A kind of donkey-hide gelatin powder fermentation preparation production and processing technology

Abstract

The invention relates to the technical field of donkey-hide gelatin powder preparation and production, and discloses a fermentation preparation and production process of donkey-hide gelatin powder, including: donkey-hide gelatin production step, donkey-hide gelatin fermentation and grinding step into donkey-hide gelatin powder, fermenting donkey-hide gelatin to inactivate active substances in donkey-hide gelatin, and removing the warming property of donkey-hide gelatin. When washing donkey skin, a turbidity measurement method is used to measure the turbidity value data of the washing liquid, and the turbidity value data is retained. The turbidity measurement method can avoid accidents when taking measurement point samples and uneven distribution of impurities in the washing liquid; establish a corresponding relationship between the retained turbidity value data and the number of washing times of the donkey skin; measure the turbidity value data of the selected donkey skin washing liquid, apply the corresponding relationship, obtain the subsequent washing times from the corresponding relationship, adopt the subsequent washing strategy, if the donkey skin washing is abnormal, then the number of subsequent washing times of the donkey skin is increased proportionally, so that the donkey skin washing is more convincing.

Description

Technical Field

[0001] The invention relates to the technical field of preparation and production of donkey-hide gelatin powder, and in particular to a fermentation preparation and production process of donkey-hide gelatin powder. Background Art

[0002] Donkey-hide gelatin powder is a powder made by grinding donkey-hide gelatin blocks. It has a unique aroma and is easy to dissolve in water. It is often used to make various health teas. It is a traditional Chinese medicinal material that is rich in protein and amino acids, which helps to improve the body's blood calcium balance and promote the production of red blood cells, thereby playing a role in replenishing blood.

[0003] As an edible product, donkey hide gelatin is made from donkey hide as raw material. In order to ensure food safety and the quality of donkey hide gelatin, the cleaning of donkey hide is the most important link in the production of donkey hide gelatin. In the existing donkey hide cleaning process, most of the donkey hides are cleaned by manual visual inspection until the water is clear and qualified, but it is impossible to determine the subsequent cleaning times of the donkey hide by mechanical intelligence according to the water quality of the donkey hide washing water. The manual detection and confirmation method makes the production of donkey hide gelatin less intelligent, and the efficiency of donkey hide washing is not high. Summary of the invention

[0004] The present invention provides a fermentation preparation and processing technology for donkey-hide gelatin powder, which helps solve the problems mentioned in the above background technology.

[0005] The present invention provides the following technical solution: a fermentation preparation and production process of donkey-hide gelatin powder, comprising:

[0006] The production steps of donkey-hide gelatin are:

[0007] S1: After soaking the donkey skin, scraping and cutting it into pieces, washing the skin, blanching the skin for the first time to obtain No. 1 glue juice, blanching the skin for the second time to obtain No. 2 glue juice, blanching the skin for the third time to obtain No. 3 glue juice, mixing the No. 1 glue juice, No. 2 glue juice and No. 3 glue juice to obtain mixed glue juice, and coarsely filtering the mixed glue juice to obtain primary glue solution;

[0008] S2: extracting the primary glue juice, treating the glue head, adding auxiliary materials for vacuum concentration to obtain the final glue solution;

[0009] S3: After the final generation of glue is injected, the gelatin is cut, the glue is air-dried to control the moisture content to less than 14%, the glue is wiped, and the microbial limit is checked by sterilization to obtain qualified donkey-hide gelatin;

[0010] The steps of fermenting and grinding donkey-hide gelatin into donkey-hide gelatin powder are as follows:

[0011] S4: storing the donkey-hide gelatin in a warehouse and fermenting it in a natural environment to obtain primary fermented donkey-hide gelatin;

[0012] S5: taking out the first fermented donkey-hide gelatin and putting it into a microwave dryer for fermentation again to obtain the second fermented donkey-hide gelatin;

[0013] S6: grinding the secondary fermented donkey-hide gelatin into donkey-hide gelatin powder;

[0014] When washing donkey skin, the turbidity value data of the washing liquid is measured by a turbidity measurement method, and the turbidity value data is retained;

[0015] Establish a corresponding relationship between the retained turbidity value data and the number of times the donkey skin is washed;

[0016] Measure the turbidity value data of the selected donkey skin cleaning solution, apply the corresponding relationship, and determine the number of subsequent cleaning times;

[0017] Adopt subsequent cleaning strategy to end the cleaning of donkey skin.

[0018] Optionally, taking out the fermented donkey-hide gelatin once and putting it into a microwave dryer for fermentation again comprises:

[0019] The primary fermented donkey-hide gelatin is placed on the conveyor belt of the microwave dryer to convey the donkey-hide gelatin. The donkey-hide gelatin is conveyed on the conveyor belt at a constant speed for 40 minutes.

[0020] The once-fermented donkey-hide gelatin on the conveyor belt is irradiated by the light irradiator in the microwave dryer, and the temperature of the donkey-hide gelatin irradiated by the light irradiator is 60°C.

[0021] Optionally, the turbidity value data of the cleaning liquid is measured by a turbidity measurement method, including:

[0022] S7: select the upper cross section, the middle cross section and the lower cross section in the longitudinal direction of the cleaning liquid and record them as the upper measurement cross section, the middle measurement cross section and the lower measurement cross section respectively;

[0023] S8: Select five measuring points on each measuring section, take the cleaning liquid at the five measuring points as measuring point samples, and measure the measuring point samples with a turbidity meter to obtain sample values;

[0024] S9: Calculate the absolute value of the difference between each sample value and the other four sample values ​​on the same measurement section. Given the standard value of measurement error p,

[0025] S10: Use the measurement error standard value to normalize the sample value. If the absolute value of the difference between all sample values ​​on the same measurement section is less than the measurement error standard value p,

[0026] It is determined that the sample value is turbidity value data, otherwise, step S11 is executed.

[0027] S11: Stir the cleaning solution and repeat steps S8-S10 until each measurement section has 5 turbidity value data.

[0028] Optionally, establishing a corresponding relationship between the retained turbidity value data and the number of times the donkey skin is washed includes:

[0029] Let t be the number of times the donkey skin is washed.

[0030] Obtain turbidity thresholds, obtain the upper turbidity threshold of the cleaning solution corresponding to all cleaning times, recorded as x, the middle turbidity threshold, recorded as y, and the lower turbidity threshold, recorded as z;

[0031] Obtain the corresponding relationship. When the number of times the donkey skin is washed is t=1, the upper turbidity threshold of the washing liquid for the first washing of the donkey skin is x1, the middle turbidity threshold is y1, and the lower turbidity threshold is z1; when the number of times the donkey skin is washed is t=2, the upper turbidity threshold of the washing liquid for the second washing of the donkey skin is x2, the middle turbidity threshold is y2, and the lower turbidity threshold is z2... When the number of times the donkey skin is washed is t=n, the upper turbidity threshold of the washing liquid for the nth washing of the donkey skin is x n , the middle layer turbidity threshold is y n , the lower turbidity threshold is z n , then, we get the corresponding relationship u between the number of times the donkey skin is washed t and the upper turbidity threshold x, the corresponding relationship v between the number of times the donkey skin is washed t and the middle turbidity threshold y, and the corresponding relationship w between the number of times the donkey skin is washed t and the lower turbidity threshold z.

[0032] Optionally, obtaining the turbidity threshold includes:

[0033] Obtain the retained turbidity value data, obtain the turbidity value data set of the cleaning solution when making multiple batches of donkey-hide gelatin, and divide it into t sets according to the number of cleaning times. Each set is expressed as {a={},b={},c={},d}, a is the upper turbidity value data set, b is the middle turbidity value data set, c is the lower turbidity value data set, d is the cleaning order, and the mean of the elements in set a is calculated as the upper turbidity threshold, the mean of the elements in set b is calculated as the middle turbidity threshold, and the mean of the elements in set c is calculated as the lower turbidity threshold.

[0034] Optionally, the turbidity value data of the donkey skin cleaning solution selected by measuring is applied to determine the number of subsequent cleaning times by using the corresponding relationship, including:

[0035] The turbidity thresholds of the three measurement sections of the qualified cleaning solution are respectively called the upper qualified threshold, the middle qualified threshold and the lower qualified threshold;

[0036] Apply the corresponding relationship u, corresponding relationship v, and corresponding relationship w to calculate the subsequent washing times of the donkey skin when each upper layer turbidity threshold of the donkey skin cleaning solution reaches the upper qualified threshold, expressed as (x, m x ,o x ), x is the upper turbidity threshold, m x is the number of subsequent washings of the donkey skin, o x is the number of times the donkey skin is washed corresponding to the turbidity threshold of the upper layer;

[0037] The subsequent washing times of the donkey skin when the turbidity threshold of each middle layer of the donkey skin cleaning solution reaches the qualified threshold of the middle layer are calculated and expressed as (y,m y ,o y ), y is the middle layer turbidity threshold, m y is the number of subsequent washings of the donkey skin, o y is the number of times the donkey skin is washed corresponding to the turbidity threshold of the middle layer;

[0038] The subsequent washing times of the donkey skin when the turbidity threshold of each lower layer of the donkey skin washing solution reaches the lower qualified threshold are calculated and expressed as (z,m z ,o z ), z is the lower layer turbidity threshold, m z is the number of subsequent washings of the donkey skin, o z is the number of donkey skin washings corresponding to the turbidity threshold of the lower layer.

[0039] Optionally, obtain the total number of times the donkey skin is cleaned when making donkey-hide gelatin in multiple batches, calculate the mean, and record it as e.

[0040] Wash the donkey skin e times, obtain the washing liquid of the donkey skin, measure its turbidity value data, calculate the average of the 5 turbidity value data of the upper measurement section as the upper turbidity average, recorded as x', and the average of the 5 turbidity value data of the middle measurement section as the middle turbidity average, recorded as y'.

[0041] The average of the five turbidity values ​​of the lower measurement section is the lower turbidity average, denoted as z'. Given an interval q,

[0042] Select the upper layer turbidity threshold x within the interval q that is different from the upper layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the upper layer turbidity threshold x , number of subsequent cleanings m x ;

[0043] Select the middle layer turbidity threshold y within the interval q that is different from the middle layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the middle layer turbidity threshold y , number of subsequent cleanings m y ;

[0044] Select the lower layer turbidity threshold z within the interval q that is different from the lower layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the lower layer turbidity threshold z , number of subsequent cleanings m z ;

[0045] Then, calculate m x , m y , m z The maximum value among them is used as the subsequent cleaning times m of the donkey skin.

[0046] Optionally, the use of a subsequent cleaning strategy to end the cleaning of the donkey hide includes:

[0047] A threshold value r is set to compare the subsequent cleaning times m of the donkey skin. Different cleaning strategies are executed according to the comparison results to determine whether to end the cleaning. If the upper layer turbidity mean x' is less than or equal to the upper layer qualified threshold x, the middle layer turbidity mean y' is less than or equal to the middle layer qualified threshold y, and the lower layer turbidity mean z' is less than or equal to the lower layer qualified threshold z, then the cleaning is ended; otherwise, the subsequent cleaning times m of the donkey skin are obtained, and the actual subsequent cleaning times of the donkey skin are calculated;

[0048] If the number of subsequent cleaning times m of the donkey skin is less than or equal to the threshold value r, then the actual number of subsequent cleaning times of the donkey skin is m.

[0049] Optionally, if the number of subsequent washings m of the donkey skin is greater than a threshold r,

[0050] Then, according to the current cleaning times e of the donkey skin, the actual subsequent cleaning times of the donkey skin are calculated and recorded as h, h = e2 ÷ (em) - e; after cleaning the donkey skin h times again, determine whether the cleaning solution is qualified.

[0051] If the cleaning fluid is qualified, then the cleaning is finished;

[0052] Otherwise, the donkey hides are manually sorted to find out the cause of the problem.

[0053] The present invention has the following beneficial effects:

[0054] 1. The fermentation preparation and production process of donkey-hide gelatin powder. During the donkey-hide gelatin processing, donkey skin absorbs heat. The newly made donkey-hide gelatin contains active substances and has warming properties. The donkey-hide gelatin is fermented once in a natural environment. The donkey-hide gelatin is fermented for the first time in a natural environment at a high temperature of 35°C in summer to inactivate the active substances. The donkey-hide gelatin is fermented for the second time in a microwave dryer. The donkey-hide gelatin is irradiated by a light irradiator on a conveyor belt to remove the active substances remaining after the donkey-hide gelatin is fermented in a natural environment and remove the warming properties of the donkey-hide gelatin.

[0055] 2. The fermentation preparation and production process of donkey-hide gelatin powder uses a turbidity measurement method to measure the turbidity value data of the cleaning liquid, and uses the absolute value of the difference to standardize the sample value. When the absolute value of the difference in the sample values ​​on the same measurement section is greater than the measurement error standard, the cleaning liquid is stirred. This can avoid accidents when taking samples from the measuring points and uneven distribution of impurities in the cleaning liquid, and the measurement is more accurate.

[0056] 3. The fermentation preparation and production processing technology of donkey hide gelatin powder establishes a corresponding relationship between the retained turbidity value data and the number of times the donkey hide is washed, obtains the number of times the donkey hide is washed and the turbidity value data of each washing for multiple batches of donkey hide gelatin, classifies by the number of washings, calculates the turbidity thresholds of three measuring sections, obtains the corresponding relationship between the turbidity thresholds of three measuring sections of the washing liquid for washing the donkey hide each time and the number of washings, measures the turbidity data of the three measuring sections of the donkey hide washing liquid, finds the turbidity thresholds of the turbidity of three adjacent measuring sections in the corresponding relationship, obtains the subsequent number of washings for each measuring section, and does not need to re-test the washing liquid before all subsequent washings are completed. The subsequent number of washings obtained based on the corresponding relationship established with a large amount of data reduces the number of times the washing liquid is tested and improves the efficiency of donkey hide washing.

[0057] 4. The fermentation preparation and production processing technology of the donkey-hide gelatin powder is as follows: the turbidity mean values ​​of the three measuring sections of the donkey hide cleaning solution to be tested are calculated, the subsequent cleaning times of the three sections are obtained by applying the corresponding relationship, and the maximum value of the subsequent cleaning times is taken as the subsequent cleaning times of the donkey hide, so as to ensure that the measuring section with the highest turbidity mean value in the cleaning solution can meet the qualified standards, reduce the number of times the cleaning solution is tested, and improve the efficiency of donkey hide cleaning.

[0058] 5. In the fermentation preparation and production process of donkey-hide gelatin powder, when the calculated number of subsequent cleanings of the donkey skin cleaning solution exceeds a given threshold value r, it indicates that the dirt on the donkey skin is difficult to clean, indicating that the difficulty of cleaning the donkey skin is higher than that of conventionally cleaned donkey skin. Under the same cleaning effect, the number of conventional donkey skin cleanings is equal to the number of current donkey skin cleanings. If the current donkey skin is to be cleaned to the target cleanliness level, the number of cleanings of the donkey skin needs to be increased proportionally to ensure the cleaning effect of the donkey skin.

[0059] 6. In the production and processing technology for preparing donkey-hide gelatin powder by fermentation, when the calculated number of subsequent cleaning times of the donkey skin cleaning solution does not exceed a given threshold value r, it indicates that the difficulty level of cleaning the donkey skin is similar to that of conventionally cleaned donkey skin. Then, based on the turbidity of the cleaning solution after this donkey skin cleaning, the number of times conventional cleaning needs to be continued under this turbidity is determined, and this is used as the number of times the donkey skin needs to be subsequently cleaned. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 Schematic diagram of the distribution structure of each measuring point of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Example 1, see Figure 1 , a fermentation preparation and processing technology of donkey-hide gelatin powder, the production steps of donkey-hide gelatin are:

[0063] S1: After soaking the donkey skin, scraping and cutting it into pieces, washing the skin, blanching the skin for the first time to obtain No. 1 glue juice, blanching the skin for the second time to obtain No. 2 glue juice, blanching the skin for the third time to obtain No. 3 glue juice, mixing the No. 1 glue juice, No. 2 glue juice and No. 3 glue juice to obtain mixed glue juice, and coarsely filtering the mixed glue juice to obtain primary glue solution;

[0064] S2: extracting the primary glue juice, treating the glue head, adding auxiliary materials for vacuum concentration to obtain the final glue solution;

[0065] S3: After the final generation of glue is injected, the gelatin is cut, the glue is air-dried to control the moisture content to less than 14%, the glue is wiped, and the microbial limit is checked by sterilization to obtain qualified donkey-hide gelatin;

[0066] The steps of fermenting and grinding donkey-hide gelatin into donkey-hide gelatin powder are as follows:

[0067] S4: storing the donkey-hide gelatin in a warehouse and fermenting it in a natural environment to obtain primary fermented donkey-hide gelatin;

[0068] S5: taking out the first fermented donkey-hide gelatin and putting it into a microwave dryer for fermentation again to obtain the second fermented donkey-hide gelatin;

[0069] S6: grinding the secondary fermented donkey-hide gelatin into donkey-hide gelatin powder;

[0070] When washing donkey skin, the turbidity value data of the washing liquid is measured by the turbidity measurement method, and the turbidity value data is retained; the turbidity meter measures the degree of light scattering generated by insoluble particulate matter suspended in water or transparent liquid, and quantitatively expresses the content of suspended matter, and the measurement data is in NTU units; suspended matter refers to solid matter suspended in water, including inorganic matter, organic matter, mud, clay, microorganisms, etc. that are insoluble in water. The suspended matter in the donkey skin washing liquid includes donkey hair, donkey skin, mud, clay, microorganisms, etc.;

[0071] Establish a corresponding relationship between the retained turbidity value data and the number of times the donkey skin is washed;

[0072] Measure the turbidity value data of the selected donkey skin cleaning solution, apply the corresponding relationship, and determine the number of subsequent cleaning times;

[0073] Adopt subsequent cleaning strategy to end the cleaning of donkey skin.

[0074] The method of taking out the fermented donkey-hide gelatin once and putting it into the microwave dryer for fermentation again comprises:

[0075] The primary fermented donkey-hide gelatin is placed on the conveyor belt of the microwave dryer to convey the donkey-hide gelatin. The donkey-hide gelatin is conveyed on the conveyor belt at a constant speed for 40 minutes.

[0076] The once-fermented donkey-hide gelatin on the conveyor belt is irradiated by the light irradiator in the microwave dryer, and the temperature of the donkey-hide gelatin irradiated by the light irradiator is 60°C.

[0077] During the processing of donkey-hide gelatin, donkey skin absorbs heat. The newly made donkey-hide gelatin contains active substances with warming properties. Donkey-hide gelatin is fermented once in a natural environment and then fermented twice in a microwave dryer. Donkey-hide gelatin is fermented in a natural environment and fermented for the first time at a high temperature of 35°C in summer to inactivate the active substances. Donkey-hide gelatin is irradiated by a light irradiator on a conveyor belt to remove the active substances remaining after the donkey-hide gelatin is fermented in a natural environment and remove the warming properties of the donkey-hide gelatin.

[0078] The turbidity value data of the cleaning liquid is measured by the turbidity measurement method, including:

[0079] S7: select the upper cross section, the middle cross section and the lower cross section in the longitudinal direction of the cleaning liquid and record them as the upper measurement cross section, the middle measurement cross section and the lower measurement cross section respectively;

[0080] S8: Select five measuring points on each measuring section, take the cleaning liquid at the five measuring points as measuring point samples, and measure the measuring point samples with a turbidity meter to obtain sample values;

[0081] S9: Calculate the absolute value of the difference between each sample value and the other four sample values ​​on the same measurement section. Given the standard value of measurement error p,

[0082] S10: Use the measurement error standard value to normalize the sample value. If the absolute value of the difference between all sample values ​​on the same measurement section is less than the measurement error standard value p,

[0083] It is determined that the sample value is turbidity value data, otherwise, step S11 is executed.

[0084] S11: Stir the cleaning solution and repeat steps S8-S10 until each measurement section has 5 turbidity value data.

[0085] The turbidity value data of the cleaning liquid is measured by adopting the turbidity measurement method, and the sample value is standardized using the absolute value of the difference. When the absolute value of the difference of the sample values ​​on the same measurement section is greater than the measurement error standard, the cleaning liquid is stirred. This can avoid unexpected situations when taking samples from the measuring points and uneven distribution of impurities in the cleaning liquid, and the measurement is more accurate.

[0086] The corresponding relationship between the retained turbidity value data and the number of times the donkey skin is washed is established, including:

[0087] Let the number of times the donkey skin is washed be t, and obtain the turbidity threshold value, and obtain the upper turbidity threshold value of the washing liquid corresponding to all washing times, recorded as x, the middle turbidity threshold value, recorded as y, and the lower turbidity threshold value, recorded as z. The upper turbidity threshold value, middle turbidity threshold value and lower turbidity threshold value of the donkey skin washing liquid are the average values ​​of the turbidity of the washing liquid corresponding to each washing number calculated based on a large amount of retained turbidity value data, and can represent the turbidity of the washing liquid at each washing number.

[0088] Obtain the corresponding relationship. When the number of times the donkey skin is washed is t=1, the upper turbidity threshold of the cleaning solution for the first washing of the donkey skin is x1, the middle turbidity threshold is y1, and the lower turbidity threshold is z1; when the number of times the donkey skin is washed is t=2, the second

[0089] The upper turbidity threshold of the cleaning solution for washing donkey skin is x2, the middle turbidity threshold is y2, the lower turbidity threshold is z2... When the number of times the donkey skin is washed is t = n, the upper turbidity threshold of the cleaning solution for washing the donkey skin for the nth time is x2. n , the middle layer turbidity threshold is y n , the lower turbidity threshold is z n , then, we get the corresponding relationship u between the number of times the donkey skin is washed t and the upper turbidity threshold x, the corresponding relationship v between the number of times the donkey skin is washed t and the middle turbidity threshold y, and the corresponding relationship w between the number of times the donkey skin is washed t and the lower turbidity threshold z.

[0090] A correspondence is established between the retained turbidity value data and the number of times the donkey skin is washed, the number of times the donkey hide is washed and the turbidity value data of each wash for multiple batches of donkey hide gelatin are obtained, the data are classified by the number of washes, the turbidity thresholds of the three measuring sections are calculated, and the correspondence between the turbidity thresholds of the three measuring sections of the washing liquid for each washing of the donkey skin and the number of washes is obtained, the turbidity data of the three measuring sections of the donkey skin washing liquid are measured, the turbidity thresholds of the turbidity of the three adjacent measuring sections are found in the correspondence, the subsequent washing times of each measuring section are obtained, and there is no need to re-test the washing liquid before all subsequent washing times are completed. The subsequent washing times obtained based on the correspondence established based on a large amount of data can reduce the number of times the washing liquid is tested and improve the efficiency of donkey skin washing.

[0091] The step of obtaining the turbidity threshold comprises:

[0092] Obtain the retained turbidity value data, obtain the turbidity value data set of the cleaning solution when making multiple batches of donkey-hide gelatin, and divide it into t sets according to the number of cleaning times. Each set is expressed as {a={},b={},c={},d}, a is the upper turbidity value data set, b is the middle turbidity value data set, c is the lower turbidity value data set, d is the cleaning order, and the mean of the elements in set a is calculated as the upper turbidity threshold, the mean of the elements in set b is calculated as the middle turbidity threshold, and the mean of the elements in set c is calculated as the lower turbidity threshold.

[0093] The mean is obtained by calculating a large amount of data. Each mean represents the average level of a large amount of data. The mean is used as the average level of the turbidity value of the cleaning liquid when cleaning donkey skin. The mean obtained by a large amount of data is credible.

[0094] The turbidity value data of the donkey skin cleaning solution selected by the measurement is applied to determine the number of subsequent cleaning times by using the corresponding relationship, including:

[0095] The turbidity thresholds of the three measurement sections of the qualified cleaning solution are respectively called the upper qualified threshold, the middle qualified threshold and the lower qualified threshold;

[0096] The upper qualified threshold of the standard qualified cleaning solution is 10, the middle qualified threshold is 10, and the lower qualified threshold is 10; applying the corresponding relationship u, corresponding relationship v, and corresponding relationship w, the subsequent cleaning times of the donkey skin when each upper turbidity threshold of the donkey skin cleaning solution reaches the upper qualified threshold are calculated, expressed as (x, m x ,o x ), x is the upper turbidity threshold, m x is the number of subsequent washings of the donkey skin, o x is the number of times the donkey skin is washed corresponding to the turbidity threshold of the upper layer;

[0097] The subsequent washing times of the donkey skin when the turbidity threshold of each middle layer of the donkey skin cleaning solution reaches the qualified threshold of the middle layer are calculated and expressed as (y,m y ,o y ), y is the middle layer turbidity threshold, m y is the number of subsequent washings of the donkey skin, o y is the number of times the donkey skin is washed corresponding to the turbidity threshold of the middle layer;

[0098] The subsequent washing times of the donkey skin when the turbidity threshold of each lower layer of the donkey skin washing solution reaches the lower qualified threshold are calculated and expressed as (z,m z ,o z ), z is the lower layer turbidity threshold, m z is the number of subsequent washings of the donkey skin, o z is the number of times the donkey skin is washed corresponding to the turbidity threshold of the lower layer;

[0099] Obtain the total number of times the donkey skin is washed when making donkey-hide gelatin in multiple batches, calculate the average, and record it as e. Generally, the number of times the donkey skin is washed when making donkey-hide gelatin is 6 times, so e=6;

[0100] Wash the donkey skin e times, obtain the cleaning liquid of the donkey skin, measure its turbidity value data, calculate the average of the 5 turbidity value data of the upper measurement section as the upper turbidity average, recorded as x', and the measurement and calculation result is x'=13, the average of the 5 turbidity value data of the middle measurement section is the middle turbidity average, recorded as y', and the measurement and calculation result is y'=18,

[0101] The average of the five turbidity values ​​of the lower measurement section is the lower turbidity average, denoted as z'. The measurement and calculation result shows that z' = 25. The given interval q is used to determine the turbidity threshold value adjacent to the turbidity value of the measurement section. q is [0,5].

[0102] Select the upper layer turbidity threshold x within the interval q that is different from the upper layer turbidity mean, x = 15, and obtain the number of donkey skin washing times o corresponding to the upper layer turbidity threshold x , o x =5, number of subsequent cleanings m x =1;

[0103] Select the middle layer turbidity threshold y within the interval q that is different from the middle layer turbidity mean, y = 20, and obtain the number of donkey skin washing times o corresponding to the middle layer turbidity threshold y , o y =4, number of subsequent cleanings m y =2;

[0104] Select the lower layer turbidity threshold z within the interval q that is different from the lower layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the lower layer turbidity threshold z , o z =3, number of subsequent cleanings m z =3;

[0105] Then, calculate m x , m y , m z The maximum value among them is used as the subsequent cleaning times m of the donkey skin, where m=3.

[0106] Calculate the mean turbidity of the three measuring sections of the donkey skin cleaning liquid to be tested, apply the corresponding relationship to obtain the subsequent cleaning times of the three sections, and take the maximum value of the subsequent cleaning times as the subsequent cleaning times of the donkey skin to ensure that the measuring section with the highest turbidity mean in the cleaning liquid can meet the qualified standards, reduce the number of times the cleaning liquid is tested, and improve the efficiency of donkey skin cleaning.

[0107] The subsequent cleaning strategy is adopted to end the cleaning of the donkey skin, including:

[0108] A threshold value r is given to compare the subsequent cleaning times m of the donkey skin, and different cleaning strategies are implemented according to the comparison results. In this embodiment, r is 2 times.

[0109] Determine whether to end cleaning. If the upper layer turbidity mean x' is less than the upper layer qualified threshold x, the middle layer turbidity mean y' is less than the middle layer qualified threshold y, and the lower layer turbidity mean z' is less than the lower layer qualified threshold z, then, end cleaning;

[0110] Otherwise, obtain the number of subsequent cleaning times m of the donkey skin, and calculate the actual number of subsequent cleaning times of the donkey skin.

[0111] If the number of subsequent cleanings of the donkey skin m is less than or equal to the threshold r,

[0112] Then, the actual number of subsequent washing times of the donkey skin is m; if the number of subsequent washing times of the donkey skin m is greater than the threshold value r, then, according to the current number of washing times of the donkey skin e, the actual number of subsequent washing times of the donkey skin is calculated and recorded as h, h = e 2 ÷(em)-e,

[0113] After washing the donkey skin for h times, determine whether the cleaning solution is qualified.

[0114] If the cleaning fluid is qualified, then the cleaning is finished;

[0115] Otherwise, the donkey hides are manually sorted to find out the cause of the problem.

[0116] For example, the current subsequent cleaning times of the donkey skin is e=3, which is less than the threshold value r=2, and the actual subsequent cleaning times of the donkey skin is h=6*6÷(6-3)-6=6 times;

[0117] After washing the donkey skin for 6 more times, measure the turbidity value data of the last donkey skin washing solution, calculate the average of the 5 turbidity value data of the upper measurement section as the upper turbidity average, recorded as x', and the measurement and calculation result is x'=7, the average of the 5 turbidity value data of the middle measurement section is the middle turbidity average, recorded as y', and the measurement and calculation result is y'=8,

[0118] The average of the five turbidity values ​​of the lower measurement section is the lower turbidity average, recorded as z', and z'=9 is obtained by measurement and calculation. At this time, the upper turbidity average x'=7 is less than the upper qualified threshold x=10, the middle turbidity average y'=8 is less than the middle qualified threshold y=10, and the lower turbidity average z'=9 is less than the lower qualified threshold z=10, and the cleaning is ended;

[0119] When the calculated number of subsequent cleanings with the donkey skin cleaning solution does not exceed a given threshold r, indicating that the difficulty of cleaning the donkey skin is similar to that of conventional cleaning, then the number of times conventional cleaning needs to be continued under this turbidity is determined based on the turbidity, and this is used as the number of times the donkey skin needs to be cleaned subsequently.

[0120] When the calculated number of subsequent cleanings with the donkey skin cleaning liquid exceeds a given threshold r, it indicates that the dirt on the donkey skin is difficult to clean, indicating that the difficulty of cleaning the donkey skin is higher than that of conventionally cleaned donkey skin. Under the same cleaning effect, the number of conventional donkey skin cleanings is equal to the number of current donkey skin cleanings. If the current donkey skin is to be cleaned to the target cleanliness level, the number of cleanings of the donkey skin needs to be increased proportionally to ensure the cleaning effect of the donkey skin.

[0121] The donkey-hide gelatin production steps include:

[0122] The complete process of donkey hide production is called a batch. The weight of each batch of donkey hide is the same, and each batch of donkey hide is washed in one washing pool at the same time.

[0123] The quality of donkey hide is the same for each batch of donkey hide gelatin production, ensuring that the impurity quality of the cleaning liquid when washing the donkey hide is similar, the turbidity value data of the cleaning liquid is similar each time, and the initial value of the corresponding relationship established between the number of cleaning times and the turbidity value data is the same, and this corresponding relationship is universal.

[0124] The absolute value of the difference includes: the absolute value of the difference between two numbers.

[0125] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0126] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A fermentation production and processing technology for donkey-hide gelatin powder, characterized in that: include: The production steps of donkey-hide gelatin are: S1: After soaking the donkey skin, scraping and cutting it into pieces, washing the skin, blanching the skin for the first time to obtain No. 1 glue juice, blanching the skin for the second time to obtain No. 2 glue juice, blanching the skin for the third time to obtain No. 3 glue juice, mixing the No. 1 glue juice, No. 2 glue juice and No. 3 glue juice to obtain mixed glue juice, and coarsely filtering the mixed glue juice to obtain primary glue solution; S2: extracting the primary glue solution, treating the glue head, adding auxiliary materials for vacuum concentration to obtain the final glue solution; S3: After the final generation of glue is injected, the gelatin is cut, the glue is air-dried to control the moisture content to less than 14%, the glue is wiped, and the microbial limit is checked by sterilization to obtain qualified donkey-hide gelatin; The steps of fermenting and grinding donkey-hide gelatin into donkey-hide gelatin powder are as follows: S4: storing the donkey-hide gelatin in a warehouse and fermenting it in a natural environment to obtain primary fermented donkey-hide gelatin; S5: taking out the first fermented donkey-hide gelatin and putting it into a microwave dryer for fermentation again to obtain the second fermented donkey-hide gelatin; S6: grinding the secondary fermented donkey-hide gelatin into donkey-hide gelatin powder; When washing donkey skin, the turbidity value data of the washing liquid is measured by a turbidity measurement method, and the turbidity value data is retained; Establish a corresponding relationship between the retained turbidity value data and the number of times the donkey skin is washed; Specifically: Let t be the number of times the donkey skin is washed. Obtain turbidity thresholds, obtain the upper turbidity threshold of the cleaning solution corresponding to all cleaning times, recorded as x, the middle turbidity threshold, recorded as y, and the lower turbidity threshold, recorded as z; Obtain the corresponding relationship. When the number of times the donkey skin is washed is t=1, the upper turbidity threshold of the cleaning solution for the first washing of the donkey skin is x1, the middle turbidity threshold is y1, and the lower turbidity threshold is z1; when the number of times the donkey skin is washed is t=2, the upper turbidity threshold of the cleaning solution for the second washing of the donkey skin is x2, the middle turbidity threshold is y2, and the lower turbidity threshold is z2... When the number of times the donkey skin is washed is t=n, the upper turbidity threshold of the cleaning solution for the nth washing of the donkey skin is x n , the middle layer turbidity threshold is y n , the lower turbidity threshold is z n , then, we get the corresponding relationship u between the number of times the donkey skin is washed t and the upper turbidity threshold x, the corresponding relationship v between the number of times the donkey skin is washed t and the middle turbidity threshold y, and the corresponding relationship w between the number of times the donkey skin is washed t and the lower turbidity threshold z; The obtaining of the turbidity threshold is specifically as follows: Obtain the retained turbidity value data, obtain the turbidity value data set of the cleaning solution when making multiple batches of donkey-hide gelatin, divide it into t sets according to the number of cleaning times, each set is represented by {a={},b={},c={},d}, a is the upper turbidity value data set, b is the middle turbidity value data set, c is the lower turbidity value data set, d is the cleaning order, calculate the mean of the elements in set a as the upper turbidity threshold, calculate the mean of the elements in set b as the middle turbidity threshold, and calculate the mean of the elements in set c as the lower turbidity threshold; Measure the turbidity value data of the selected donkey skin cleaning solution, apply the corresponding relationship, and determine the number of subsequent cleaning times; Specifically: The turbidity thresholds of the three measurement sections of the qualified cleaning solution are respectively called the upper qualified threshold, the middle qualified threshold and the lower qualified threshold; Apply the corresponding relationship u, corresponding relationship v, and corresponding relationship w to calculate the subsequent washing times of the donkey skin when each upper layer turbidity threshold of the donkey skin cleaning solution reaches the upper qualified threshold, expressed as (x, m x ,o x ), x is the upper turbidity threshold, m x is the number of subsequent washings of the donkey skin, o x is the number of times the donkey skin is washed corresponding to the turbidity threshold of the upper layer; The subsequent washing times of the donkey skin when the turbidity threshold of each middle layer of the donkey skin cleaning solution reaches the qualified threshold of the middle layer are calculated and expressed as (y,m y ,o y ), y is the middle layer turbidity threshold, m y is the number of subsequent washings of the donkey skin, o y is the number of times the donkey skin is washed corresponding to the turbidity threshold of the middle layer; The subsequent washing times of the donkey skin when the turbidity threshold of each lower layer of the donkey skin cleaning solution reaches the lower qualified threshold are calculated and expressed as (z,m z ,o z ), z is the lower layer turbidity threshold, m z is the number of subsequent washings of the donkey skin, o z is the number of times the donkey skin is washed corresponding to the turbidity threshold of the lower layer; Obtain the total number of times the donkey skin is cleaned when making donkey-hide gelatin in multiple batches, calculate the mean, and record it as e. Wash the donkey skin e times, obtain the cleaning liquid of the donkey skin, measure its turbidity value data, calculate the average of the 5 turbidity value data of the upper measurement section as the upper turbidity average, recorded as x ’ The average of the five turbidity values ​​of the middle layer measurement section is the middle layer turbidity average, denoted as y ’ The average of the five turbidity values ​​of the lower measurement section is the lower turbidity average, denoted as z ’ , given an interval q, Select the upper layer turbidity threshold x within the interval q that is different from the upper layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the upper layer turbidity threshold x , number of subsequent cleanings m x ; Select the middle layer turbidity threshold y within the interval q that is different from the middle layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the middle layer turbidity threshold y , number of subsequent cleanings m y ; Select the lower layer turbidity threshold z within the interval q that is different from the lower layer turbidity mean, and obtain the number of donkey skin washing times o corresponding to the lower layer turbidity threshold z , number of subsequent cleanings m z ; Then, calculate m x , m y , m z The maximum value among them is used as the subsequent washing times m of the donkey skin; Adopt a subsequent cleaning strategy to end the cleaning of donkey skins; The subsequent cleaning strategy is adopted to end the cleaning of the donkey skin, including: Set a threshold r to compare the subsequent cleaning times m of the donkey skin, and implement different cleaning strategies based on the comparison results. Determine whether to end cleaning. If the upper layer turbidity average value is x ’ Less than or equal to the upper layer qualified threshold x, the middle layer turbidity mean y ’ Less than or equal to the qualified threshold value y in the middle layer and the mean turbidity value z in the lower layer ’ If the value is less than or equal to the lower qualified threshold z, then the cleaning is terminated; otherwise, the subsequent cleaning times m of the donkey skin are obtained, and the actual subsequent cleaning times of the donkey skin are calculated; If the number of subsequent washing times m of the donkey skin is less than or equal to the threshold value r, then the actual number of subsequent washing times of the donkey skin is m; If the number of subsequent washings of the donkey skin m is greater than the threshold r, Then, according to the current washing times of the donkey skin, e, the actual subsequent washing times of the donkey skin is calculated and recorded as h, h=e²÷(em)-e; After washing the donkey skin for h times, determine whether the cleaning solution is qualified. If the cleaning fluid is qualified, the cleaning is finished; Otherwise, the donkey hides are manually sorted to find out the cause of the problem.

2. The fermentation preparation and processing process of donkey-hide gelatin powder according to claim 1, characterized in that: The method of taking out the fermented donkey-hide gelatin once and putting it into the microwave dryer for fermentation again comprises: The primary fermented donkey-hide gelatin is placed on the conveyor belt of the microwave dryer to convey the donkey-hide gelatin. The donkey-hide gelatin is conveyed on the conveyor belt at a constant speed for 40 minutes. The once-fermented donkey-hide gelatin on the conveyor belt is irradiated by the light irradiator in the microwave dryer, and the temperature of the donkey-hide gelatin irradiated by the light irradiator is 60°C.

3. The fermentation preparation and processing process of donkey-hide gelatin powder according to claim 1, characterized in that: The turbidity value data of the cleaning liquid is measured by the turbidity measurement method, including: S7: select the upper cross section, the middle cross section and the lower cross section in the longitudinal direction of the cleaning liquid and record them as the upper measurement cross section, the middle measurement cross section and the lower measurement cross section respectively; S8: Select five measuring points on each measuring section, take the cleaning liquid at the five measuring points as measuring point samples, and measure the measuring point samples with a turbidity meter to obtain sample values; S9: Calculate the absolute value of the difference between each sample value and the other four sample values ​​on the same measurement section. Given the standard value of measurement error p, S10: Use the measurement error standard value to normalize the sample value. If the absolute value of the difference between all sample values ​​on the same measurement section is less than the measurement error standard value p, It is determined that the sample value is turbidity value data, otherwise, step S11 is executed. S11: Stir the cleaning solution and repeat steps S8-S10 until each measurement section has 5 turbidity value data.

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