A method for improving the sensory quality of tobacco leaf by moisture dispersal

Abstract

The present application relates to a method for improving the sensory quality of tobacco leaves by water dispersion amount, determining the tobacco leaf processing process including N processes, determining the operation time between adjacent two processes, dividing the production workshop into set time periods and determining the average environment temperature and humidity data of each set time, extracting the tobacco leaves at the outlet of any process as samples, dividing the samples into set parts and placing them in sample balancing boxes respectively and balancing the corresponding process tobacco leaf operation time, then scoring the samples through expert sensory evaluation method and arranging them, obtaining the corresponding data after repeated multiple times, and then adjusting the corresponding working parameter processing. The technical scheme uses the changes of moisture and temperature of tobacco leaves to represent the heating intensity of tobacco leaves in the processing process, cooperates with the environment temperature and humidity, calculates the suitable processing intensity of each kind of tobacco raw material through long-term accumulation, improves the processing effect of the sensory quality of tobacco leaves, and guides the setting of processing parameters under the condition of change of environment temperature and humidity.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of tobacco processing control, and particularly relates to a method for improving sensory quality of tobacco leaves through moisture loss. BACKGROUND

[0002] In the threshing and redrying processing of raw tobacco, the changes are the changes of physical form and moisture and temperature, and in different processes, the moisture absorption or release is carried out under the action of heat source such as hot air or steam or atomized water. In the process of moisture absorption or release, the bad smell such as green smell carried by the tobacco leaves is released, and the aroma components are excited to be released, and through the superposition of moisture absorption or release in multiple processing procedures, the suitable processing effect is finally achieved.

[0003] In the moisture release process of tobacco leaves, the moisture release occurs not only in the high-temperature process of tobacco sheet redrying but also in the processes such as tobacco transmission, sand screening, impurity removal and threshing and winnowing affected by the natural environment. In the process of threshing and winnowing, the tobacco leaves with high temperature are affected by the natural wind and environment, and the temperature and moisture of the tobacco leaves are released, and at the same time, the smell and irritating gas of the tobacco leaves are also released, which affects the sensory quality of the tobacco leaves.

[0004] However, in the current processing process setting, only the parameter setting of each process is focused on, the whole is not considered, and in the parameter setting of the processing process, the influence of the moisture loss of the tobacco leaves and the environmental temperature and humidity between the processes on the processing effect of the sensory quality of the tobacco leaves is ignored. SUMMARY

[0005] The present application aims to provide a method for improving the sensory quality of tobacco leaves through moisture loss, so as to solve the problem that in the current processing process setting, only the parameter setting of each process is focused on, and the influence of the moisture loss of the tobacco leaves and the environmental temperature and humidity between the processes on the processing effect of the sensory quality of the tobacco leaves is ignored.

[0006] To achieve the above-mentioned purpose, the present application is implemented by the following technical scheme:

[0007] A method for improving the sensory quality of tobacco leaves through moisture loss, comprising the following steps:

[0008] S1, determining that the tobacco processing process comprises N processes, which are N1, N2, N3, …, Nn in sequence, wherein n is a natural number, and determining the time t1 of tobacco running from the N1 process to the N2 process, the time t2 of tobacco running from the N2 process to the N3 process, …, and the time tn-1 of tobacco running from the Nn-1 process to the Nn process;

[0009] S2, determine the actual environment temperature and humidity data of the production workshop, specifically, divide the set time period into M segments, and determine the average environment temperature and humidity data of each segment as M1, M2, M3, …, Mk, wherein k is a natural number;

[0010] S3, extract the tobacco at the outlet of any process as a sample to be detected and seal the sample, detect the corresponding moisture content E, and divide the sample into P parts, respectively P1, P2, P3, …, Ph, wherein h is a natural number;

[0011] S4, place the above samples in each sample balance box, and according to the average environment temperature and humidity data of step S2, correspond to a sample balance box and the balance time is the time from the process of extracting the sample to the next process;

[0012] S5, use expert sensory evaluation method to evaluate the balanced samples respectively, and score each sample according to the conventional comprehensive scoring method, and arrange the samples in order according to the scores to obtain a sequence L1;

[0013] S6, after M time periods, repeat steps S3 to S5 in the process of extracting the sample in step S3, and repeat I times, and combine step S5 to obtain the ordered sequences L1, L2, L3, …, Li;

[0014] S7, compare the samples corresponding to the data at the same position of the ordered sequences in step S6, if the repetition degree is greater than the set value, the following judgment is made:

[0015] In the ordered sequence, whether there are repeated data in the first set number of data, if yes, the data with the most leading number is used as the parameter adjustment; if no, this detection is abandoned, and steps S3 to S6 are re-detected until there are repeated data in the first set number of data in the ordered sequence.

[0016] Further, the set time period in step S2 is a working day, a production batch time or other set time length.

[0017] Further, the average environment temperature and humidity data of each segment in step S2 is averaged at least including the temperature and humidity data at the positions between all processes included in the production workshop and the corresponding period.

[0018] Further, step S3 further includes designing a marker at the outlet of the sampling process, and removing the marker before the inlet of the next process, while extracting the corresponding tobacco to detect the moisture content E1, and the value Δ of E-E1 is the amount of water loss of the tobacco between the processes.

[0019] Further, in the sorting sequence, if the first set number of data does not have repeated data, step S7 further comprises step S8, the next process outlet tobacco of the process corresponding to step S3 is the to-be-detected sample, and the rest is repeated steps S3 to S7.

[0020] Further, the tobacco is classified according to the water absorption of the tobacco itself to balance the water content.

[0021] The beneficial effects of the present application are:

[0022] The technical scheme of the present application characterizes the heat intensity of tobacco in the processing process by the changes of the moisture and temperature of the tobacco, cooperates with the environmental temperature and humidity, calculates the suitable processing intensity of each kind of tobacco raw material through long-term accumulation, improves the processing effect of the sensory quality of the tobacco, and guides the setting of the processing parameters under the condition of the change of the environmental temperature and humidity. DETAILED DESCRIPTION

[0023] The technical scheme of the present application is described in detail through the following examples, the following examples are only exemplary, can only be used to explain and illustrate the technical scheme of the present application, and cannot be explained as the limitation of the technical scheme of the present application.

[0024] The present application provides a method for improving the sensory quality of tobacco by the amount of moisture loss, comprising the following steps:

[0025] S1, determining that the tobacco processing process comprises N processes, which are N1, N2, N3, …, Nn in turn, wherein n is a natural number, and determining the time t1 that the tobacco in the N1 process runs to the N2 process, the time t2 that the tobacco in the N2 process runs to the N3 process, …, and the time tn-1 that the tobacco in the Nn-1 process runs to the Nn process.

[0026] Specifically, taking the conventional tobacco processing as an example, the tobacco processing includes a leaf conditioning process, a redrying process, a threshing and winnowing process, a cutting process, a flavoring process, etc. In the embodiment, the tobacco processing process includes a leaf laying process N1, a primary hot air conditioning process N2, a secondary hot air conditioning process N3, a threshing and winnowing process N4, a pre-drying water conditioning process N5, a moisture balance temporary storage process N6, a leaf redrying process N7, and a finished product packing process N8. The running time of the tobacco from the leaf laying process to the outlet of the primary hot air conditioning process is t1, the running time of the tobacco from the outlet of the primary hot air conditioning process to the inlet of the secondary hot air conditioning process is t2, the running time of the tobacco from the outlet of the secondary hot air conditioning process to the inlet of the threshing and winnowing process is t3, the running time of the tobacco from the outlet of the threshing and winnowing process to the inlet of the pre-drying water conditioning process is t4, the running time of the tobacco from the outlet of the pre-drying water conditioning process to the inlet of the moisture balance temporary storage process is t5, the running time of the tobacco from the outlet of the moisture balance temporary storage process to the inlet of the leaf redrying process is t6, and the running time of the tobacco from the outlet of the leaf redrying process to the inlet of the finished product packing process is t7. The above is only used to illustrate the above embodiment of the present application, and does not mean that the technical solution can only be applied to the tobacco processing technology. The person skilled in the art can adjust the tobacco processing process according to the production needs, and the realization of the technical solution of the present application is not affected.

[0027] S2, determine the actual environment temperature and humidity data of the production workshop, specifically, divide the set time period into M segments, and determine the average environment temperature and humidity data of each segment as M1, M2, M3, …, Mk, where k is a natural number. The specific set time period can be determined according to actual needs, for example, one production batch can be a time period, or one production day can be a set time period. Taking the production day as the set time period as an example, different times such as morning, evening and noon, combined with different seasons and local environmental characteristics, the key is that the temperature at noon is usually higher than that in the morning and evening. Therefore, after being divided into M segments, the interval of each segment can be 1 hour, 2 hours, 4 hours, etc. The actual selection of the person skilled in the art is specific. In the embodiment, in order to ensure the accuracy of the detection effect, two hours are taken as a time period, i.e., one production day is taken as a unit, 12 hours are taken as a production day, and a total of 6 segments are divided. The average environment temperature and humidity data of each segment is calculated. The average environment temperature and humidity data of each segment is at least obtained by averaging the temperature and humidity data at the positions between all processes included in the production workshop and the corresponding time period. The average environment temperature and humidity data of 6:00-8:00 is M1, the average environment temperature and humidity data of 8:00-10:00 is M2, and so on. The average environment temperature and humidity data M3, M4, M5, and M6 are obtained. In the six time periods, the repeated time is in the previous time period, and the next time period does not include the time.

[0028] S3, extract the tobacco leaves at the outlet of any process as a sample to be detected and seal the sample, detect the corresponding moisture content E, and divide the sample into P parts, respectively P1, P2, P3, …, Ph, where h is a natural number.

[0029] Specifically, the extraction of tobacco leaves from the outlet of the threshing and winnowing process is taken as an example for detection. Specifically, the sampling position is set at the outlet of the threshing and winnowing process to sample the tobacco leaves. The obtained sample is sealed and stored, i.e. theoretically, the sample will not lose moisture, etc. At the same time, a marker is placed at the sampling position, and the moisture content of the sampled tobacco leaves is detected to obtain the moisture content E. When the marker runs to the set position before the entrance of the pre- baking water conditioning process, the marker is removed and sampling is performed at this position, and moisture content detection is performed to obtain the moisture content E1. This method is used to determine the moisture loss of tobacco leaves at the same position after running through the process. Specifically, the value of E-E1 is the amount of moisture loss.

[0030] The sampled tobacco leaves are evenly divided into 12 parts, and the samples are numbered as P1, P2, P3, …, P12, and are all sealed and stored.

[0031] S4, take 12 identical sample balance boxes and number them as box 1, box 2, box 3, …, box 12. Ensure that the internal space volume of the sample balance box is sufficient to avoid affecting the moisture dispersion of the tobacco leaves in a specific environment. Then set the environment in box 1 to be less than M1, set the environment in box 2 to be M1, set the environment in box 3 to be (M1+M2) / 2, set the environment in box 4 to be M2, set the environment in box 5 to be (M2+M3) / 2, set the environment in box 6 to be M3, set the environment in box 7 to be (M3+M4) / 2, set the environment in box 8 to be M4, set the environment in box 9 to be (M4+M5) / 2, set the environment in box 10 to be M5, set the environment in box 11 to be (M5+M6) / 2, and set the environment in box 12 to be M6. Then put sample P1 into box 1, sample P2 into box 2, and so on, until sample P12 is put into box 12. After balancing for t4, detection is performed.

[0032] S5, use expert sensory evaluation method to evaluate the balanced samples, and score each sample according to the conventional comprehensive scoring method. Arrange the samples in order according to the scores to obtain the sorting sequence L1, which includes 12 score values.

[0033] S6, after interval M time period, in this embodiment, because divided into 6 segments, interval 2 hours, at the same position of the outlet of the threshing wind division process, the same sampling method is used to repeat the work of steps S3 to S5, and repeat 5 times, a total of 6 ordering sequences, L1, L2, L3, L4, L5, L6, each ordering sequence includes 12 fractional values.

[0034] S7, comparing the data corresponding to the same position of the ordering sequence of step S6, if the degree of repetition is greater than the set value, the following judgment is made: the specific explanation is that if the fractional value corresponding to the ordering sequence L1 is G1, G2, G3, …, G12, if G1 corresponds to sample P1, G2 corresponds to sample P2, and so on, G12 corresponds to sample P12, this assumption does not represent the true situation, here only for more clear understanding of the technical solution. For ordering sequence L2, L3, L4, L5, L6, first determine whether the sample value is arranged in this way, and determine that the arrangement is in this way, calculate the ratio of repeated samples to total samples as the degree of repetition of the application. In this embodiment, at least 7 samples repeat to perform the subsequent judgment, and after the above degree of repetition judgment, the vertical fractional value judgment is also performed, that is, sample P1 is in the first position in the six ordering data, and the similarity of the fractional values in the first position of the six ordering sequences is judged. It is impossible that the fractional values are exactly the same, but the variance of the six fractional values is ensured to be lower than the set value. After the above double analysis, if the set value can be met, the subsequent judgment can be performed:

[0035] In the 12 rankings of each ordering sequence, whether the data in the front set number of positions has repeated data, because the fractional values in this embodiment are arranged from high to low, the samples in the front position have higher sensory quality, which meets the requirements of the technical solution. In this embodiment, the first four positions are taken as an example for explanation, that is, if there are samples that meet the above conditions in the first four fractional values, the environmental temperature and humidity data corresponding to the sample with the most front position is adjusted. If there is no repeated data, the detection is abandoned, and the above detection method is repeated for repeated detection until there is repeated data in the front set number of positions of the ordering sequence.

[0036] In other embodiments of the present application, when the ranking sequence, if the front set number of score values have no repeated data, and the repeated data are all in the rear number of bits, it indicates that the above-mentioned environment temperature and humidity of the process are not the best parameters, but because there is continuity in tobacco processing, therefore, the detection is modified to detect the tobacco of the next process, that is, in the present embodiment, sampling is carried out at the outlet of the pre- curing water adjusting process, and detection is carried out at the inlet of the moisture balance temporary storage process, the remaining detection modes are repeated with steps S3 to S7, if the front set number of data are repeated after re-detection, it is determined that the data after two processes can meet the requirements, the working parameters of the previous process are adjusted according to the parameters corresponding to the highest score, if it still does not meet the requirements, the above-mentioned all data are abandoned, and the detection is re-performed.

[0037] In the technical scheme of the present application, the tobacco is also classified according to the water absorption of the tobacco itself, so as to balance the moisture content.

[0038] The above is only the preferred embodiment of the present application, and is not intended to limit the present application in other forms. Any person skilled in the art can modify or change the above-mentioned disclosed technical content into equivalent embodiments. However, any simple modification, equivalent change and modification made on the basis of the technical essence of the present application to the above-mentioned embodiments, which does not deviate from the technical scheme of the present application, still belongs to the protection scope of the present application.

Claims

1. A method for improving the sensory quality of tobacco leaf by moisture dispersal loss, characterized by, Comprise the following steps: S1, determine the tobacco processing process includes N processes, in turn, respectively N1, N2, N3, …, Nn, wherein n is a natural number, and determine the time t1 of N1 process tobacco running to N2 process, N2 process tobacco running to N3 process time t2, …, Nn-1 process tobacco running to Nn process time tn-1; S2, determine the actual environment temperature and humidity data of the production workshop, specifically, the average environment temperature and humidity data of each segment is determined as M1, M2, M3, …, Mk, wherein k is a natural number, by dividing the set time period into M segments; S3, extract the tobacco at the outlet of any process as the sample to be detected and seal the sample, and detect the corresponding moisture content E, and divide the sample into P parts, respectively P1, P2, P3, …, Ph, wherein h is a natural number; S4, place the above samples in each sample balance box, and according to the average environment temperature and humidity data of step S2, correspond to a sample balance box and the balance time is the time from the process of extracting the sample to the next process; S5, use expert sensory evaluation method to evaluate the balanced samples respectively, and score each sample according to the conventional comprehensive scoring method, and arrange the samples in order according to the score to obtain a sequence L1; S6, after M time intervals, repeat steps S3 to S5 at the process of extracting the sample in step S3, and repeat I times, and combine step S5 to obtain the sequence L1, L2, L3, …, Li; S7, compare the samples corresponding to the data at the same position of the sequence in step S6, if the repetition degree is greater than the set value, the following judgment is made: In the sequence, whether there are repeated data in the first set number of data, if yes, the data with the most leading position is used as the parameter adjustment; if no, the detection is abandoned, and the detection is re-detected according to steps S3 to S6 until there are repeated data in the first set number of data in the sequence.

2. The method of enhancing sensory quality of tobacco leaf by moisture loss amount according to claim 1, characterized in that, The set time period in step S2 is a working day, a production batch time or other set time length.

3. The method of enhancing sensory quality of tobacco leaf by moisture loss amount according to claim 1, characterized in that, The average environment temperature and humidity data of each segment in step S2 is at least the average of the temperature and humidity data at the position between all processes included in the production workshop and the corresponding period.

4. The method of enhancing sensory quality of tobacco leaf by moisture loss amount according to claim 1, characterized in that, Step S3 further comprises setting an identifier at the outlet of the sampling process, and removing the identifier before the inlet of the next process, while extracting the corresponding tobacco to detect the moisture content E1, the value Δ of E-E1 is the amount of water loss between the tobacco in the process.

5. The method of enhancing sensory quality of tobacco leaf by moisture loss amount according to claim 1, wherein, In step S7, if there is no repeated data in the first set number of data in the sequence, step S8 is further included, wherein the tobacco at the outlet of the next process of the corresponding process in step S3 is used as the sample to be detected, and the rest is repeated from step S3 to step S7.

6. The method of enhancing sensory quality of tobacco leaf by moisture loss amount according to claim 1, wherein, The tobacco is further classified according to the water absorption of the tobacco itself, and the moisture content is used as the characterization.