Control system and method for intelligent nutritional agent preparation

Abstract

The invention relates to the technical field of animal breeding, and discloses a control system and method for intelligent nutrient preparation, the system comprises an acquisition unit, a processing unit and an adjusting unit, the acquisition unit is configured to acquire animal state data in a preset area, and the processing unit is configured to process the animal state data in the preset area; preliminarily determining a preliminary protein ratio of animal protein to plant protein in the nutritional agent according to an animal growth stage; according to the number of animals in the preset area, determining the initial total feeding amount; the processing unit is configured to determine the final total discharging amount and determine the initial water consumption according to the final total discharging amount; the processing unit is further configured to adjust the initial water consumption according to the environment temperature and determine the final water consumption; the adjustment unit is configured to determine a final protein ratio. By monitoring breeding data in real time and dynamically adjusting a feed formula according to animal health conditions and environmental changes, stable feed quality is ensured, nutritional requirements of animals are met, and healthy growth of the animals is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of animal breeding, and more particularly, to a control system and method for intelligent preparation of nutritional agents. Background Art

[0002] In modern agriculture and animal husbandry, in order to improve production efficiency and the nutritional value of feed, the preparation of animal and plant protein feed has become an important topic. However, traditional feed preparation methods usually rely on experience and fixed formulas, lack scientific basis, and are difficult to meet the needs of different animal species, growth stages, physiological states, and environmental changes. As a result, the feed quality is unstable and there are deviations in animal nutritional requirements. In addition, environmental factors such as temperature changes also affect the fermentation process of feed, but traditional methods often ignore these dynamic factors, further exacerbating the instability of feed quality. Therefore, it is particularly important to develop a control system that can monitor and adjust feed formulas in real time. Summary of the Invention

[0003] In view of this, the present invention proposes a control system and method for intelligent preparation of nutritional agents, aiming to solve the problem that traditional methods in current technology often ignore the needs of different animal species, growth stages, physiological states, and environmental changes, further exacerbating the instability of feed quality.

[0004] On the one hand, a control system for intelligent preparation of nutritional agents proposed by the present invention includes:

[0005] A collection unit, a processing unit, and an adjustment unit, wherein,

[0006] The collection unit is configured to collect animal state data within a preset area, where the animal state data includes the animal growth stage, growth rate, and physiological state, and preliminarily determine the preliminary protein ratio of animal protein to plant protein in the nutritional agent according to the animal growth stage; determine the preliminary total feeding amount according to the number of animals in the preset area;

[0007] The processing unit is configured to divide the growth rate into intervals, set a growth rate threshold, determine the growth rate factor of different animal individuals according to the growth rate, adjust the preliminary total feeding amount to determine the final total feeding amount, and determine the initial water consumption according to the final total feeding amount;

[0008] The processing unit is further configured to adjust the initial water consumption according to the environmental temperature to determine the final water consumption;

[0009] The adjustment unit is configured to set physiological adjustment factors for health, illness, and pregnancy according to different physiological states of the animals, and further correct the preliminary protein ratio according to the physiological adjustment factors to determine the final protein ratio.

[0010] Optionally, the animal growth stages include infancy, adulthood, and lactation period.

[0011] Optionally, the calculation formula for the growth rate factor is:

[0012]

[0013] where F i represents the growth rate factor of the animal, G i represents the growth rate, G min represents the minimum growth rate threshold, G max represents the maximum growth rate threshold.

[0014] Optionally, the calculation formula for the final total feeding amount is:

[0015] Q = Q 0 ×F i ;

[0016] where Q represents the final total feeding amount, and Q0 represents the preliminary total feeding amount.

[0017] Optionally, when determining the physiological adjustment factor according to the animal physiological state, the physiological adjustment factor is obtained by the following formula:

[0018]

[0019] where W g represents the number of animals with a healthy health state; R h represents the number of animals in the gestation period; S h represents the number of animals in the sick period; W t represents the total number of animals; α g represents the influence weight of healthy animals, reflecting the normal demand of healthy animals for animal protein; α h represents the influence weight of animals in the gestation period, reflecting the correction of the demand for animal protein by animals in the gestation period; α s represents the influence weight of animals in the sick period, reflecting the correction of the demand for animal protein by animals in the sick period; H f represents the physiological adjustment factor.

[0020] Optionally, the value of ɑ g is 1, the value of ɑ s is 1.3, and the value of ɑ h is 1.1.

[0021] Optionally, the proportion of animal protein in the final protein ratio is obtained by the following formula:

[0022] P a = P'a ×H f ;

[0023] wherein, P a represents the proportion of animal protein in the final protein formulation, and P' a represents the proportion of animal protein in the initial protein formulation;

[0024] The proportion of vegetable protein in the final protein formulation is calculated by the following formula:

[0025] P i = P' i × (2 - H f );

[0026] where P i represents the proportion of vegetable protein in the final protein formulation, and P' i represents the proportion of vegetable protein in the final protein formulation.

[0027] Optionally, before adjusting the initial water consumption according to the ambient temperature, it further includes:

[0028] Comparing the ambient temperature with the standard ambient temperature, and judging whether to adjust the initial water consumption according to the comparison result;

[0029] When the ambient temperature is lower than the standard ambient temperature, it is determined to adjust the initial water consumption;

[0030] When the ambient temperature is greater than or equal to the standard ambient temperature, it is determined not to adjust the initial water consumption and use the initial water consumption as the final water consumption.

[0031] Optionally, when adjusting the initial water consumption according to the ambient temperature to obtain the final water consumption, it includes:

[0032] Obtaining a temperature difference based on the ambient temperature and the standard ambient temperature, where the temperature difference is the absolute value of the difference between the ambient temperature and the standard ambient temperature, comparing the temperature difference with a preset first preset difference and a second preset difference respectively, the first preset difference being less than the second preset difference, and adjusting the initial water consumption according to the comparison result to obtain the final water consumption;

[0033] When the temperature difference is less than the first preset temperature difference, determine the first water volume adjustment coefficient to adjust the initial water volume to obtain the final water volume; when the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, determine the second water volume adjustment coefficient to adjust the initial water volume to obtain the final water volume; when the temperature difference is greater than the second preset temperature difference, determine the third water volume adjustment coefficient to adjust the initial water volume to obtain the final water volume; the first water volume adjustment coefficient is greater than the second water volume adjustment coefficient, and the second water volume adjustment coefficient is greater than the third water volume adjustment coefficient.

[0034] On the other hand, the present invention also proposes a method applied to the above control system for intelligent nutrient preparation, and the method includes:

[0035] Collect animal status data in a preset area, where the animal status data includes the animal growth stage, growth rate, and physiological status, and preliminarily determine the preliminary protein ratio of animal protein to plant protein in the nutrient according to the animal growth stage; determine the preliminary total feeding amount according to the number of animals in the preset area;

[0036] Divide the growth rate into intervals, set a growth rate threshold, determine the growth rate factors of different animal individuals according to the growth rate, adjust the preliminary total feeding amount to determine the final total feeding amount, and determine the initial water volume according to the final total feeding amount; adjust the initial water volume according to the environmental temperature to determine the final water volume;

[0037] According to different physiological states of the animals, set three physiological adjustment factors of healthy, sick, and pregnant, and further correct the preliminary protein ratio according to the physiological adjustment factors to determine the final protein ratio.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows: By monitoring breeding data in real time and dynamically adjusting the feed formula according to the animal health status and environmental changes, the present invention ensures the stable quality of the feed, meets the nutritional needs of animals, and promotes the healthy growth of animals. Secondly, it optimizes the feed ratio, improves the feed utilization rate, reduces the breeding cost, and improves the breeding efficiency. In addition, by precisely controlling the feed ratio, it reduces feed waste and reduces environmental pollution generated during the breeding process. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] By reading the detailed description of the preferred embodiments below, 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:

[0040] Figure 1Schematic diagram of a control system for intelligent nutrient preparation provided by an embodiment of the present invention;

[0041] Figure 2 Flowchart of a control method for intelligent nutrient preparation provided by an embodiment of the present invention. Detailed implementation manners

[0042] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying 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 completely 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 conjunction with the embodiments.

[0043] As Figure 1 shown, it is a schematic diagram of a control system for intelligent nutrient preparation provided by an embodiment of the present invention; it can be seen that this system includes a collection unit, a processing unit, and an adjustment unit, wherein,

[0044] The collection unit is configured to collect animal state data within a preset area, where the animal state data includes the animal growth stage, growth rate, and physiological state, and preliminarily determine the preliminary protein ratio of animal protein to plant protein in the nutrient according to the animal growth stage; determine the preliminary total feeding amount according to the number of animals in the preset area;

[0045] The processing unit is configured to divide the growth rate into intervals, set a growth rate threshold, determine the growth rate factor of different animal individuals according to the growth rate, adjust the preliminary total feeding amount to determine the final total feeding amount, and determine the initial water consumption according to the final total feeding amount;

[0046] The processing unit is further configured to adjust the initial water consumption according to the environmental temperature to determine the final water consumption;

[0047] The adjustment unit is configured to set three physiological adjustment factors of healthy, sick, and pregnant according to different physiological states of the animals, and further correct the preliminary protein ratio according to the physiological adjustment factors to determine the final protein ratio.

[0048] It can be understood that in this way, precise control of the preparation of animal nutrient agents is achieved. First, the growth stage, growth rate, and physiological state data of the animals are obtained through the acquisition unit to preliminarily determine the protein ratio and the total feeding amount. The processing unit further optimizes the total feeding amount and water consumption by analyzing the growth rate and adjustment factors to ensure the accuracy of the ratio. Finally, the adjustment unit makes a final correction to the protein ratio according to the physiological state of the animals by setting different adjustment factors, so as to ensure that the nutrient agents can not only meet the growth needs of the animals but also adapt to their health conditions, realizing the intelligentization and personalization of the preparation of nutrient agents.

[0049] Specifically, by collecting data such as the growth stage, growth rate, and physiological state of animals, automatic adjustment of the nutrient agent formula is achieved. This enables dynamic adjustment of the ratio and feeding amount of the nutrient agent according to the real-time state of the animals, reducing human intervention and improving efficiency and accuracy. The protein ratio is adjusted separately according to the growth rate and physiological state of the animals (such as healthy, sick, pregnant), ensuring that each animal individual can obtain a nutrient agent formula suitable for its specific growth stage and physiological state, and providing a more precise nutrition management plan. The processing unit can dynamically adjust the preliminary total feeding amount and protein ratio according to the growth rate, and can also adjust the water consumption according to the environmental temperature. This flexible adjustment mechanism can adapt to different environmental changes and animal state changes, ensuring the real-time and accuracy of the preparation of nutrient agents. By accurately calculating the total feeding amount and water consumption, waste of nutrient agents is avoided, resources are utilized to the maximum extent, and at the same time, the negative impacts that may be brought by overfeeding or nutritional imbalance are reduced, promoting animal health while optimizing production costs. In addition, the special needs of the physiological state (such as being sick and pregnant) need to be considered, and by adjusting the physiological state factor, the ratio of animal protein to plant protein is compensated to ensure that animals in different physiological states can obtain a nutrient formula that meets their special needs, enhancing flexibility and practicality. Finally, through the refined management of the growth rate and the number of animals, scientific decisions can be made based on the real-time monitored data to ensure that the preparation process of the nutrient agent is more precise, thereby improving the overall feeding management level.

[0050] In this preferred embodiment, the animal growth stages include infancy, adulthood, and lactation.

[0051] In this preferred embodiment, the calculation formula for the growth rate factor is:

[0052]

[0053] where F i represents the growth rate factor of the animal, G i represents the growth rate, G min represents the minimum growth rate threshold, and G max represents the maximum growth rate threshold.

[0054] This is because a higher proportion of animal protein is required during the rapid growth period, while the proportion of plant protein can be increased during the slowdown of growth. The rapid growth period means that the growth rate factor exceeds the growth rate threshold, while the slowdown of growth means that the growth rate factor is lower than the growth rate threshold.

[0055] In another preferred embodiment, it can also be divided into a low-speed growth range, a medium-speed growth range, and a high-speed growth range; low-speed growth range: growth rate ≤ 20 g / day; medium-speed growth range: 20 < growth rate ≤ 35 g / day; high-speed growth range: growth rate > 35 g / day;

[0056] In this preferred embodiment, the calculation formula for the final total feeding amount is:

[0057] Q = Q 0 × F i ;

[0058] where Q represents the final total feeding amount, and Q0 represents the preliminary total feeding amount.

[0059] In this preferred embodiment, when determining the physiological adjustment factor according to the physiological state of the animal, the physiological adjustment factor is obtained by the following formula:

[0060]

[0061] where W g represents the number of animals with a healthy health state; R h represents the number of animals in the gestation period with a healthy state; S h represents the number of animals in the sick period with a healthy state; W t represents the total number of animals; α g represents the influence weight of healthy animals, reflecting the normal demand for animal protein by healthy animals; α h represents the influence weight of animals in the gestation period, reflecting the correction of the demand for animal protein by animals in the gestation period; α s represents the influence weight of animals in the sick period, reflecting the correction of the demand for animal protein by animals in the sick period; H f represents the physiological adjustment factor.

[0062] It can be understood that by clarifying the number of animals in different health states, setting reasonable weight values according to different health states, and then calculating the health impact factor through weighted sum and total quantity. Thus, according to the result of the health impact factor, the protein content in the feed is dynamically adjusted to optimize animal health and production efficiency.

[0063] In this preferred embodiment, the value of ɑ g is 1, the value of ɑ s is 1.3, and the value of ɑ hThe value is 1.1.

[0064] It can be understood that the weight ɑ of healthy animals g with a value of 1 indicates that the protein requirement of animals in a healthy state is the standard and default requirement. This shows that the metabolic and digestive absorption functions of healthy animals are normal, so their protein requirements are neither too high nor too low, that is, maintained at a normal level. The weight ɑ of animals during the illness period s with a value of 1.3 indicates that the protein requirement of animals in a sick state is 30% higher than that of animals in a normal healthy state. Animals during the illness period need more protein to support the function of the immune system to resist diseases and promote recovery. Therefore, their protein requirements increase. The weight ɑ of pregnant animals h with a value of 1.1 indicates that the protein requirement of pregnant animals is 10% higher than that of animals in a normal healthy state. This is because pregnant animals need extra nutrition to support the development of the fetus or cubs and milk production. This additional nutritional requirement includes more protein to repair body tissues and enhance physical fitness.

[0065] It can be understood that animals in different growth stages have different protein requirements. Young animals need higher animal protein to support rapid growth and tissue development, while adult animals may need more plant protein to maintain weight and health; sick or pregnant animals usually need higher animal protein to enhance the immune system, while animals in good health may need a more balanced protein ratio. Environmental temperature affects the metabolism of animals. In a lower temperature environment, the metabolic rate of animals increases, and more animal protein is needed to provide heat and maintain body temperature. In a higher temperature environment, animals may need to reduce the intake of animal protein to reduce the generation of metabolic heat in the body. Moreover, pregnant or lactating animals usually need higher animal protein to support the development of the fetus or cubs and milk production, while non-breeding animals may need to reduce the proportion of animal protein.

[0066] In this preferred embodiment, the proportion of animal protein in the final protein ratio is calculated by the following formula:

[0067] P a = P' a × H f ;

[0068] where P a represents the proportion of animal protein in the final protein ratio, and P' a represents the proportion of animal protein in the initial protein ratio;

[0069] The proportion of plant protein in the final protein ratio is calculated by the following formula:

[0070] P i = P'i ×(2 - H f );

[0071] where P i represents the proportion of plant protein in the final protein ratio, and P' i represents the proportion of plant protein in the final protein ratio.

[0072] It can be understood that the proportions of animal protein and plant protein in the final protein ratio are determined by specific calculation formulas. The proportion of animal protein is determined by the difference between the initial and final protein ratios, and the proportion of plant protein is also obtained by a similar calculation method. This makes the adjustment of the protein ratio more accurate and scientific, ensuring a reasonable distribution of protein sources in the feed, thus better meeting the nutritional needs of animals and improving the overall nutritional value of the feed. It also dynamically adjusts the feed formula by real-time monitoring of breeding data and according to the animal's health status and environmental changes, ensuring stable feed quality, meeting the nutritional needs of animals, and promoting the healthy growth of animals. Secondly, optimizing the feed ratio can improve feed utilization rate, reduce breeding costs, and increase breeding efficiency. In addition, by precisely controlling the feed ratio, feed waste can be reduced, and environmental pollution generated during the breeding process can be decreased.

[0073] In this preferred embodiment, before adjusting the initial water consumption according to the environmental temperature, it further includes:

[0074] Comparing the environmental temperature with the standard environmental temperature, and determining whether to adjust the initial water consumption according to the comparison result;

[0075] When the environmental temperature is lower than the standard environmental temperature, it is determined to adjust the initial water consumption;

[0076] When the environmental temperature is greater than or equal to the standard environmental temperature, it is determined not to adjust the initial water consumption and take the initial water consumption as the final water consumption.

[0077] It can be seen that by comparing the environmental temperature with the standard temperature and deciding whether to adjust the water consumption according to the comparison result, it can ensure that the fermentation process is always in the best state and avoid the influence of temperature changes on the fermentation effect. This method embodies the core idea of intelligent feed preparation: flexibly adjusting according to the actual situation to ensure stable feed quality and meet the nutritional needs of animals.

[0078] In this preferred embodiment, when adjusting the initial water consumption according to the environmental temperature to obtain the final water consumption, it includes:

[0079] Obtain the temperature difference based on the ambient temperature and the standard ambient temperature. The temperature difference is the absolute value of the difference between the ambient temperature and the standard ambient temperature. Compare the temperature difference with a preset first preset difference and a second preset difference respectively. The first preset difference is less than the second preset difference. Adjust the initial water consumption according to the comparison result to obtain the final water consumption.

[0080] When the temperature difference is less than the first preset temperature difference, determine the first water volume adjustment coefficient to adjust the initial water consumption to obtain the final water consumption; when the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, determine the second water volume adjustment coefficient to adjust the initial water consumption to obtain the final water consumption; when the temperature difference is greater than the second preset temperature difference, determine the third water volume adjustment coefficient to adjust the initial water consumption to obtain the final water consumption; the first water volume adjustment coefficient is greater than the second water volume adjustment coefficient, and the second water volume adjustment coefficient is greater than the third water volume adjustment coefficient.

[0081] It can be understood that this method of dynamically adjusting water consumption based on ambient temperature embodies the core idea of intelligent feed preparation: flexibly adjusting according to the actual situation to ensure stable feed quality. By real-time monitoring of the ambient temperature and combining with the preset adjustment coefficients, this method can effectively control the feed fermentation process, avoid the influence of temperature changes on the fermentation effect, thereby improving the feed quality and meeting the nutritional needs of animals. In addition, this method also has a certain generality and can be applied to different feed preparation scenarios and adjusted according to the actual situation to adapt to different environments and animal needs.

[0082] In summary, the present invention provides a control system and method for intelligent nutrient preparation. By real-time monitoring of breeding data and dynamically adjusting the feed formula according to the animal health status and environmental changes, it ensures stable feed quality, meets the nutritional needs of animals, and promotes the healthy growth of animals. Secondly, it optimizes the feed ratio, improves the feed utilization rate, reduces the breeding cost, and improves the breeding efficiency. In addition, by precisely controlling the feed ratio, it reduces feed waste and the environmental pollution generated during the breeding process. Finally, the present invention applies intelligent technology to the field of feed preparation, promotes the development of the breeding industry towards intelligence and automation, and improves the scientific and technological level of the breeding industry.

[0083] As Figure 2 shown, the embodiment of the present invention provides a control method for intelligent nutrient preparation, including:

[0084] Collect animal status data in a preset area, where the animal status data includes the animal growth stage, growth rate, and physiological status, and preliminarily determine the preliminary protein ratio of animal protein to plant protein in the nutrient according to the animal growth stage; determine the preliminary total feeding amount according to the number of animals in the preset area;

[0085] Divide the growth rate into intervals, set the growth rate threshold, determine the growth rate factors of different animal individuals according to the growth rate, adjust the preliminary total feeding amount, determine the final total feeding amount, and determine the initial water consumption according to the final total feeding amount; adjust the initial water consumption according to the environmental temperature to determine the final water consumption;

[0086] According to different physiological states of animals, set three physiological adjustment factors: healthy, sick, and pregnant, and further correct the preliminary protein ratio according to the physiological adjustment factors to determine the final protein ratio.

[0087] It can be understood that first, collect the state data of animals in the preset area, including the growth stage, growth rate, and physiological state, so as to initially determine the ratio of animal protein to plant protein in the nutrient according to these data, and determine the preliminary total feeding amount based on the number of animals. Then divide the growth rate of animals into intervals and set the threshold. According to the growth rate of each animal, determine its growth rate factor, and then adjust the preliminary total feeding amount to determine the final total feeding amount, and determine the initial water consumption accordingly. Moreover, the influence of environmental temperature on the fermentation process will also be considered, and the initial water consumption will be adjusted according to the environmental temperature to determine the final water consumption to ensure suitable fermentation conditions. Finally, according to the health status of animals (healthy, sick, pregnant), set different physiological adjustment factors to further correct the preliminary protein ratio to determine the final protein ratio.

[0088] In summary, the present invention provides a control system and method for intelligent nutrient preparation. By real-time monitoring of breeding data and dynamically adjusting the feed formula according to the animal health status and environmental changes, it ensures the stable feed quality, meets the nutritional needs of animals, and promotes the healthy growth of animals. Secondly, it optimizes the feed ratio, improves the feed utilization rate, reduces the breeding cost, and improves the breeding efficiency. In addition, by precisely controlling the feed ratio, it reduces feed waste and the environmental pollution generated during the breeding process. Finally, the present invention applies intelligent technology to the field of feed preparation, promotes the development of the breeding industry towards intelligence and automation, and improves the scientific and technological level of the breeding industry.

[0089] 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 can modify the specific implementation manners of the present invention or make equivalent replacements, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A control system for intelligent nutrient preparation, characterized in that: include: A collection unit, a processing unit and an adjustment unit, wherein: The collecting unit is configured to collect animal status data in a preset area, wherein the animal status data includes the growth stage, growth rate and physiological state of the animal, and preliminarily determine the preliminary protein ratio of animal protein to plant protein in the nutrient according to the growth stage of the animal; and determine the preliminary total amount of feed according to the number of animals in the preset area; The processing unit is configured to divide the growth rate into intervals, set a growth rate threshold, determine the growth rate factor of different animal individuals according to the growth rate, adjust the initial total amount of feed, determine the final total amount of feed, and determine the initial water consumption according to the final total amount of feed; The processing unit is further configured to adjust the initial water consumption according to the ambient temperature to determine the final water consumption; The adjustment unit is configured to set physiological adjustment factors of health, illness and pregnancy according to different physiological states of the animal, and further revise the preliminary protein ratio according to the physiological adjustment factors to determine the final protein ratio.

2. A control system for intelligent nutrient preparation according to claim 1, characterized in that: The animal growth stages include infancy, adulthood and lactation.

3. A control system for intelligent nutrient preparation according to claim 2, characterized in that: The calculation formula of the growth rate factor is: Among them, F i Indicates the growth rate factor of the animal, G i Represents the growth rate, G min Represents the minimum growth rate threshold, G max Indicates the maximum growth rate threshold.

4. A control system for intelligent nutrient preparation according to claim 3, characterized in that: The calculation formula for the final total amount of material is: Q=Q0×F i ; Among them, Q represents the final total amount of material discharged, and Q0 represents the initial total amount of material discharged.

5. A control system for intelligent nutrient preparation according to claim 4, characterized in that: When the physiological adjustment factor is determined according to the physiological state of the animal, the physiological adjustment factor is calculated by the following formula: Among them, W g Indicates the number of animals with a healthy health status; R h Indicates the number of animals in the gestational stage of health; S h Indicates the number of animals whose health status is in the sick stage; W t represents the total number of animals; α g Indicates the impact weight of healthy animals, reflecting the normal demand of healthy animals for animal protein; α h represents the impact weight of pregnant animals, reflecting the correction of the animal protein demand of pregnant animals; α s It represents the impact weight of sick animals, reflecting the correction of the demand for animal protein by sick animals; H f represents the physiological adjustment factor.

6. A control system for intelligent nutrient preparation according to claim 5, characterized in that: ɑ g The value of is 1, s The value of is 1.3, h The value of is 1.

1.

7. A control system for intelligent nutrient preparation according to claim 6, characterized in that: The animal protein ratio in the final protein ratio is calculated by the following formula: P a =P′ a ×H f ; Among them, P a Indicates the proportion of animal protein in the final protein mix, P' a Indicates the proportion of animal protein in the initial protein mix; The proportion of plant protein in the final protein ratio is calculated by the following formula: P i =P′ i ×(2-H f ); Among them, P i Indicates the proportion of plant protein in the final protein mix, P' i Indicates the proportion of plant protein in the final protein mix.

8. A control system for intelligent nutrient preparation according to claim 7, characterized in that: Before adjusting the initial water consumption according to the ambient temperature, the method further includes: Comparing the ambient temperature with the standard ambient temperature, and determining whether to adjust the initial water consumption according to the comparison result; When the ambient temperature is lower than the standard ambient temperature, determining to adjust the initial water consumption; When the ambient temperature is greater than or equal to the standard ambient temperature, it is determined that the initial water consumption is not adjusted and the initial water consumption is used as the final water consumption.

9. A control system for intelligent nutrient preparation according to claim 8, characterized in that: The initial water consumption is adjusted according to the ambient temperature to obtain the final water consumption, including: A temperature difference is obtained according to the ambient temperature and the standard ambient temperature, the temperature difference is the absolute value of the difference between the ambient temperature and the standard ambient temperature, the temperature difference is compared with a first preset difference and a second preset difference respectively, the first preset difference is smaller than the second preset difference, and the initial water consumption is adjusted according to the comparison result to obtain the final water consumption; When the temperature difference is less than the first preset temperature difference, the first water adjustment coefficient is determined to adjust the initial water consumption to obtain the final water consumption; when the temperature difference is greater than the first preset temperature difference and less than or equal to the second preset temperature difference, the second water adjustment coefficient is determined to adjust the initial water consumption to obtain the final water consumption; when the temperature difference is greater than the second preset temperature difference, the third water adjustment coefficient is determined to adjust the initial water consumption to obtain the final water consumption; the first water adjustment coefficient is greater than the second water adjustment coefficient, and the second water adjustment coefficient is greater than the third water adjustment coefficient.

10. A control method for intelligent nutrient preparation, applied to the control system for intelligent nutrient preparation according to any one of claims 1 to 9, characterized in that: The method comprises: Collecting animal status data in a preset area, wherein the animal status data includes the growth stage, growth rate and physiological state of the animal, and preliminarily determining the preliminary protein ratio of animal protein to plant protein in the nutrient according to the growth stage of the animal; determining the preliminary total amount of feed according to the number of animals in the preset area; Divide the growth rate into intervals, set the growth rate threshold, determine the growth rate factor of different animal individuals according to the growth rate, adjust the initial total amount of feed, determine the final total amount of feed, and determine the initial water consumption according to the final total amount of feed; adjust the initial water consumption according to the ambient temperature to determine the final water consumption; According to the different physiological states of animals, three physiological adjustment factors of health, illness and pregnancy are set, and the preliminary protein ratio is further revised according to the physiological adjustment factors to determine the final protein ratio.

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