Fermentation detection system and method for mixed feed for breeding

Abstract

The invention relates to the technical field of feed fermentation, and discloses a mixed feed fermentation detection system and method for breeding, and the system comprises a collection module which collects the fermentation environment parameters in the feed fermentation process and collects the feed parameters before and after the feed fermentation for many times at fixed time intervals; the data processing module calculates a fermentation environment health assessment value and a fermentation environment health assessment mean value of each time; the judging and adjusting module judges whether to adjust the fermentation environment health assessment initial value or not according to the change fluctuation of the environment health assessment value to obtain a final fermentation environment health assessment value; preliminarily calculating a fermentation qualification evaluation value according to the parameters of the fermented feed, and judging whether the fermentation qualification evaluation value is adjusted or not to obtain a final fermentation qualification evaluation value; and the grade determination module determines a comprehensive evaluation value of feed fermentation according to the final fermentation environment health evaluation value and the final fermentation qualification evaluation value, and determines the quality grade of the fermented feed. The method can comprehensively and accurately evaluate the feed fermentation quality.

Description

Technical Field

[0001] The present invention relates to the technical field of feed fermentation, and in particular to a mixed feed fermentation detection system and method for breeding. Background Art

[0002] After the feed is fermented, a series of biochemical reactions take place. Complex macromolecular organic substances such as cellulose, starch, and protein in the feed are degraded to a certain extent into small molecular substances such as monosaccharides, disaccharides, oligosaccharides, and amino acids that are easily digested and absorbed by animals, thereby improving the digestibility and absorption rate of the feed, and playing a role in deep production and processing that feed machinery cannot achieve. At the same time, a large number of nutritious microbial strains and cells and useful metabolites are produced and accumulated during the fermentation process of the feed, making the feed softer and more fragrant, and increasing its nutrition, thereby changing the physical and chemical properties of the feed and improving its palatability, digestibility, absorption rate, and nutritional value.

[0003] With the rapid development of the breeding industry, the quality of feed directly affects the health and growth efficiency of animals. In particular, the use of fermented feed has gradually become an important means to improve feed utilization and promote animal digestion and absorption. Fermented feed has the advantages of improving the intestinal environment and increasing nutrient utilization, but its quality control faces challenges in the production process. Traditional fermented feed detection methods usually rely on manual experience or the measurement of a single parameter, which makes it difficult to fully and accurately monitor the complex changes in the fermentation process, especially when multiple environmental parameters and feed composition changes are involved. A single indicator is difficult to provide a reliable quality assessment.

[0004] Therefore, it is necessary to provide a mixed feed fermentation detection system and method for breeding to solve the problem that the quality assessment indicators of traditional fermented feed detection methods are single and incomplete, resulting in unreliable quality assessment results. Summary of the invention

[0005] In view of this, the present invention proposes a mixed feed fermentation detection system and method for breeding, aiming to solve the problem that the quality assessment index of traditional fermented feed detection methods is single and incomplete, resulting in unreliable quality assessment results.

[0006] The present invention provides a mixed feed fermentation detection system for breeding, comprising:

[0007] A collection module is configured to collect fermentation environment parameters during feed fermentation for multiple times at fixed intervals, and collect feed parameters before and after fermentation, wherein the fermentation environment parameters include fermentation temperature, fermentation humidity, airtightness and oxygen concentration, and the feed parameters include digestible protein content and crude fiber content;

[0008] A data processing module, configured to calculate a fermentation environment health assessment value for each time based on the fermentation environment parameters collected each time, calculate an average value of the fermentation environment health assessment, and use the average value of the fermentation environment health assessment as an initial value of the fermentation environment health assessment;

[0009] A judgment and adjustment module, configured to judge whether to adjust the initial value of the fermentation environment health assessment according to the change and fluctuation of the environment health assessment value. When it is judged to be adjusted, the initial value of the fermentation environment health assessment is adjusted according to the fluctuation value of adjacent environment health assessment values to obtain a final fermentation environment health assessment value;

[0010] The judgment and adjustment module is further configured to preliminarily calculate a fermentation qualification assessment value according to the feed parameters after fermentation, and judge whether to adjust the fermentation qualification assessment value according to the parameter fluctuation value between the feed parameters after fermentation and the feed parameters before fermentation. When it is judged to be adjusted, the fermentation qualification assessment value is adjusted according to the parameter fluctuation value to obtain a final fermentation qualification assessment value;

[0011] A grade determination module, configured to determine a comprehensive assessment value of feed fermentation according to the final fermentation environment health assessment value and the final fermentation qualification assessment value, and determine the quality grade of the fermented feed according to the comprehensive assessment value.

[0012] Further, when the acquisition module is configured to acquire the fermentation environment parameters of the feed during the feed fermentation process at fixed time intervals multiple times, it includes:

[0013] During the feed fermentation process, the fermentation environment parameters are acquired at least three times, including:

[0014] The first fermentation environment parameter acquisition is performed at the start of feed fermentation;

[0015] The second fermentation environment parameter acquisition is performed in the middle of feed fermentation;

[0016] The third fermentation environment parameter acquisition is performed at the end of feed fermentation.

[0017] Further, when the data processing module is configured to calculate a fermentation environment health assessment value for each time based on the fermentation environment parameters collected each time, it includes:

[0018] A standard fermentation temperature value, a fermentation temperature range, a standard fermentation humidity value, a fermentation humidity range, a standard oxygen concentration value, and an oxygen concentration range are preset in advance, and a temperature score, a humidity score, a sealing score, and an oxygen concentration score are calculated respectively according to the following formula;

[0019] Ts = 1 - |(T - Tb) / (Tmax - Tmin)|;

[0020] Hs = 1 - |(H - Hb) / (Hmax - Hmin)|;

[0021] Ss = S;

[0022] Os = 1 - |(O - Ob) / (Omax - Omin)|;

[0023] Wherein, Ts represents the temperature score, T represents the fermentation temperature, Tb represents the standard fermentation temperature value, Tmax represents the upper limit value in the fermentation temperature range, Tmin represents the lower limit value in the fermentation temperature range, Hs represents the humidity score, H represents the fermentation humidity, Hb represents the standard fermentation humidity value, Hmax represents the upper limit value in the fermentation humidity range, Hmin represents the lower limit value in the fermentation humidity range, Ss represents the sealing score, S represents the sealing degree, Os represents the oxygen concentration score, O represents the oxygen concentration, Ob represents the standard oxygen concentration value, Omax represents the upper limit value in the oxygen concentration range, and Omin represents the lower limit value in the oxygen concentration range;

[0024] According to the temperature score, humidity score, sealing score, and oxygen concentration score, calculate the fermentation environment health assessment value for each time through the following formula:

[0025] F1 = wT × Ts + wH × Hs + wS × Ss + wO × Os;

[0026] Wherein, F1 represents the fermentation environment health assessment value, wT represents the temperature weight coefficient, Ts represents the temperature score, wH represents the humidity weight coefficient, Hs represents the humidity score, wS represents the sealing weight coefficient, Ss represents the sealing score, wO represents the oxygen concentration weight coefficient, Os represents the oxygen concentration score, wT + wH + wS + wO = 1, and wT > wH > wS > wO.

[0027] Furthermore, when the judgment and adjustment module is configured to judge whether to adjust the initial value of the fermentation environment health assessment according to the change and fluctuation of the environment health assessment value, it includes:

[0028] Preset the maximum value of the fluctuation range. If the fluctuation range between two adjacent environment health assessment values is less than or equal to the maximum value of the fluctuation range, judge not to adjust the initial value of the fermentation environment health assessment, and use the initial value of the fermentation environment health assessment as the final fermentation environment health assessment value;

[0029] If the fluctuation value between two adjacent environment health assessment values is greater than the maximum value of the fluctuation range, judge to adjust the initial value of the fermentation environment health assessment, and use the adjusted initial value of the fermentation environment health assessment as the final fermentation environment health assessment value.

[0030] Further, when the fluctuation value between two adjacent environmental health assessment values is greater than the maximum fluctuation amplitude, and it is determined to adjust the initial fermentation environmental health assessment value and use the adjusted initial fermentation environmental health assessment value as the final fermentation environmental health assessment value, it includes:

[0031] Adjust the initial fermentation environmental health assessment value according to the following formula:

[0032] Ft = Fz + α×(F3 - F2) / n;

[0033] Wherein, Ft represents the final fermentation environmental health assessment value, Fz represents the initial fermentation environmental health assessment value, F3 represents the fermentation environmental health assessment value of the most recent one in two adjacent samplings, F2 represents the fermentation environmental health assessment value of the previous one in two adjacent samplings, n represents the number of samplings of fermentation environmental parameters during the feed fermentation process, α represents the adjustment coefficient, and 0 < α ≤ 1.

[0034] Further, when the judgment and adjustment module initially calculates the fermentation qualification assessment value according to the feed parameters after fermentation, it includes:

[0035] Preset the standard digestible protein content and the standard crude fiber content of the feed after fermentation, and calculate the fermentation qualification assessment value according to the following formula:

[0036] Q = β1×[(D - Db) / Db] + β2×[(W - Wb) / Wb];

[0037] Wherein, Q represents the fermentation qualification assessment value, D represents the digestible protein content of the feed after fermentation, Db represents the standard digestible protein content of the feed after fermentation, W represents the crude fiber content of the feed after fermentation, Wb represents the standard crude fiber content of the feed after fermentation, β1 represents the weight coefficient of the digestible protein content, β2 represents the weight coefficient of the crude fiber content, and β1 + β2 = 1.

[0038] Further, when the judgment and adjustment module determines whether to adjust the fermentation qualification assessment value according to the parameter fluctuation value of the feed parameters after fermentation and the feed parameters before fermentation, it includes:

[0039] Preset the fluctuation value of the standard digestible protein content, and calculate the fluctuation value of the digestible protein content before and after feed fermentation according to the following formula;

[0040] ΔD = |(D - D1) / D1|;

[0041] Wherein, ΔD represents the fluctuation value of the digestible protein content, D represents the digestible protein content of the feed after fermentation, and D1 represents the digestible protein content of the feed before fermentation;

[0042] Preset the standard fluctuation value of crude fiber content, and calculate the fluctuation value of crude fiber content before and after feed fermentation through the following formula:

[0043] ΔW = |(W - W1) / W1|;

[0044] Where, ΔW represents the fluctuation value of crude fiber content, W represents the crude fiber content of the fermented feed, and W1 represents the crude fiber content of the feed before fermentation;

[0045] If the fluctuation value of digestible protein content is greater than or equal to the standard fluctuation value of digestible protein content, and the fluctuation value of crude fiber content is greater than or equal to the standard fluctuation value of crude fiber content, it is determined that the fermentation qualified evaluation value is not adjusted, and the fermentation qualified evaluation value is the final fermentation qualified evaluation value;

[0046] If the fluctuation value of digestible protein content is less than the standard fluctuation value of digestible protein content, and / or, the fluctuation value of crude fiber content is less than the standard fluctuation value of crude fiber content, it is determined that the fermentation qualified evaluation value is adjusted, and the adjusted fermentation qualified evaluation value is used as the final fermentation qualified evaluation value.

[0047] Furthermore, when the determination and adjustment module is configured to perform adjustment when it is determined that adjustment is required, and obtain the final fermentation qualified evaluation value according to the parameter fluctuation value, it includes:

[0048] Adjust the fermentation qualified evaluation value through the following formula to obtain the adjusted fermentation qualified evaluation value, that is, obtain the final fermentation qualified evaluation value:

[0049] Qt = Q + γ×[(ΔD - ΔDb) + (ΔW - ΔWb)];

[0050] Where, Qt represents the adjusted fermentation qualified evaluation value, Q represents the fermentation qualified evaluation value before adjustment, γ represents the feed parameter adjustment coefficient, 0 < γ ≤ 1, ΔD represents the fluctuation value of digestible protein content, ΔDb represents the standard fluctuation value of digestible protein content, ΔW represents the fluctuation value of crude fiber content, and ΔWb represents the standard fluctuation value of crude fiber content.

[0051] Furthermore, when the grade determination module determines the comprehensive evaluation value of feed fermentation according to the final fermentation environmental health evaluation value and the final fermentation qualified evaluation value, and determines the quality grade of the fermented feed according to the comprehensive evaluation value, it includes:

[0052] Weighted sum the final fermentation environmental health evaluation value and the final fermentation qualified evaluation value to obtain the comprehensive evaluation value of feed fermentation, and the sum of the weight coefficients of the final fermentation environmental health evaluation value and the weight coefficient of the final fermentation qualified evaluation value is 1;

[0053] Preset a first comprehensive evaluation value and a second comprehensive evaluation value, and the first comprehensive evaluation value is greater than the second comprehensive evaluation value;

[0054] If the comprehensive evaluation value is greater than or equal to the first comprehensive evaluation value, determine that the quality grade of the fermented feed is first grade;

[0055] If the comprehensive evaluation value is greater than or equal to the second comprehensive evaluation value and less than the first comprehensive evaluation value, determine that the quality grade of the fermented feed is second grade;

[0056] If the comprehensive evaluation value is less than the second comprehensive evaluation value, determine that the quality grade of the fermented feed is third grade.

[0057] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0058] The acquisition module acquires fermentation environment parameters and feed parameters at fixed time intervals, covering key factors such as fermentation temperature, fermentation humidity, airtightness, and oxygen concentration, as well as digestible protein content and crude fiber content. Through this comprehensive data acquisition, it is possible to timely grasp the environmental changes and feed composition changes during the fermentation process, providing sufficient data support for subsequent evaluation. The data processing module calculates the fermentation environment health evaluation value for each time based on the fermentation environment parameters collected multiple times, and obtains the initial value of the fermentation environment health evaluation through average calculation, which can effectively eliminate the accidental fluctuations of the environmental parameters and ensure the stability and accuracy of the fermentation process evaluation. The judgment and adjustment module further dynamically adjusts the initial value of the fermentation environment health evaluation according to the fluctuation of the environmental health evaluation value to ensure the accuracy of the evaluation value, and adjusts the fermentation qualification evaluation value according to the fluctuation of the feed parameters before and after fermentation to ensure that the final fermentation qualification evaluation value can truly reflect the actual quality of the feed fermentation. Finally, the grade determination module calculates the comprehensive evaluation value based on the final fermentation environment health evaluation value and the fermentation qualification evaluation value, and determines the quality grade of the fermented feed, which can comprehensively and accurately evaluate the fermentation quality.

[0059] On the other hand, the present application also provides a method for detecting the fermentation of a mixed feed for breeding, including:

[0060] Collect the fermentation environment parameters during the feed fermentation process at fixed time intervals, collect the feed parameters before feed fermentation and the feed parameters after fermentation, wherein the fermentation environment parameters include fermentation temperature, fermentation humidity, airtightness, and oxygen concentration, and the feed parameters include digestible protein content and crude fiber content;

[0061] Calculate the fermentation environment health evaluation value for each time according to the fermentation environment parameters collected each time, calculate the average value of the fermentation environment health evaluation, and use the average value of the fermentation environment health evaluation as the initial value of the fermentation environment health evaluation;

[0062] Judge whether to adjust the initial value of the fermentation environment health assessment according to the change and fluctuation of the environmental health assessment value. When it is judged to be adjusted, adjust the initial value of the fermentation environment health assessment according to the fluctuation value of the adjacent environmental health assessment values to obtain the final fermentation environment health assessment value;

[0063] Preliminarily calculate the fermentation qualification assessment value according to the feed parameters after fermentation, and judge whether to adjust the fermentation qualification assessment value according to the parameter fluctuation value between the feed parameters after fermentation and the feed parameters before fermentation. When it is judged to be adjusted, adjust the fermentation qualification assessment value according to the parameter fluctuation value to obtain the final fermentation qualification assessment value;

[0064] Determine the comprehensive assessment value of feed fermentation according to the final fermentation environment health assessment value and the final fermentation qualification assessment value, and determine the quality grade of the fermented feed according to the comprehensive assessment value.

[0065] It can be understood that the aquaculture mixed feed fermentation detection system and method provided in this application have the same beneficial effects, which will not be elaborated here. Brief Description of the Drawings

[0066] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0067] Figure 1 It is the functional block diagram of the aquaculture mixed feed fermentation detection system provided by the embodiment of the present invention;

[0068] Figure 2 It is the flowchart of the aquaculture mixed feed fermentation detection method provided by the embodiment of the present invention. Detailed Embodiments

[0069] The following will describe the exemplary embodiments of the present disclosure in more detail with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in combination with the embodiments.

[0070] In some embodiments of the present application, referring to Figure 1 As shown, this embodiment provides an aquaculture mixed feed fermentation detection system, including:

[0071] A collection module, configured to collect fermentation environment parameters during the feed fermentation process multiple times at fixed time intervals, collect feed parameters before feed fermentation and feed parameters after fermentation, wherein the fermentation environment parameters include fermentation temperature, fermentation humidity, airtightness, and oxygen concentration, and the feed parameters include digestible protein content and crude fiber content;

[0072] A data processing module, configured to calculate a fermentation environment health assessment value for each time based on the fermentation environment parameters collected each time, calculate an average fermentation environment health assessment value, and use the average fermentation environment health assessment value as the initial fermentation environment health assessment value;

[0073] A judgment and adjustment module, configured to judge whether to adjust the initial fermentation environment health assessment value according to the change and fluctuation of the environment health assessment value. When it is judged to be adjusted, the initial fermentation environment health assessment value is adjusted according to the fluctuation value of adjacent environment health assessment values to obtain the final fermentation environment health assessment value;

[0074] The judgment and adjustment module is also configured to preliminarily calculate a fermentation qualification assessment value based on the feed parameters after fermentation, and judge whether to adjust the fermentation qualification assessment value according to the parameter fluctuation value between the feed parameters after fermentation and the feed parameters before fermentation. When it is judged to be adjusted, the fermentation qualification assessment value is adjusted according to the parameter fluctuation value to obtain the final fermentation qualification assessment value;

[0075] A grade determination module, configured to determine a comprehensive assessment value of feed fermentation according to the final fermentation environment health assessment value and the final fermentation qualification assessment value, and determine the quality grade of the feed after fermentation according to the comprehensive assessment value.

[0076] It is understandable that the acquisition module collects fermentation environment parameters and feed parameters at fixed time intervals, covering key factors such as fermentation temperature, fermentation humidity, airtightness, and oxygen concentration, as well as digestible protein content and crude fiber content. Through such comprehensive data acquisition, it is possible to timely grasp the environmental changes and feed composition changes during the fermentation process, providing sufficient data support for subsequent evaluation. The data processing module calculates the fermentation environment health assessment value for each time based on the fermentation environment parameters collected multiple times, and obtains the initial fermentation environment health assessment value through average calculation, which can effectively eliminate the accidental fluctuations of the environmental parameters and ensure the stability and accuracy of the fermentation process assessment. The judgment and adjustment module further dynamically adjusts the initial fermentation environment health assessment value according to the fluctuations of the environmental health assessment value to ensure the accuracy of the assessment value, and adjusts the fermentation pass assessment value according to the fluctuations of the feed parameters before and after fermentation to ensure that the final fermentation pass assessment value can truly reflect the actual quality of the feed fermentation. Finally, the grade determination module calculates the comprehensive assessment value based on the final fermentation environment health assessment value and the fermentation pass assessment value, and determines the quality grade of the fermented feed, which can comprehensively and accurately evaluate the fermentation quality.

[0077] In some embodiments of the present application, when the acquisition module is configured to collect the fermentation environment parameters of the feed during the feed fermentation process at fixed time intervals, it includes:

[0078] Collect the fermentation environment parameters at least three times during the feed fermentation process, including:

[0079] Conduct the first fermentation environment parameter collection at the start of the feed fermentation;

[0080] Conduct the second fermentation environment parameter collection in the middle of the feed fermentation;

[0081] Conduct the third fermentation environment parameter collection at the end of the feed fermentation.

[0082] In some embodiments of the present application, when the data processing module is configured to calculate the fermentation environment health assessment value for each time based on the fermentation environment parameters collected each time, it includes:

[0083] Preset the standard fermentation temperature value, fermentation temperature range, standard fermentation humidity value, fermentation humidity range, standard oxygen concentration value, and oxygen concentration range, and calculate the temperature score, humidity score, airtightness score, and oxygen concentration score respectively according to the following formulas;

[0084] Ts = 1 - |(T - Tb) / (Tmax - Tmin)|;

[0085] Hs = 1 - |(H - Hb) / (Hmax - Hmin)|;

[0086] Ss = S;

[0087] Os = 1 - |(O - Ob) / (Omax - Omin)|;

[0088] Wherein, Ts represents the temperature score, T represents the fermentation temperature, Tb represents the standard fermentation temperature value, Tmax represents the upper limit value in the fermentation temperature range, Tmin represents the lower limit value in the fermentation temperature range, Hs represents the humidity score, H represents the fermentation humidity, Hb represents the standard fermentation humidity value, Hmax represents the upper limit value in the fermentation humidity range, Hmin represents the lower limit value in the fermentation humidity range, Ss represents the sealing score, S represents the sealing degree, Os represents the oxygen concentration score, O represents the oxygen concentration, Ob represents the standard oxygen concentration value, Omax represents the upper limit value in the oxygen concentration range, and Omin represents the lower limit value in the oxygen concentration range;

[0089] According to the temperature score, humidity score, sealing score, and oxygen concentration score, calculate the fermentation environment health assessment value for each time through the following formula:

[0090] F1 = wT × Ts + wH × Hs + wS × Ss + wO × Os;

[0091] Wherein, F1 represents the fermentation environment health assessment value, wT represents the temperature weight coefficient, Ts represents the temperature score, wH represents the humidity weight coefficient, Hs represents the humidity score, wS represents the sealing weight coefficient, Ss represents the sealing score, wO represents the oxygen concentration weight coefficient, Os represents the oxygen concentration score, wT + wH + wS + wO = 1, and wT > wH > wS > wO.

[0092] In some embodiments of the present application, when the judgment and adjustment module is configured to judge whether to adjust the initial value of the fermentation environment health assessment according to the change and fluctuation of the environment health assessment value, it includes:

[0093] Preset the maximum value of the fluctuation range. If the fluctuation range between two adjacent environment health assessment values is less than or equal to the maximum value of the fluctuation range, it is judged not to adjust the initial value of the fermentation environment health assessment, and the initial value of the fermentation environment health assessment is used as the final fermentation environment health assessment value;

[0094] If the fluctuation value between two adjacent environment health assessment values is greater than the maximum value of the fluctuation range, it is judged to adjust the initial value of the fermentation environment health assessment, and the adjusted initial value of the fermentation environment health assessment is used as the final fermentation environment health assessment value.

[0095] In some embodiments of the present application, when it is judged to adjust the initial value of the fermentation environment health assessment and the adjusted initial value of the fermentation environment health assessment is used as the final fermentation environment health assessment value if the fluctuation value between two adjacent environment health assessment values is greater than the maximum value of the fluctuation range, it includes:

[0096] Adjust the initial value of the fermentation environment health assessment according to the following formula:

[0097] Ft = Fz + α × (F3 - F2) / n;

[0098] Wherein, Ft represents the final fermentation environment health assessment value, Fz represents the initial value of the fermentation environment health assessment, F3 represents the fermentation environment health assessment value of the most recent one in two adjacent samplings, F2 represents the fermentation environment health assessment value of the previous one in two adjacent samplings, n represents the number of samplings of fermentation environment parameters during the feed fermentation process, α represents the adjustment coefficient, and 0 < α ≤ 1.

[0099] It can be understood that by collecting fermentation environment parameters such as temperature, humidity, airtightness, and oxygen concentration and combining with standard values for scoring, the health degree of the fermentation environment is effectively quantified. The data processing module calculates the fermentation environment health assessment value each time based on these scores, thus providing a scientific basis for the judgment and adjustment module. By setting the maximum value of the fluctuation range, it is judged whether the assessment value needs to be adjusted, ensuring the stability and accuracy of the assessment result. If the environmental fluctuation is too large, it is adjusted according to the data of two adjacent samplings, further improving the reliability of the fermentation environment assessment. Through the above process, the system can more accurately evaluate the quality of feed fermentation, optimize the fermentation process, improve the nutritional value and quality grade of the fermented feed, and help the aquaculture industry improve production efficiency and feed quality management.

[0100] In some embodiments of the present application, when the judgment and adjustment module initially calculates the fermentation qualification assessment value according to the feed parameters after fermentation, it includes:

[0101] Preset the standard digestible protein content and the standard crude fiber content of the feed after fermentation, and calculate the fermentation qualification assessment value according to the following formula:

[0102] Q = β1 × [(D - Db) / Db] + β2 × [(W - Wb) / Wb];

[0103] Wherein, Q represents the fermentation qualification assessment value, D represents the digestible protein content of the feed after fermentation, Db represents the standard digestible protein content of the feed after fermentation, W represents the crude fiber content of the feed after fermentation, Wb represents the standard crude fiber content of the feed after fermentation, β1 represents the weight coefficient of the digestible protein content, β2 represents the weight coefficient of the crude fiber content, and β1 + β2 = 1.

[0104] In some embodiments of the present application, when the judgment and adjustment module judges whether to adjust the fermentation qualification assessment value according to the parameter fluctuation value of the feed parameters after fermentation and the feed parameters before fermentation, it includes:

[0105] Preset the fluctuation value of the standard digestible protein content, and calculate the fluctuation value of the digestible protein content before and after feed fermentation according to the following formula;

[0106] ΔD = |(D - D1) / D1|;

[0107] Wherein, ΔD represents the fluctuation value of the digestible protein content, D represents the digestible protein content of the fermented feed, and D1 represents the digestible protein content of the feed before fermentation;

[0108] Preset the standard fluctuation value of the crude fiber content, and calculate the fluctuation value of the crude fiber content before and after feed fermentation through the following formula:

[0109] ΔW = |(W - W1) / W1|;

[0110] Wherein, ΔW represents the fluctuation value of the crude fiber content, W represents the crude fiber content of the fermented feed, and W1 represents the crude fiber content of the feed before fermentation;

[0111] If the fluctuation value of the digestible protein content is greater than or equal to the standard fluctuation value of the digestible protein content, and the fluctuation value of the crude fiber content is greater than or equal to the standard fluctuation value of the crude fiber content, it is determined that the fermentation qualified evaluation value is not adjusted, and the fermentation qualified evaluation value is the final fermentation qualified evaluation value;

[0112] If the fluctuation value of the digestible protein content is less than the standard fluctuation value of the digestible protein content, and / or, the fluctuation value of the crude fiber content is less than the standard fluctuation value of the crude fiber content, it is determined that the fermentation qualified evaluation value is adjusted, and the adjusted fermentation qualified evaluation value is used as the final fermentation qualified evaluation value.

[0113] In some embodiments of the present application, when the judgment adjustment module is configured to judge that adjustment is required, and adjust the fermentation qualified evaluation value according to the parameter fluctuation value to obtain the final fermentation qualified evaluation value, it includes:

[0114] Adjust the fermentation qualified evaluation value through the following formula to obtain the adjusted fermentation qualified evaluation value, that is, obtain the final fermentation qualified evaluation value:

[0115] Qt = Q + γ × [(ΔD - ΔDb) + (ΔW - ΔWb)];

[0116] Wherein, Qt represents the adjusted fermentation qualified evaluation value, Q represents the fermentation qualified evaluation value before adjustment, γ represents the feed parameter adjustment coefficient, 0 < γ ≤ 1, ΔD represents the fluctuation value of the digestible protein content, ΔDb represents the standard fluctuation value of the digestible protein content, ΔW represents the fluctuation value of the crude fiber content, and ΔWb represents the standard fluctuation value of the crude fiber content.

[0117] It can be understood that by setting the fluctuation values of the standard digestible protein content and crude fiber content, the present invention accurately calculates and adjusts the fermentation qualified evaluation value to ensure the accuracy and rationality of the evaluation result. The feed parameters after fermentation are compared with the feed parameters before fermentation, and combined with the set standard fluctuation range. When the fluctuation value exceeds the standard, the system does not need to adjust the evaluation value. Otherwise, it is dynamically adjusted according to the fluctuation value. Using the adjustment formula, the fermentation qualified evaluation value is further optimized to ensure that the final evaluation result can truly reflect the fermentation quality of the feed. By precisely adjusting the parameters, the present invention improves the evaluation standard of fermentation quality, helps the aquaculture industry better control the key nutrients in the feed fermentation process, and provides strong technical support for improving the feed quality.

[0118] In some embodiments of the present application, when the grade determination module determines the comprehensive evaluation value of feed fermentation according to the final fermentation environment health evaluation value and the final fermentation qualified evaluation value, and determines the quality grade of the fermented feed according to the comprehensive evaluation value, it includes:

[0119] The final fermentation environment health evaluation value and the final fermentation qualified evaluation value are weighted and summed to obtain the comprehensive evaluation value of feed fermentation, and the sum of the weight coefficients of the final fermentation environment health evaluation value and the weight coefficients of the final fermentation qualified evaluation value is 1;

[0120] The first comprehensive evaluation value and the second comprehensive evaluation value are preset in advance, and the first comprehensive evaluation value is greater than the second comprehensive evaluation value;

[0121] If the comprehensive evaluation value is greater than or equal to the first comprehensive evaluation value, it is determined that the quality grade of the fermented feed is first grade;

[0122] If the comprehensive evaluation value is greater than or equal to the second comprehensive evaluation value and less than the first comprehensive evaluation value, it is determined that the quality grade of the fermented feed is second grade;

[0123] If the comprehensive evaluation value is less than the second comprehensive evaluation value, it is determined that the quality grade of the fermented feed is third grade.

[0124] It can be understood that by weighting and summing the final fermentation environment health evaluation value and the final fermentation qualified evaluation value through the grade determination module, the comprehensive evaluation value of feed fermentation is accurately calculated, and the feed quality is graded in combination with the preset first and second comprehensive evaluation values, ensuring comprehensive consideration of both environmental health and nutritional qualification during the fermentation process, making the quality grade evaluation more comprehensive and scientific. By setting different comprehensive evaluation value thresholds, the fermented feed is divided into first grade, second grade and third grade, which helps aquaculture enterprises effectively distinguish the feed quality, optimize the fermentation process management, not only improves the control accuracy of feed fermentation, but also provides a clear reference standard for subsequent feed quality improvement, thereby enhancing the production efficiency and economic benefits of the aquaculture industry.

[0125] On the other hand, referring to Figure 2 as shown, the present application also provides a method for detecting the fermentation of a mixed feed for breeding, which is applied to the above-mentioned detection system for the fermentation of a mixed feed for breeding, and includes the following steps:

[0126] S100. Collect the fermentation environment parameters during the feed fermentation process at fixed time intervals for multiple times, and collect the feed parameters before and after the feed fermentation. Among them, the fermentation environment parameters include fermentation temperature, fermentation humidity, airtightness, and oxygen concentration, and the feed parameters include digestible protein content and crude fiber content;

[0127] S200. Calculate the health assessment value of the fermentation environment for each time according to the collected fermentation environment parameters each time, calculate the average value of the health assessment of the fermentation environment, and use the average value of the health assessment of the fermentation environment as the initial value of the health assessment of the fermentation environment;

[0128] S300. Determine whether to adjust the initial value of the health assessment of the fermentation environment according to the change and fluctuation of the health assessment value of the environment. When it is determined to be adjusted, adjust the initial value of the health assessment of the fermentation environment according to the fluctuation value of the adjacent health assessment values of the environment to obtain the final health assessment value of the fermentation environment;

[0129] S400. Initially calculate the fermentation qualification assessment value according to the feed parameters after fermentation, and judge whether to adjust the fermentation qualification assessment value according to the parameter fluctuation value between the feed parameters after fermentation and the feed parameters before fermentation. When it is determined to be adjusted, adjust the fermentation qualification assessment value according to the parameter fluctuation value to obtain the final fermentation qualification assessment value;

[0130] S500. Determine the comprehensive assessment value of the feed fermentation according to the final health assessment value of the fermentation environment and the final fermentation qualification assessment value, and determine the quality grade of the fermented feed according to the comprehensive assessment value.

[0131] It can be understood that through steps S100 and S200, the health assessment value of the fermentation environment can be calculated in real time, and the average value of the assessment value is used as the initial value of the health assessment of the fermentation environment, ensuring the monitoring and detection of the health status of the fermentation process. In step S300, by judging the fluctuation of the health assessment value of the environment, the initial value of the assessment is adjusted intelligently to ensure the accurate reflection of the environmental health during the fermentation process. Step S400 dynamically calculates the fermentation qualification assessment value according to the feed parameters after fermentation and the feed parameters before fermentation, and adjusts it in combination with the fluctuation value to ensure the precise control of nutritional components such as digestible protein content and crude fiber content. Step S500 calculates the comprehensive assessment value through the final health assessment value of the fermentation environment and the fermentation qualification assessment value, so as to classify the quality grade of the fermented feed. In summary, the present invention effectively improves the refined management of the feed fermentation process, ensures the quality consistency of the fermented feed, reduces the uncertain factors during the fermentation process, and further provides an efficient and reliable feed quality control means for the breeding industry.

[0132] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0133] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0134] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0135] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0136] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: still modifications or equivalent substitutions can be made to the specific embodiments of the present invention, and any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A mixed feed fermentation detection system for breeding, characterized in that: include: A collection module is configured to collect fermentation environment parameters during feed fermentation for multiple times at fixed intervals, and collect feed parameters before and after fermentation, wherein the fermentation environment parameters include fermentation temperature, fermentation humidity, airtightness and oxygen concentration, and the feed parameters include digestible protein content and crude fiber content; The data processing module is configured to calculate the fermentation environment health assessment value each time according to the fermentation environment parameters collected each time, calculate the fermentation environment health assessment mean value, and use the fermentation environment health assessment mean value as the fermentation environment health assessment initial value; A judgment and adjustment module is configured to judge whether to adjust the initial value of the fermentation environment health assessment according to the fluctuation of the environmental health assessment value, and when it is judged to be adjusted, the initial value of the fermentation environment health assessment is adjusted according to the fluctuation value of the adjacent environmental health assessment value to obtain a final fermentation environment health assessment value; The judgment and adjustment module is further configured to preliminarily calculate a fermentation qualified evaluation value according to the fermented feed parameters, and judge whether to adjust the fermentation qualified evaluation value according to the parameter fluctuation value of the fermented feed parameters and the feed parameters before fermentation, and when it is judged to be adjusted, adjust the fermentation qualified evaluation value according to the parameter fluctuation value to obtain a final fermentation qualified evaluation value; The grade determination module is configured to determine a comprehensive evaluation value of feed fermentation according to a final fermentation environment health evaluation value and a final fermentation qualification evaluation value, and to determine a quality grade of the fermented feed according to the comprehensive evaluation value.

2. The mixed feed fermentation detection system for breeding according to claim 1, characterized in that: When the collection module is configured to collect the fermentation environment parameters of the feed during the feed fermentation process for multiple times at fixed intervals, it includes: During the feed fermentation process, the fermentation environment parameters are collected at least three times, including: The first fermentation environment parameter collection was carried out at the beginning of feed fermentation; The second fermentation environment parameter collection was conducted in the middle stage of feed fermentation; The third fermentation environmental parameter collection was carried out at the end of feed fermentation.

3. The mixed feed fermentation detection system for breeding according to claim 2, characterized in that: The data processing module is configured to calculate each fermentation environment health assessment value according to each collected fermentation environment parameter, including: The standard fermentation temperature value, fermentation temperature range, standard fermentation humidity value, fermentation humidity range, standard oxygen concentration value and oxygen concentration range are preset, and the temperature score, humidity score, sealing score and oxygen concentration score are calculated according to the following formulas respectively; Ts=1-|(T-Tb) / (Tmax-Tmin)|; Hs=1-|(H-Hb) / (Hmax-Hmin)|; Ss = S; Os=1-|(O-Ob) / (Omax-Omin)|; Wherein, Ts represents the temperature score, T represents the fermentation temperature, Tb represents the standard fermentation temperature value, Tmax represents the upper limit value in the fermentation temperature range, Tmin represents the lower limit value in the fermentation temperature range, Hs represents the humidity score, H represents the fermentation humidity, Hb represents the standard fermentation humidity value, Hmax represents the upper limit value in the fermentation humidity range, Hmin represents the lower limit value in the fermentation humidity range, Ss represents the sealing score, S represents the sealing degree, Os represents the oxygen concentration score, O represents the oxygen concentration, Ob ​​represents the standard oxygen concentration value, Omax represents the upper limit value in the oxygen concentration range, and Omin represents the lower limit value in the oxygen concentration range; Based on the temperature score, humidity score, sealing score and oxygen concentration score, the fermentation environment health assessment value for each time is calculated by the following formula: F1=wT×Ts+wH×Hs+wS×Ss+wO×Os; Among them, F1 represents the fermentation environment health assessment value, wT represents the temperature weight coefficient, Ts represents the temperature score, wH represents the humidity weight coefficient, Hs represents the humidity score, wS represents the sealing weight coefficient, Ss represents the sealing score, wO represents the oxygen concentration weight coefficient, Os represents the oxygen concentration score, wT+wH+wS+wO=1, and wT>wH>wS>wO.

4. The mixed feed fermentation detection system for breeding according to claim 3, characterized in that: The judgment and adjustment module is configured to judge whether to adjust the initial value of the fermentation environment health assessment according to the change fluctuation of the environment health assessment value, including: A maximum fluctuation amplitude is preset. If the fluctuation range between two adjacent environmental health assessment values ​​is less than or equal to the maximum fluctuation amplitude, it is determined that the initial value of the fermentation environmental health assessment is not adjusted, and the initial value of the fermentation environmental health assessment is used as the final fermentation environmental health assessment value; If the fluctuation value between two adjacent environmental health assessment values ​​is greater than the maximum fluctuation amplitude, it is determined that the initial value of the fermentation environmental health assessment is adjusted, and the adjusted initial value of the fermentation environmental health assessment is used as the final fermentation environmental health assessment value.

5. The mixed feed fermentation detection system for breeding according to claim 4, characterized in that: If the fluctuation value between two adjacent environmental health assessment values ​​is greater than the maximum fluctuation amplitude, it is determined to adjust the initial value of the fermentation environmental health assessment, and the adjusted initial value of the fermentation environmental health assessment is used as the final fermentation environmental health assessment value, including: The initial value of the fermentation environment health assessment is adjusted according to the following formula: Ft=Fz+α×(F3-F2) / n; Among them, Ft represents the final fermentation environment health assessment value, Fz represents the initial value of the fermentation environment health assessment, F3 represents the most recent fermentation environment health assessment value between two adjacent collections, F2 represents the previous fermentation environment health assessment value between two adjacent collections, n represents the number of times the fermentation environment parameters are collected during the feed fermentation process, α represents the adjustment coefficient, 0<α≤1.

6. The mixed feed fermentation detection system for breeding according to claim 5, characterized in that: The judgment and adjustment module preliminarily calculates the fermentation qualification evaluation value according to the fermented feed parameters, including: The standard digestible protein content of the fermented feed and the standard crude fiber content of the fermented feed are preset, and the fermentation qualification evaluation value is calculated by the following formula: Q=β1×[(D-Db) / Db]+β2×[(W-Wb) / Wb]; Among them, Q represents the fermentation qualification assessment value, D represents the digestible protein content of the fermented feed, Db represents the standard digestible protein content of the fermented feed, W represents the crude fiber content of the fermented feed, Wb represents the standard crude fiber content of the fermented feed, β1 represents the weight coefficient of the digestible protein content, β2 represents the weight coefficient of the crude fiber content, and β1+β2=1.

7. The mixed feed fermentation detection system for breeding according to claim 6, characterized in that: The judgment and adjustment module judges whether to adjust the fermentation qualification evaluation value according to the parameter fluctuation value of the feed parameter after fermentation and the feed parameter before fermentation, including: The standard digestible protein content fluctuation value is set in advance, and the digestible protein content fluctuation value before and after feed fermentation is calculated by the following formula; ΔD=|(D-D1) / D1|; Among them, ΔD represents the fluctuation value of digestible protein content, D represents the digestible protein content of the feed after fermentation, and D1 represents the digestible protein content of the feed before fermentation; The standard crude fiber content fluctuation value is preset, and the crude fiber content fluctuation value before and after feed fermentation is calculated by the following formula: ΔW=|(W-W1) / W1|; Among them, ΔW represents the fluctuation value of crude fiber content, W represents the crude fiber content of the feed after fermentation, and W1 represents the crude fiber content of the feed before fermentation; If the digestible protein content fluctuation value is greater than or equal to the standard digestible protein content fluctuation value, and the crude fiber content fluctuation value is greater than or equal to the standard crude fiber content fluctuation value, it is determined that the fermentation qualification evaluation value is not adjusted, and the fermentation qualification evaluation value is the final fermentation qualification evaluation value; If the digestible protein content fluctuation value is smaller than the standard digestible protein content fluctuation value, and / or the crude fiber content fluctuation value is smaller than the standard crude fiber content fluctuation value, it is determined that the fermentation qualification assessment value should be adjusted, and the adjusted fermentation qualification assessment value is used as the final fermentation qualification assessment value.

8. The mixed feed fermentation detection system for breeding according to claim 7, characterized in that: The judgment and adjustment module is configured to adjust the fermentation qualification evaluation value according to the parameter fluctuation value when judging to adjust, and obtain the final fermentation qualification evaluation value, including: The fermentation qualification evaluation value is adjusted using the following formula to obtain the adjusted fermentation qualification evaluation value, that is, the final fermentation qualification evaluation value: Qt=Q+γ×[(ΔD-ΔDb)+(ΔW-ΔWb)]; Among them, Qt represents the fermentation qualification assessment value after adjustment, Q represents the fermentation qualification assessment value before adjustment, γ represents the feed parameter adjustment coefficient, 0<γ≤1, ΔD represents the fluctuation value of digestible protein content, ΔDb represents the fluctuation value of standard digestible protein content, ΔW represents the fluctuation value of crude fiber content, and ΔWb represents the fluctuation value of standard crude fiber content.

9. The mixed feed fermentation detection system for breeding according to claim 8, characterized in that: The grade determination module determines the comprehensive evaluation value of feed fermentation according to the final fermentation environment health evaluation value and the final fermentation qualification evaluation value, and determines the quality grade of the fermented feed according to the comprehensive evaluation value, including: The final fermentation environment health assessment value and the final fermentation qualification assessment value are weighted and summed to obtain a comprehensive assessment value of feed fermentation, and the sum of the weight coefficient of the final fermentation environment health assessment value and the weight coefficient of the final fermentation qualification assessment value is 1; Presetting a first comprehensive evaluation value and a second comprehensive evaluation value, wherein the first comprehensive evaluation value is greater than the second comprehensive evaluation value; If the comprehensive evaluation value is greater than or equal to the first comprehensive evaluation value, the quality grade of the fermented feed is determined to be level one; If the comprehensive evaluation value is greater than or equal to the second comprehensive evaluation value, and the comprehensive evaluation value is less than the first comprehensive evaluation value, the quality grade of the fermented feed is determined to be level 2; If the comprehensive evaluation value is less than the second comprehensive evaluation value, the quality grade of the fermented feed is determined to be grade three.

10. A method for detecting fermentation of mixed feed for aquaculture, applied to the mixed feed fermentation detection system for aquaculture as claimed in any one of claims 1 to 9, characterized in that: include: Collecting fermentation environment parameters during feed fermentation multiple times at fixed intervals, collecting feed parameters before and after fermentation, wherein the fermentation environment parameters include fermentation temperature, fermentation humidity, airtightness and oxygen concentration, and the feed parameters include digestible protein content and crude fiber content; Calculate each fermentation environment health assessment value according to the fermentation environment parameters collected each time, calculate the fermentation environment health assessment mean value, and use the fermentation environment health assessment mean value as the fermentation environment health assessment initial value; Determine whether to adjust the initial value of the fermentation environment health assessment according to the fluctuation of the environmental health assessment value, and when it is determined to be adjusted, adjust the initial value of the fermentation environment health assessment according to the fluctuation value of the adjacent environmental health assessment value to obtain the final fermentation environment health assessment value; Preliminarily calculating a fermentation qualified evaluation value according to the feed parameters after fermentation, and judging whether to adjust the fermentation qualified evaluation value according to the parameter fluctuation value of the feed parameters after fermentation and the feed parameters before fermentation, and when judging to adjust, adjusting the fermentation qualified evaluation value according to the parameter fluctuation value to obtain a final fermentation qualified evaluation value; The comprehensive evaluation value of feed fermentation is determined according to the final fermentation environment health evaluation value and the final fermentation qualification evaluation value, and the quality grade of the fermented feed is determined according to the comprehensive evaluation value.

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