Crushing control method and system for chicken bone protein feed

Abstract

The invention relates to the technical field of chicken bone protein feed crushing control, and discloses a chicken bone protein feed crushing control method and system, and the method comprises the steps: obtaining the feed intake data of a fed animal at each stage, obtaining the protein component data of each particle size after the feed is crushed, and establishing a feed crushing model of the fed animals according to the relationship between the feed intake data of the fed animals at each stage and the protein component data of each granularity. And obtaining growth stage information of the to-be-raised animal, substituting the growth stage information of the to-be-raised animal into the feed crushing model of the raised animal, and obtaining the preset feed granularity of the to-be-raised animal according to the feed crushing model of the raised animal. And obtaining the granularity of the crushed feed and the mixing degree of each component, and determining whether to control the crushing of the feed to be crushed or not according to the relationship between the granularity of the crushed feed and the preset granularity of the feed. According to the invention, the feed crushing process is optimized, so that the nutritional requirements of animals in different growth stages are met.

Description

Technical Field

[0001] The invention relates to the technical field of chicken bone protein feed pulverization control, and in particular to a chicken bone protein feed pulverization control method and system. Background Art

[0002] In modern animal husbandry production, the nutritional needs of animals vary significantly with their growth stages. Scientifically and rationally providing animals at different stages with suitable feed particle size and nutrients is an important technical means to ensure the healthy growth of animals and improve feed utilization. Especially in the feed preparation process, the particle size of the feed directly affects the animal's eating behavior, digestion and absorption rate, and the utilization efficiency of nutrients. However, the existing feed crushing technology is insufficient in accurately controlling the feed particle size and matching the nutritional needs of animals at different stages, making it difficult to produce personalized feed according to the specific growth stage of the animal.

[0003] At present, the feed crushing process in the prior art usually controls the particle size of the feed only based on equipment parameters, lacking detailed analysis and feedback control of the animal's growth stage, its eating behavior, and particle size requirements. This traditional method cannot dynamically adjust the feed particle size, resulting in animals at various growth stages may not be able to obtain the most suitable feed particle size, affecting their digestion and absorption efficiency. For example, young animals usually need finer granular feed for digestion, while adult animals are more adaptable to larger particle feed, but the existing crushing process often cannot accurately meet this differentiated demand. At the same time, the distribution of nutrients such as protein in the feed may also be affected by changes in particle size. Feeds of different particle sizes may cause uneven distribution of nutrients during the crushing process, thereby failing to meet the animal's needs for specific nutrients at various stages. Therefore, the prior art often lacks effective control of the nutrients in the feed during the crushing process, resulting in uneven distribution of certain important nutrients in the crushed feed, affecting the overall nutritional value of the feed.

[0004] Therefore, there is an urgent need to invent a chicken bone protein feed pulverizing technology to solve the problem in the prior art that important nutrients are unevenly distributed in the pulverized feed, thereby affecting the overall nutritional value of the feed. Summary of the invention

[0005] In view of this, the present invention proposes a pulverization control method and system for chicken bone protein feed, aiming to solve the problem in the current technology that important nutrients are unevenly distributed in the pulverized feed, thereby affecting the overall nutritional value of the feed.

[0006] The present invention provides a method for controlling the crushing of chicken bone protein feed, comprising:

[0007] Obtaining feed intake data of the animals at various stages, wherein the feed intake data includes feed intake data of various particle sizes of the animals at the juvenile stage, feed intake data of various particle sizes of the animals at the adolescent stage, feed intake data of various particle sizes of the animals at the adult stage, and feed intake data of various particle sizes of the animals at the old stage;

[0008] Obtaining protein component data of each particle size after feed crushing, and establishing a feed crushing model for the feed animals according to the relationship between the feed intake data of the feed animals at each stage and the protein component data of each particle size;

[0009] Acquiring growth stage information of the animal to be raised, substituting the growth stage information of the animal to be raised into a feed crushing model for the animal to be raised, and acquiring a preset feed particle size for the animal to be raised according to the feed crushing model for the animal to be raised;

[0010] The particle size of the feed after crushing and the degree of mixing of each component are obtained, and according to the relationship between the particle size of the feed after crushing and the preset particle size of the feed, it is determined whether to control the crushing of the feed to be crushed.

[0011] Furthermore, obtaining the protein component data of each particle size after the feed is crushed, and establishing the feed crushing model for the raised animals according to the relationship between the feed intake data of the raised animals at each stage and the protein component data of each particle size, includes:

[0012] Obtaining the intake amount of feed of each particle size in the same environment at each stage of the raised animal, and establishing a linear axis of the intake amount of the raised animal at each stage according to the intake amount of feed of each particle size;

[0013] Determining the protein supplement amount of the feed of each particle size to be given to the feeding animal according to the relationship between the protein components of each particle size and the linear axis of the food intake of the feeding animal at each stage;

[0014] According to the relationship between the protein supplement amount and the protein requirement of the raised animals at various stages, a feed crushing model for the raised animals is established.

[0015] Furthermore, according to the relationship between the protein supplement amount and the protein requirement of the raised animals at each stage, a feed crushing model for the raised animals is established, which includes:

[0016] The effective feed intake of the animal is determined based on the relationship between the protein supplement amount and the protein requirement of the animal at each stage, wherein:

[0017] When the protein supplement amount is lower than the protein requirement, the intake amount of feed with a particle size corresponding to the protein requirement is determined to be an ineffective intake amount;

[0018] When the protein supplement amount is equal to the protein requirement, the intake amount of feed with a particle size corresponding to the protein requirement is determined as the effective intake amount;

[0019] When the protein supplement amount is higher than the protein requirement, the intake amount of feed with a particle size corresponding to the protein requirement is determined to be an excessive intake amount;

[0020] According to the effective feed intake of the raised animals at each stage and the corresponding particle size feed, establishing a relationship formula for each particle size of the raised animals at each stage;

[0021] Obtaining a distance metric between each of the granularity relationship expressions;

[0022] Constructing a distance matrix according to the distance metric, and recursively merging the granularity relationship expressions according to the distance matrix;

[0023] The particle size relationship formula of each stage of the raised animal is obtained after recursive merging, and a feed crushing model for the raised animal is established according to the particle size relationship formula corresponding to each stage of the raised animal.

[0024] Further, determining whether to control the crushing of the feed to be crushed according to the relationship between the particle size of the feed after crushing and the preset feed particle size includes:

[0025] Obtain a comparison result between the particle size of the feed after crushing and the preset particle size of the feed, wherein:

[0026] If the particle size of the feed after being crushed is lower than or equal to the preset feed particle size, then the crushing of the feed to be crushed is not controlled;

[0027] If the particle size of the feed after crushing is higher than the preset feed particle size, an adjustment coefficient is determined according to the particle size difference between the particle size of the feed after crushing and the preset feed particle size, and the crushing time of the feed to be crushed is adjusted according to the adjustment coefficient.

[0028] Furthermore, when determining the adjustment coefficient according to the particle size difference between the particle size of the feed after crushing and the preset particle size of the feed, it includes:

[0029] Determine the adjustment coefficient according to the relationship between the granularity difference and the configured first preset granularity difference and the second preset granularity difference;

[0030] When the particle size difference is lower than the first preset particle size difference, the adjustment coefficient is determined to be M1;

[0031] When the particle size difference is higher than or equal to the first preset particle size difference, and the particle size difference is lower than the second preset particle size difference, the adjustment coefficient is determined to be M2;

[0032] When the particle size difference is greater than or equal to the second preset particle size difference, the adjustment coefficient is determined to be M3;

[0033] The first preset granularity difference is smaller than the second preset granularity difference, and M1<M2<M3<1.

[0034] Further, when the adjustment coefficient is determined to be Mi, i=1, 2, 3, including:

[0035] The preset mixing degree of the feed after grinding is obtained according to the feed grinding model, and whether to correct the adjustment coefficient Mi is determined according to the relationship between the mixing degree of each component of the feed after grinding and the preset mixing degree, wherein:

[0036] If the mixing degree of the components after the feed is crushed is higher than or equal to the preset mixing degree, it is determined that the adjustment coefficient Mi is not to be corrected;

[0037] If the mixing degree of the components after the feed is crushed is lower than the preset mixing degree, a correction coefficient is determined according to the relationship between the mixing degree of the components after the feed is crushed and the preset mixing degree, and the adjustment coefficient Mi is corrected according to the correction coefficient.

[0038] Furthermore, when determining the correction coefficient according to the relationship between the mixing degree of each component after the feed is crushed and the preset mixing degree, it includes:

[0039] The mixing degree difference between the mixing degree of each component of the feed after crushing and the preset mixing degree is obtained, and the correction coefficient is determined according to the relationship between the mixing degree difference and the configured first preset mixing degree difference and the second preset mixing degree difference:

[0040] When the mixing degree difference is lower than the first preset mixing degree difference, the correction coefficient is determined to be N1;

[0041] When the mixing degree difference is higher than or equal to the first preset mixing degree difference, and the mixing degree difference is lower than the second preset mixing degree difference, determining the correction coefficient to be N2;

[0042] When the mixing degree difference is higher than or equal to the second preset mixing degree difference, the correction coefficient is determined to be N3;

[0043] The first preset mixing degree difference is smaller than the second preset mixing degree difference, and N1<N2<N3<1.

[0044] Further, when the correction coefficient is determined to be N i, i=1, 2, 3, including:

[0045] Obtaining the moisture of the feed to be crushed when it is crushed, and judging whether to correct the correction coefficient Ni according to the relationship between the moisture of the feed and a preset moisture;

[0046] When the feed humidity is lower than the preset humidity, it is determined that the correction coefficient Ni is not corrected;

[0047] When the feed humidity is higher than or equal to the preset humidity, a correction coefficient is determined according to the relationship between the feed humidity and the preset humidity, and the correction coefficient Ni is corrected according to the correction coefficient.

[0048] Furthermore, according to the relationship between the feed humidity and the preset humidity, the correction coefficient is determined, including:

[0049] Obtaining a humidity difference between the feed humidity and a preset humidity, and determining the correction coefficient according to a relationship between the humidity difference and a configured first preset humidity difference and a second preset humidity difference;

[0050] When the humidity difference is lower than or equal to the first preset humidity difference, the correction coefficient is determined to be L1;

[0051] When the humidity difference is higher than the first preset humidity difference and the humidity difference is lower than or equal to the second preset humidity difference, the correction coefficient is determined to be L2;

[0052] When the humidity difference is higher than the second preset humidity difference, the correction coefficient is determined to be L3;

[0053] The first preset humidity difference is smaller than the second preset humidity difference, and L1<L2<L3<1.

[0054] Compared with the prior art, the beneficial effect of the present invention is that by comprehensively collecting and analyzing the feed intake data of the animals at different growth stages, the different requirements of the animals for feed particle size in the infancy, youth, adulthood and old age can be accurately understood. This phased data collection method enables the particle size of the feed to be adjusted in a targeted manner during the feed crushing process to meet the specific needs of animals at different growth stages. For example, young animals usually need finer feed particles for easy digestion, while adult animals may be more adapted to larger particles. This targeted adjustment not only helps to improve the feeding efficiency and digestion and absorption rate of the animals, but also prevents feed waste caused by inappropriate particle size. Secondly, by obtaining the protein component data of each particle size after the feed is crushed, and combining the feed intake data of the animals at various stages, the method can establish an accurate feed crushing model. This model optimizes the crushing parameters of the feed according to the needs of the animals at different growth stages to ensure that the crushed feed has the best particle size and nutrient distribution. This data-driven model can effectively improve the accuracy of feed production and avoid the nutritional imbalance and particle size inappropriateness caused by the inability to adjust the crushing parameters in real time in the traditional method. Finally, by real-time monitoring of the particle size of the feed after grinding and the degree of mixing of each component, and by comparing the actual grinding results with the preset feed particle size, possible deviations in the grinding process can be quickly identified and corrected. This real-time feedback mechanism not only improves the control accuracy of the grinding process, but also reduces the waste of resources and production costs caused by improper grinding. At the same time, this method can ensure the uniform distribution of feed nutrients in different particle sizes, thereby improving animal health and production performance.

[0055] On the other hand, the present application also provides a chicken bone protein feed crushing control system, comprising:

[0056] The data acquisition module is used to obtain the feed intake data of the animals at each stage of feeding and the protein component data of each particle size after the feed is crushed;

[0057] A model generation module, electrically connected to the data acquisition module, and used for establishing a feed crushing model for the raised animals according to the relationship between the feed intake data of the raised animals at each stage and the protein component data of each particle size;

[0058] an analysis module, electrically connected to the model generation module, the analysis module being used to obtain growth stage information of the animal to be raised, substitute the growth stage information of the animal to be raised into the feed crushing model of the animal to be raised, and obtain a preset feed particle size of the animal to be raised according to the feed crushing model of the animal to be raised;

[0059] The control module is electrically connected to the analysis module and the crushing device respectively. The control module is used to obtain the particle size of the feed after crushing and the mixing degree of each component, and determine whether to control the crushing of the feed to be crushed according to the relationship between the particle size of the feed after crushing and the preset feed particle size.

[0060] It can be understood that the chicken bone protein feed crushing control method and system in the above-mentioned embodiments of the present invention have the same beneficial effects and will not be described in detail. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0062] Figure 1 A flowchart of a chicken bone protein feed crushing control method provided by an embodiment of the present invention;

[0063] Figure 2 This is a functional block diagram of a chicken bone protein feed crushing control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0064] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0065] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides a method for controlling the crushing of chicken bone protein feed, comprising:

[0066] Step S100: Obtain feed intake data of animals at various stages of feeding.

[0067] Specifically, the feed intake data includes feed intake data of various particle sizes of the young animals, feed intake data of various particle sizes of the young animals, feed intake data of various particle sizes of the adult animals, and feed intake data of various particle sizes of the old animals.

[0068] Step S200, obtaining protein component data of each particle size after feed grinding, and establishing a feed grinding model for feeding animals according to the relationship between feed intake data of feeding animals at different stages and protein component data of each particle size.

[0069] Specifically, the protein component data of each particle size after feed crushing is obtained, and the feed crushing model for the raised animals is established based on the relationship between the feed intake data of the raised animals at each stage and the protein component data of each particle size, including: obtaining the intake of feed of each particle size in the same environment at each stage of the raised animals, and establishing the linear axis of the intake of the raised animals at each stage based on the intake of feed of each particle size. According to the relationship between the protein components of each particle size and the linear axis of the intake of the raised animals at each stage, the protein supplement of the feed of each particle size given to the raised animals is determined. According to the relationship between the protein supplement and the protein requirement of the raised animals at each stage, the feed crushing model for the raised animals is established.

[0070] Specifically, when establishing a feed crushing model for feeding animals according to the relationship between the protein supplement amount and the protein requirement of each stage of feeding animals, the method includes: determining the effective feeding amount of feeding animals according to the relationship between the protein supplement amount and the protein requirement of each stage of feeding animals, wherein: when the protein supplement amount is lower than the protein requirement, the feeding amount of the particle size feed corresponding to the protein requirement is determined to be the invalid feeding amount. When the protein supplement amount is equal to the protein requirement, the feeding amount of the particle size feed corresponding to the protein requirement is determined to be the effective feeding amount. When the protein supplement amount is higher than the protein requirement, the feeding amount of the particle size feed corresponding to the protein requirement is determined to be the excessive feeding amount. According to the effective feeding amount of each stage of feeding animals and the corresponding particle size feed, each particle size relational expression of each stage of feeding animals is established. The distance metric between each particle size relational expression is obtained. A distance matrix is ​​constructed according to the distance metric, and each particle size relational expression is recursively merged according to the distance matrix. The particle size relational expression of each stage of feeding animals after recursive merging is obtained, and the feed crushing model for feeding animals is established according to the particle size relational expression corresponding to each stage of feeding animals.

[0071] It can be seen that by obtaining the data of the intake of different particle sizes of feed for animals at different stages under the same environment, the linear axis of the intake of animals at different stages was established. These data not only reflect the intake of animals under different particle sizes of feed, but also provide basic data support for the subsequent model establishment. By analyzing these data, it is possible to determine how the actual intake of animals at each stage changes with the change of particle size, thus laying the foundation for the precise regulation of the feed crushing process. Next, by analyzing the protein component data of each particle size after the feed is crushed, and combining the linear axis of the intake of animals at each stage, the protein supplement of feeds with different particle sizes is determined. This process involves matching the protein component data with the linear axis of the animal's intake to calculate the amount of protein that can be provided by each particle size feed. This calculation result provides key parameters for further model establishment, enabling precise protein supply adjustment based on the specific needs of animals at each growth stage. After determining the amount of protein supplement, the effective intake of feed is further refined by comparing the relationship between the amount of supplement and the protein requirement of animals at each stage. Specifically, when the amount of supplementation is lower than the amount required, the protein supplied is insufficient and the amount of food intake is considered ineffective; when the amount of supplementation is equal to the amount required, the amount of food intake is considered effective; and when the amount of supplementation exceeds the amount required, the amount of food intake is considered excessive. Through this classification, the actual nutritional supply effect of the feed can be evaluated more accurately, and the crushing parameters can be adjusted to optimize the particle size of the feed. Finally, by establishing a relationship between the effective amount of food intake and the particle size feed, and using the distance metric to construct a distance matrix. This matrix can reflect the similarities and differences between different particle size relationship formulas, and by recursively merging the relationship formulas, a more accurate particle size relationship model can be obtained. This recursive merging process can integrate multiple particle size relationship formulas into a comprehensive model, thereby realizing personalized feed crushing control for animals at different growth stages. This method ensures that the nutritional needs of animals can be accurately met during the feed crushing process, thereby improving the utilization efficiency of feed and the growth effect of animals, and has important practical application value.

[0072] Specifically, the protein component data of feeds with different particle sizes are obtained, and the intake of these feeds by animals at different growth stages is recorded. Then, a mathematical relationship is established between the particle size of the feed and the effective intake of the animal. By using the linear regression method, the following relationship is established: Ei = f(Pi), where Ei represents the effective intake of feed with the i-th particle size, Pi represents the protein component of the feed with this particle size, and f is the established function.

[0073] Secondly, the distance measurement method is used to calculate the similarities and differences between relations of different granularities. The distance measurement formula is as follows:

[0074]

[0075] Among them, D ij represents the distance between the i-th and j-th particle size relationship, R ik and R jk is the value of each relation at the kth data point.

[0076] Finally, using the distance matrix, similar relationships are recursively merged to form a comprehensive granular relationship model. The merged model can be expressed as:

[0077]

[0078] Among them, R combined represents the combined relation, B is the number of combined relations, R i is the i-th relation.

[0079] It can be understood that by systematically collecting data on protein components of feeds with different particle sizes, and recording the actual food intake of animals at different growth stages. These data are used to establish a linear regression model to describe the relationship between feed particle size (Pi) and the effective food intake of animals (Ei). Through linear regression analysis, a relationship Ei=f(Pi) is obtained, where f is the regression function, which can accurately reflect the effect of protein components of feeds with different particle sizes on animal food intake. This step provides basic data and mathematical descriptions for subsequent model optimization, ensuring that the model can truly reflect the actual impact of feed particle size on animals. Secondly, the established relationship equations with different particle sizes are analyzed for similarities and differences through the distance measurement method. Specifically, the distance between relationship equations with different particle sizes is calculated using the formula Where D ij represents the distance between the i-th and j-th relations, R ik and R jk is the value of each relation at the kth data point. This distance measurement method can quantify the differences between relations of different granularities and provide a basis for similarity matching in the merging process. By calculating the distance matrix, we can clearly understand which relations are similar in features, and thus decide which relations can be merged. Finally, the distance matrix is ​​used to recursively merge similar relations to form a comprehensive granularity relationship model. The merged model can be obtained by the formula Represented as Rcombined, where Rcombined is the combined comprehensive relational expression, B is the number of relations involved in the combination, and Ri is the i-th relational expression. Through recursive merging, similar relations are integrated into a more accurate and comprehensive model, which not only improves the robustness and accuracy of the model, but also optimizes the particle size control during the feed crushing process. This comprehensive model can more accurately predict and adjust the feed particle size to meet the specific nutritional needs of animals at different growth stages, and ultimately improve the feed utilization efficiency and animal growth effect.

[0080] Step S300, obtaining growth stage information of the animal to be raised, substituting the growth stage information of the animal to be raised into a feed crushing model for the animal to be raised, and obtaining a preset feed particle size for the animal to be raised according to the feed crushing model for the animal to be raised.

[0081] Specifically, by obtaining the growth stage information of the animals to be raised, which includes key factors such as the age, weight, and growth rate of the animals. Then, this stage information is substituted into the established feed crushing model, which makes predictions based on the relationship between the nutritional requirements and feed particle size at different growth stages. Through model calculation, the preset feed particle size suitable for the current growth stage of the animal is determined. This process realizes the personalized adjustment of feed particle size, ensuring that the feed can meet the specific nutritional needs of animals at different growth stages, thereby optimizing the nutritional benefits of the feed and improving the growth effect of the animals.

[0082] It is understandable that obtaining the growth stage information of the animal to be raised is a key step, because the nutritional requirements of animals at different growth stages (such as juvenile, adolescent, adult, etc.) are different. Growth stage information usually includes the age, weight, gender, health status and growth rate of the animal. This information can provide a detailed background about the current physiological state and nutritional requirements of the animal, providing the necessary data basis for the application of the model. Next, the acquired growth stage information is input into the established feed grinding model. This model is based on previous feed data and the nutritional requirements of animals at different stages, and can predict the specific effects of feeds with different particle sizes on animals. The model calculates the feed particle size suitable for that stage by comparing the animal's growth stage information with the data in the model. This model usually takes into account multiple factors, including the animal's intake of feeds of different particle sizes, the nutrients in the feed (such as protein, vitamins, minerals, etc.), and the effects of these ingredients on animal growth. Finally, the model is used to obtain the preset feed particle size required for the current growth stage of the animal to be raised. This step ensures that the feed particle size can match the actual nutritional needs of the animal, thereby providing the best nutritional support. For example, for young animals, the model may recommend the use of finer feed particles for easier digestion and absorption, while adult animals may require larger particle sizes to facilitate chewing and digestion. Through this personalized feed particle size adjustment, the utilization efficiency and nutritional effect of feed can be maximized, promoting the health and growth of animals.

[0083] Step S400, obtaining the particle size of the feed after crushing and the degree of mixing of each component, and determining whether to control the crushing of the feed to be crushed according to the relationship between the particle size of the feed after crushing and the preset particle size of the feed.

[0084] Specifically, according to the relationship between the particle size of the feed after being crushed and the preset feed particle size, determining whether to control the crushing of the feed to be crushed includes: obtaining a comparison result between the particle size of the feed after being crushed and the preset feed particle size, wherein: if the particle size of the feed after being crushed is lower than or equal to the preset feed particle size, then the crushing of the feed to be crushed is not controlled. If the particle size of the feed after being crushed is higher than the preset feed particle size, then according to the particle size difference between the particle size of the feed after being crushed and the preset feed particle size, an adjustment coefficient is determined, and the crushing time of the feed to be crushed is adjusted according to the adjustment coefficient.

[0085] Specifically, when determining the adjustment coefficient based on the particle size difference between the particle size of the feed after crushing and the preset feed particle size, it includes: determining the adjustment coefficient based on the relationship between the particle size difference and the configured first preset particle size difference and the second preset particle size difference. When the particle size difference is lower than the first preset particle size difference, the adjustment coefficient is determined to be M1. When the particle size difference is higher than or equal to the first preset particle size difference, and the particle size difference is lower than the second preset particle size difference, the adjustment coefficient is determined to be M2. When the particle size difference is higher than or equal to the second preset particle size difference, the adjustment coefficient is determined to be M3. Among them, the first preset particle size difference is less than the second preset particle size difference, and M1<M2<M3<1.

[0086] Specifically, when the adjustment coefficient is determined to be Mi, i=1, 2, 3, it includes: obtaining a preset mixing degree after the feed is crushed according to the feed crushing model, and determining whether to correct the adjustment coefficient Mi according to the relationship between the mixing degree of each component after the feed is crushed and the preset mixing degree, wherein: if the mixing degree of each component after the feed is crushed is higher than or equal to the preset mixing degree, it is determined not to correct the adjustment coefficient Mi. If the mixing degree of each component after the feed is crushed is lower than the preset mixing degree, the correction coefficient is determined according to the relationship between the mixing degree of each component after the feed is crushed and the preset mixing degree, and the adjustment coefficient Mi is corrected according to the correction coefficient.

[0087] Specifically, when determining the correction coefficient according to the relationship between the mixing degree of each component after the feed is crushed and the preset mixing degree, it includes: obtaining the mixing degree difference between the mixing degree of each component after the feed is crushed and the preset mixing degree, and determining the correction coefficient according to the relationship between the mixing degree difference and the configured first preset mixing degree difference and second preset mixing degree difference: when the mixing degree difference is lower than the first preset mixing degree difference, the correction coefficient is determined to be N1. When the mixing degree difference is higher than or equal to the first preset mixing degree difference, and the mixing degree difference is lower than the second preset mixing degree difference, the correction coefficient is determined to be N2. When the mixing degree difference is higher than or equal to the second preset mixing degree difference, the correction coefficient is determined to be N3. Among them, the first preset mixing degree difference is less than the second preset mixing degree difference, and N1<N2<N3<1.

[0088] Specifically, when the correction coefficient is determined to be Ni, i=1, 2, 3, it includes: obtaining the feed humidity when the feed to be crushed is crushed, and judging whether to correct the correction coefficient Ni according to the relationship between the feed humidity and the preset humidity: when the feed humidity is lower than the preset humidity, it is determined not to correct the correction coefficient Ni. When the feed humidity is higher than or equal to the preset humidity, the correction coefficient is determined according to the relationship between the feed humidity and the preset humidity, and the correction coefficient Ni is corrected according to the correction coefficient.

[0089] Specifically, when determining the correction coefficient according to the relationship between the feed humidity and the preset humidity, it includes: obtaining the humidity difference between the feed humidity and the preset humidity, and determining the correction coefficient according to the relationship between the humidity difference and the configured first preset humidity difference and second preset humidity difference. When the humidity difference is lower than or equal to the first preset humidity difference, the correction coefficient is determined to be L1. When the humidity difference is higher than the first preset humidity difference, and the humidity difference is lower than or equal to the second preset humidity difference, the correction coefficient is determined to be L2. When the humidity difference is higher than the second preset humidity difference, the correction coefficient is determined to be L3. Among them, the first preset humidity difference is less than the second preset humidity difference, and L1<L2<L3<1.

[0090] It can be seen that by obtaining the actual feed particle size and mixing degree data after crushing, and comparing them with the preset feed particle size and mixing degree. The core of this step is to determine the gap between the actual crushing result and the ideal result, especially the deviation of particle size. If the actual particle size is higher than the preset particle size, it means that the current crushing process may not fully meet the expected refinement standard, so appropriate adjustments are required. Then, according to the relationship between the particle size difference and the preset particle size, the adjustment coefficient is determined. Specifically, when the particle size difference is lower than the first preset particle size difference, a smaller adjustment coefficient M1 is selected; when the particle size difference is between the first and second preset particle size differences, a medium adjustment coefficient M2 is selected; when the particle size difference is higher than or equal to the second preset particle size difference, a larger adjustment coefficient M3 is selected. In addition, it is ensured that when the particle size difference is large, the adjustment strength of the crushing time is also increased accordingly to achieve a finer crushing effect. Further, when the adjustment coefficient is determined, the relationship between the actual mixing degree and the preset mixing degree needs to be considered. If the actual mixing degree is lower than the preset value, the adjustment coefficient may need to be corrected. The corresponding correction coefficient is selected based on the mixing degree difference. When the difference in the degree of mixing is lower than the first preset difference, a smaller correction coefficient N1 is used; when the difference in the degree of mixing is between the first and second preset differences, a medium correction coefficient N2 is used; when the difference in the degree of mixing is higher than or equal to the second preset difference, a larger correction coefficient N3 is used. This ensures that when the deviation in the degree of mixing is large, the adjustment amplitude will also increase accordingly, thereby optimizing the degree of mixing. Finally, considering the influence of feed humidity on the crushing process, it is necessary to correct the correction coefficient according to the relationship between the actual feed humidity and the preset humidity. When the feed humidity is higher than the preset humidity, the correction coefficient needs to be further adjusted. The determination of the correction coefficient is also based on the humidity difference and is compared with the preset first and second humidity differences. When the humidity difference is lower than or equal to the first preset humidity difference, a smaller correction coefficient L1 is selected; when the humidity difference is between the first and second preset humidity differences, a medium correction coefficient L2 is selected; when the humidity difference is higher than the second preset humidity difference, a larger correction coefficient L3 is selected. These correction coefficients follow an increasing relationship, ensuring that the crushing process can be accurately adjusted in the case of large humidity changes, further optimizing the final quality and use effect of the feed.

[0091] In the above embodiment, by comprehensively collecting and analyzing the feed intake data of the animals at different growth stages, it is possible to accurately understand the different needs of the animals for feed particle size in infancy, youth, adulthood and old age. This phased data collection method enables the particle size of the feed to be adjusted in a targeted manner during the feed crushing process to meet the specific needs of animals at different growth stages. For example, young animals usually need finer feed particles for easy digestion, while adult animals may be more adapted to larger particles. This targeted adjustment not only helps to improve the feeding efficiency and digestion and absorption rate of the animals, but also prevents feed waste caused by inappropriate particle size. Secondly, by obtaining the protein component data of each particle size after the feed is crushed, and combining the feed intake data of the animals at various stages, the method can establish an accurate feed crushing model. This model optimizes the crushing parameters of the feed according to the needs of the animals at different growth stages to ensure that the crushed feed has the best particle size and nutrient distribution. This data-driven model can effectively improve the accuracy of feed production and avoid the nutritional imbalance and particle size inappropriateness caused by the inability to adjust the crushing parameters in real time in the traditional method. Finally, by real-time monitoring of the particle size of the feed after grinding and the degree of mixing of each component, and by comparing the actual grinding results with the preset feed particle size, possible deviations in the grinding process can be quickly identified and corrected. This real-time feedback mechanism not only improves the control accuracy of the grinding process, but also reduces the waste of resources and production costs caused by improper grinding. At the same time, this method can ensure the uniform distribution of feed nutrients in different particle sizes, thereby improving animal health and production performance.

[0092] In another preferred embodiment based on the above embodiment, Figure 2 As shown, this embodiment provides a chicken bone protein feed crushing control system, including: a data acquisition module, a model generation module, an analysis module and a control module.

[0093] Specifically, the data acquisition module is used to obtain the feed intake data of the animals to be raised at each stage and the protein component data of each particle size after the feed is crushed. The model generation module is electrically connected to the data acquisition module, and the model generation module is used to establish a feed crushing model for the animals to be raised according to the relationship between the feed intake data of the animals to be raised at each stage and the protein component data of each particle size. The analysis module is electrically connected to the model generation module, and the analysis module is used to obtain the growth stage information of the animals to be raised, substitute the growth stage information of the animals to be raised into the feed crushing model for the animals to be raised, and obtain the preset feed particle size of the animals to be raised according to the feed crushing model for the animals to be raised. The control module is electrically connected to the analysis module and the crushing equipment respectively, and the control module is used to obtain the particle size of the feed after crushing and the mixing degree of each component, and determine whether to control the crushing of the feed to be crushed according to the relationship between the particle size of the feed after crushing and the preset feed particle size.

[0094] It can be understood that the chicken bone protein feed crushing control method and system in the above-mentioned embodiments of the present invention have the same beneficial effects and will not be described in detail.

[0095] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt 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.) containing computer-usable program codes.

[0096] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for controlling the crushing of chicken bone protein feed, characterized in that: include: Obtaining feed intake data of the animals at various stages, wherein the feed intake data includes feed intake data of various particle sizes of the animals at the juvenile stage, feed intake data of various particle sizes of the animals at the adolescent stage, feed intake data of various particle sizes of the animals at the adult stage, and feed intake data of various particle sizes of the animals at the old stage; Obtaining protein component data of each particle size after feed crushing, and establishing a feed crushing model for the feed animals according to the relationship between the feed intake data of the feed animals at each stage and the protein component data of each particle size; Acquiring growth stage information of the animal to be raised, substituting the growth stage information of the animal to be raised into a feed crushing model for the animal to be raised, and acquiring a preset feed particle size for the animal to be raised according to the feed crushing model for the animal to be raised; The particle size of the feed after crushing and the degree of mixing of each component are obtained, and according to the relationship between the particle size of the feed after crushing and the preset particle size of the feed, it is determined whether to control the crushing of the feed to be crushed.

2. The chicken bone protein feed pulverization control method according to claim 1, characterized in that: The protein component data of each particle size after the feed is crushed is obtained, and the feed crushing model for the raised animals is established according to the relationship between the feed intake data of the raised animals at each stage and the protein component data of each particle size, including: Obtaining the intake amount of feed of each particle size in the same environment at each stage of the raised animal, and establishing a linear axis of the intake amount of the raised animal at each stage according to the intake amount of feed of each particle size; Determine the protein supplement amount of the feed of each particle size given to the feeding animal according to the relationship between the protein components of each particle size and the linear axis of the food intake of the feeding animal at each stage; According to the relationship between the protein supplement amount and the protein requirement of the raised animals at various stages, a feed crushing model for the raised animals is established.

3. The chicken bone protein feed pulverization control method according to claim 2, characterized in that: According to the relationship between the protein supplement amount and the protein requirement of the animal at each stage, the feed crushing model for the animal is established, including: The effective feed intake of the animal is determined based on the relationship between the protein supplement amount and the protein requirement of the animal at each stage, wherein: When the protein supplement amount is lower than the protein requirement, the intake amount of feed with a particle size corresponding to the protein requirement is determined to be an ineffective intake amount; When the protein supplement amount is equal to the protein requirement, the intake amount of feed with a particle size corresponding to the protein requirement is determined as the effective intake amount; When the protein supplement amount is higher than the protein requirement, the intake amount of feed with a particle size corresponding to the protein requirement is determined to be an excessive intake amount; According to the effective feed intake of the raised animals at each stage and the corresponding particle size feed, establishing a relationship formula for each particle size of the raised animals at each stage; Obtaining a distance metric between each of the granularity relationship expressions; Constructing a distance matrix according to the distance metric, and recursively merging the granularity relationship expressions according to the distance matrix; The particle size relationship formula of each stage of the raised animal is obtained after recursive merging, and a feed crushing model for the raised animal is established according to the particle size relationship formula corresponding to each stage of the raised animal.

4. The chicken bone protein feed pulverization control method according to claim 1, characterized in that: Determining whether to control the crushing of the feed to be crushed according to the relationship between the particle size of the feed after crushing and the preset feed particle size includes: Obtain a comparison result between the particle size of the feed after crushing and the preset particle size of the feed, wherein: If the particle size of the feed after being crushed is lower than or equal to the preset feed particle size, then the crushing of the feed to be crushed is not controlled; If the particle size of the feed after crushing is higher than the preset feed particle size, an adjustment coefficient is determined according to the particle size difference between the particle size of the feed after crushing and the preset feed particle size, and the crushing time of the feed to be crushed is adjusted according to the adjustment coefficient.

5. The chicken bone protein feed pulverization control method according to claim 4, characterized in that: When determining the adjustment coefficient according to the particle size difference between the particle size of the feed after crushing and the preset particle size of the feed, it includes: Determine the adjustment coefficient according to the relationship between the granularity difference and the configured first preset granularity difference and the second preset granularity difference; When the particle size difference is lower than the first preset particle size difference, the adjustment coefficient is determined to be M1; When the particle size difference is higher than or equal to the first preset particle size difference, and the particle size difference is lower than the second preset particle size difference, the adjustment coefficient is determined to be M2; When the particle size difference is greater than or equal to the second preset particle size difference, the adjustment coefficient is determined to be M3; The first preset granularity difference is smaller than the second preset granularity difference, and M1<M2<M3<1.

6. The chicken bone protein feed pulverization control method according to claim 5, characterized in that: When the adjustment coefficient is determined to be Mi, i=1, 2, 3, including: The preset mixing degree of the feed after grinding is obtained according to the feed grinding model, and whether to correct the adjustment coefficient Mi is determined according to the relationship between the mixing degree of each component of the feed after grinding and the preset mixing degree, wherein: If the mixing degree of the components after the feed is crushed is higher than or equal to the preset mixing degree, it is determined that the adjustment coefficient Mi is not corrected; If the mixing degree of the components after the feed is crushed is lower than the preset mixing degree, a correction coefficient is determined according to the relationship between the mixing degree of the components after the feed is crushed and the preset mixing degree, and the adjustment coefficient Mi is corrected according to the correction coefficient.

7. The method for controlling the pulverization of chicken bone protein feed according to claim 6, characterized in that: When determining the correction coefficient according to the relationship between the mixing degree of each component after the feed is crushed and the preset mixing degree, it includes: The mixing degree difference between the mixing degree of each component of the feed after crushing and the preset mixing degree is obtained, and the correction coefficient is determined according to the relationship between the mixing degree difference and the configured first preset mixing degree difference and the second preset mixing degree difference: When the mixing degree difference is lower than the first preset mixing degree difference, the correction coefficient is determined to be N1; When the mixing degree difference is higher than or equal to the first preset mixing degree difference, and the mixing degree difference is lower than the second preset mixing degree difference, determining the correction coefficient to be N2; When the mixing degree difference is higher than or equal to the second preset mixing degree difference, the correction coefficient is determined to be N3; The first preset mixing degree difference is smaller than the second preset mixing degree difference, and N1<N2<N3<1.

8. The method for controlling the pulverization of chicken bone protein feed according to claim 7, characterized in that: When the correction coefficient is determined to be Ni, i=1, 2, 3, including: Obtaining the moisture of the feed to be crushed when it is crushed, and judging whether to correct the correction coefficient Ni according to the relationship between the moisture of the feed and a preset moisture; When the feed humidity is lower than the preset humidity, it is determined that the correction coefficient Ni is not corrected; When the feed humidity is higher than or equal to the preset humidity, a correction coefficient is determined according to the relationship between the feed humidity and the preset humidity, and the correction coefficient Ni is corrected according to the correction coefficient.

9. The method for controlling the pulverization of chicken bone protein feed according to claim 8, characterized in that: According to the relationship between the feed humidity and the preset humidity, the correction coefficient is determined, including: Obtaining a humidity difference between the feed humidity and a preset humidity, and determining the correction coefficient according to a relationship between the humidity difference and a configured first preset humidity difference and a second preset humidity difference; When the humidity difference is lower than or equal to the first preset humidity difference, the correction coefficient is determined to be L1; When the humidity difference is higher than the first preset humidity difference and the humidity difference is lower than or equal to the second preset humidity difference, the correction coefficient is determined to be L2; When the humidity difference is higher than the second preset humidity difference, the correction coefficient is determined to be L3; The first preset humidity difference is smaller than the second preset humidity difference, and L1<L2<L3<1.

10. A chicken bone protein feed pulverizing control system, applicable to a chicken bone protein feed pulverizing control method as claimed in any one of claims 1 to 9, characterized in that: include: The data acquisition module is used to obtain the feed intake data of the animals at each stage of feeding and the protein component data of each particle size after the feed is crushed; A model generation module, electrically connected to the data acquisition module, and used for establishing a feed crushing model for the raised animals according to the relationship between the feed intake data of the raised animals at each stage and the protein component data of each particle size; an analysis module, electrically connected to the model generation module, the analysis module being used to obtain growth stage information of the animal to be raised, substitute the growth stage information of the animal to be raised into the feed crushing model of the animal to be raised, and obtain a preset feed particle size of the animal to be raised according to the feed crushing model of the animal to be raised; The control module is electrically connected to the analysis module and the crushing device respectively. The control module is used to obtain the particle size of the feed after crushing and the mixing degree of each component, and determine whether to control the crushing of the feed to be crushed according to the relationship between the particle size of the feed after crushing and the preset feed particle size.

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