the physicochemical properties of the fermented mash based on the near-infrared spectral information of the fermented mash, specifically including the acidity S Z , moisture content W Z , starch content, and the physicochemical properties of the mash measured by near-infrared spectroscopy and the acidity S of the mash measured manually Z , moisture content W Z The physicochemical data such as starch content are matched, and the physicochemical property measurement model of the mash is established by using SpecMC software. The established physicochemical property measurement model of the mash is trained, and the moisture content W of the mash output by the physicochemical property measurement model is converted into Z and acidity S Z The relative error of the predicted value is controlled within the allowable range.

[0026] Step S2, establishing a mash volume measurement model to measure the volume of mash at different fermentation states under the same weight. The mash volume measurement model obtains mash accumulation shape parameters by scanning the mash accumulation shape, obtains multiple cross-sectional parameters of the mash accumulation shape based on the mash accumulation shape parameters, and finally determines the volume of the mash based on the shape parameters of the container for holding the mash and the obtained multiple cross-sectional parameters.

[0027] Preferably, the specific method for obtaining the volume of the mash is: using a laser radar, a 3D camera or an AI vision camera to scan the shape of the mash accumulation, obtaining cross-sectional data of multiple accumulation shapes based on the scanned mash accumulation status, and calculating the volume of the mash based on the cross-sectional data and the shape parameters of the container for holding the mash.

[0028] Step S3: based on the acidity S of the fermented grains Z , moisture content W Z and the volume of fermented grains V Z Establish a calculation model for the mixture of fermented mash to calculate the amount of water used to moisten the mash at different fermentation states under the same weight. W =aV Z S Z -bV Z W Z +dV Z +C1 and rice husk dosage M K =eV Z S Z +fV Z W Z -gV Z +C2, where a, b, d, e, f, g, C1 and C2 are constants.

[0029] Step S4, dynamically calculating the amount of the mixed material of the fermented mash based on the established mash physicochemical property measurement model, mash volume measurement model and mash mixed material calculation model. This embodiment also provides a system for dynamically calculating the amount of mixed material of the fermented mash, which is used to dynamically calculate the amount of lubricating water and rice husk used for the fermented mash when the fermented mash is transported from the cellar. Figure 2As shown, the system for dynamically calculating the amount of mash mixed material specifically includes a mash lowering equipment support 1, a loading hopper 5, a loading hopper positioning pin 3, a mash lowering chain plate 4, a door opening structure 6, an infrared spectrum detection device, a laser radar scanner 7, a transmission structure 2, a material lowering hopper 8, and a PLC control system; the PLC control system stores an established mash volume measurement model, a mash physical and chemical property measurement model, and a mash mixed material calculation model; the weighing mechanism, the infrared spectrum detection device, the laser radar scanner 7, the transmission structure 2, and the door opening structure 6 are all connected to the PLC control system; the mash lowering equipment support The rack 1 is arranged above the lower hopper 8, and the loading hopper 5 is arranged on the lower lees equipment bracket 1. When the loading hopper 5 reaches the unloading position of the lower lees equipment bracket 1, the PLC control system opens the door opening structure 6 at the bottom of the loading hopper 5 through the transmission mechanism 2, and starts the lower lees chain plate 4 to transport the mash in the loading hopper 5 to the lower lees 8. During the unloading process of the mash, the infrared spectrum detection equipment and the laser radar scanner 7 respectively measure the infrared spectrum and the stacking shape of the mash in the lower hopper 8, and the mash physical and chemical property measurement model in the PLC control system outputs the S of the mash according to the detection result of the infrared spectrum detection equipment. Z and moisture content W Z The mash volume measurement model measures the volume V of the mash according to the mash accumulation shape parameters scanned by the laser radar scanner 7. Z The calculation model of the mash mixture material is based on the acidity S of the mash. Z , moisture content W Z and volume V Z Calculate the amount of water and rice husk required for moistening the mash of a set weight respectively.

[0030] In this embodiment, the lower hopper 8 is a trapezoid, and the lengths of the four sides of the lower bottom surface of the lower hopper 8 are a1, a2, a3, and a4 respectively. The four sides of the upper surface of the middle mash in the lower hopper 8 are b1, b2, b3, and b4 respectively. The length from the upper surface of the mash to the bottom surface of the trapezoidal lower hopper 8 is H, and the volume of the mash is V0=(S1+S2+(S1×S2^0.5)×H / 3=(a1×a2+b1×b2+(a1×a2×b1×b2^0.5)×H / 3. In this embodiment, 100 groups of mash volumes during transportation were measured based on the mash volume measurement model, and compared with the actual volume. Table 1 shows 20 groups randomly selected. The relative error between more than 98% of the experimental groups and the actual measurement results is ≤±3%. The established mash volume measurement model has a high credibility for the mash volume measurement results.

[0031] Table 1

[0032]

[0033]

[0034] Step S5, the PLC control system executes the mixing procedure according to the amount of water for moistening grains and the amount of rice husks calculated by the calculation model for the mash mixture.

[0035] Step S6: After adding moisture water and rice husk to the fermented grains according to the calculation results of the fermented grains mixed material calculation model, the fermented grains physical and chemical property measurement model detects the moisture content M of the mixed material. Z1 , acidity S Z1 , and the moisture content M Z1 , acidity S Z1 With the optimum moisture content M Z0 , Optimum acidity S Z0 After mixing, the physical and chemical index M Z1 , S Z1 In M Z0 , S Z0 Within the range, the dynamic calculation system of the amount of mash mixture material is accurate in the amount of water used to moisten the grain and the amount of rice husk used. Z1 , S Z1 In M Z0 , S Z0 The error of the grain water and rice husk calculated by the dynamic calculation system for the amount of mash mixed material does not meet the batching requirements. The PLC control system feeds back the error signal, suspends the process and issues an alarm. The batching is manually taken over, and the weight of the ingredients is added according to the error value and the materials are remixed. After manual correction, the mash physical and chemical property measurement model collects the moisture content M of the mixed material again. Z2 , acidity S Z2 , and the moisture content M Z2 , acidity S Z2 With the optimum moisture content M Z0 , Optimum acidity S Z0 Comparison of physical and chemical indicators, physical and chemical indicators after mixing M Z2 , S Z2 In M Z0 , S Z0 If the error is within the range, the manual correction is successful and the batching is completed. At the same time, the manually corrected batching data is input into the intelligent model to continuously optimize the batching accuracy of the model.

[0036] In this implementation, more than 100 groups of rice husk and grain moistening water usage were calculated based on the stabilized grain moistening water usage calculation model and rice husk usage model. Table 2 shows 20 groups selected randomly. The accuracy of manual evaluation of ingredients reached 95%. It can be determined that the results of grain moistening water and rice husk usage calculated by the dynamic calculation system for the mash fry mixture material usage described in the present invention are reliable.

[0037] Table 2

[0038]

[0039]

Claims

1. A method for dynamically calculating the amount of mash mixture material, characterized in that: include: The fermented mash is transferred from the cellar in batches according to the set weight, and the acidity S of the mash currently being transferred is measured based on the established mash physicochemical property detection model. Z and moisture content W Z , based on the established mash volume measurement model, calculate the current transported mash volume V Z ; Based on the acidity S of the currently transported mash Z , moisture content W Z and the volume of fermented grains V Z Calculate the amount of water required to moisten the mash currently being transported: M W =aV Z S Z -bV Z W Z +dV Z +C1 and rice husk dosage: M K =eV Z S Z +fV Z W Z -gV Z +C2; where a, b, d, e, f, g, C1 and C2 are all constants; The amount of water used to moisten the mash in a single transfer based on calculations M W and rice husk dosage M K After calculating the total amount of water required to moisten the fermented mash and the amount of rice husk required, execute the batching procedure.

2. The method for dynamically calculating the amount of fermented grains mixture according to claim 1, characterized in that: A detection model for the physical and chemical properties of mash was established based on infrared spectroscopy.

3. The method for dynamically calculating the amount of fermented grains mixture according to claim 1, characterized in that: The mash volume measurement model scans the stacking shape of the mash to obtain the stacking shape parameters of the mash, obtains multiple cross-sectional parameters of the mash stacking shape based on the stacking shape parameters of the mash, and determines the volume of the mash based on the shape parameters of the container containing the mash and the multiple cross-sectional parameters.

4. A method for dynamically calculating the amount of a fermented grains mixture according to any one of claims 1 to 3, further comprising: Measuring the acidity S of the mixture after adding moistening water and rice husk Z1 and moisture content W Z1 If the acidity S Z1 Or moisture content W Z1 If the acidity and moisture content are beyond the set range, the measured acidity S Z1 and moisture content W Z1 If the value exceeds the set range, add moisture water or rice husk again until the acidity and moisture content of the mixed material reach the set range.

5. A system for dynamically calculating the amount of a fermented grains mixture material, which implements the method for dynamically calculating the amount of a fermented grains mixture material according to any one of claims 1 to 4, characterized in that: include: Weighing mechanism, unloading equipment support, loading hopper, unloading hopper positioning pin, unloading chain plate, infrared spectrum detection equipment, laser radar scanner, transmission structure, unloading hopper, PLC control system; the PLC control system stores a unloading mash volume measurement model, unloading mash physical and chemical property detection model and unloading mash mixed material calculation model; the weighing mechanism, infrared spectrum detection equipment, laser radar scanner, transmission structure and loading hopper door opening structure are all connected to the PLC control system; The unloading equipment support is arranged above the unloading hopper, and the loading hopper is arranged on the unloading equipment support. When the unloading hopper reaches under the unloading equipment support, the PLC control system opens the door structure at the bottom of the loading hopper through the transmission mechanism, and starts the unloading chain plate to transport the unloading grains in the loading hopper to the unloading hopper. During the unloading process of the unloading grains, the infrared spectrum detection equipment and the laser radar scanner respectively measure the infrared spectrum and the stacking shape of the unloading grains in the unloading hopper. The unloading grains physical and chemical property detection model outputs the acidity S of the unloading grains according to the infrared spectrum. Z and moisture content W Z The mash volume measurement model calculates the volume V of the mash according to the mash accumulation shape. Z The calculation model of the mash mixture material is based on the acidity S of the mash. Z , moisture content W Z and volume V Z Calculate the amount of water and rice husk required for moistening the mash of a set weight respectively.

6. The system for dynamically calculating the amount of fermented grains mixture according to claim 5, characterized in that: The lower hopper is trapezoidal, and the volume calculation model of the mash is (a1×a2+b1×b2+(a1×a2×b1×b2^0.5)×H / 3, wherein b1, b2, b3, and b4 are the lengths of the sides of the upper surface of the mash in the lower hopper, a1, a2, a3, and a4 are the lengths of the sides of the bottom of the lower hopper, and H is the length from the upper surface of the mash to the bottom of the trapezoidal lower hopper.

7. The system for dynamically calculating the amount of fermented grains mixture according to claim 5, characterized in that: The specific method of calculating the amount of water used for moistening grains by the calculation model for the mixture of fermented grains is: W =aV Z S Z -bV Z W Z +dV Z +C1, where a, b, d, and C1 are all constants.

8. The system for dynamically calculating the amount of fermented grains mixture according to claim 5, characterized in that: The specific method of calculating the amount of rice husk used by the fermented grains mixture calculation model is: K =eV Z S Z +fV Z W Z -gV Z +C2, where e, f, g, and C2 are all constants.

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