Efficient tea residue TMR mixing and blending and beef cattle precise feeding system
By using an efficient tea residue TMR mixing and blending system and a precision feeding system for beef cattle, the TMR ration ratio and precise feeding are optimized, solving the problems of insufficient utilization of tea residue resources and environmental pollution in the traditional model, and achieving the lowest cost of beef cattle weight gain and improved economic benefits.
Patent Information
- Application Number
- CN202511720304.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-21
- Publication Date
- 2026-01-02
AI Technical Summary
Traditional TMR (Total Mixed Ration) feeding models lack scientific data optimization and feedback mechanisms, and underutilize unconventional feed resources such as tea residue, resulting in unreasonable nutrient composition, resource waste, and environmental pollution.
The design of an efficient tea residue TMR mixing and blending system for precise feeding of beef cattle includes raw material processing, experimental division, data acquisition and monitoring, analysis unit and real-time feeding control. The system optimizes the TMR ration ratio through data-driven approach and achieves precise feeding.
This approach minimizes the cost of beef cattle weight gain, utilizes tea residue as a resource, reduces feed costs, improves economic efficiency, and solves the environmental pollution problem caused by tea residue accumulation.
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Figure CN121241930A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of intelligent animal husbandry and feed resource utilization, more particularly to an efficient tea residue TMR mixing and deployment system for beef cattle precise feeding. BACKGROUND
[0002] With the development of animal husbandry, reducing feed costs, improving breeding efficiency and achieving sustainable development have become the core demands of the industry. On the one hand, a large amount of tea residue waste is generated in the tea processing and tea beverage industry, and its treatment is an environmental problem. On the other hand, tea residue is rich in crude fiber, crude protein, tea polyphenols and other active substances, and has the potential to be developed as unconventional feed. However, in practical application, the traditional TMR feeding mode still has the following problems: First, TMR rationing relies on experience and lacks scientific data optimization and feedback mechanism: Currently, most of the daily ration of farms or farmers mainly depends on the experience of nutritionists and general nutritional standards, without fully considering real-time variables such as specific cattle structure, growth stage, local raw material characteristics and price fluctuations. This static and universal formula mode cannot achieve the optimal ratio of cost and benefit, which may lead to waste due to excess of some nutrients, or limit growth performance due to lack of some nutrients, and cannot maximize the economic benefit of breeding; Second, the development and utilization of unconventional feed resources such as tea residue is insufficient: A large amount of tea residue waste is generated in the process of tea deep processing (such as tea beverage production). Tea residue contains rich crude fiber, tea polyphenols, amino acids and other ingredients, and has the potential to be used as feed for ruminants. However, the current disposal method of tea residue is mainly stacking and landfill, which not only wastes resources but also poses environmental pollution risk. Although some studies have attempted to use tea residue for animal feed, they have mostly remained at the level of simple addition and effect observation, lacking a systematic method that can accurately determine the most economical and effective addition ratio and apply it to TMR production on a large scale and standardized basis; Therefore, there is an urgent need for an efficient tea residue TMR mixing and deployment system for beef cattle precise feeding to solve the above technical problems. SUMMARY
[0003] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide an efficient tea residue TMR mixing and deployment system for beef cattle precise feeding to solve the technical problems raised in the background art.
[0004] To achieve the above-mentioned purpose, the present application provides the following technical solution: an efficient tea residue TMR mixing and deployment system for beef cattle precise feeding, comprising a beef cattle precise feeding system, the beef cattle precise feeding system comprising a TMR mixing and deployment subsystem and a feeding subsystem; The mixed preparation subsystem comprises a raw material processing unit, an experiment division module, a data acquisition and monitoring unit, and an analysis unit. The feeding subsystem comprises an adjustment module and a real-time feeding control unit. The TMR mixed preparation subsystem is configured to generate a suitable TMR daily ration according to the beef cattle growth parameter analysis, and the feeding subsystem is configured to feed the TMR daily ration to target beef cattle in a set amount.
[0005] Further, the raw material processing unit comprises a raw material storage device, a TMR raw material mixing device, and a control module. The control module is used to receive the most suitable TMR daily ration or the experimental TMR daily ration generated by the mixed preparation subsystem, and to control the raw materials in the raw material storage device to be sequentially fed into the TMR raw material mixing device according to the ration, so as to mix and produce the TMR raw material daily ration of the corresponding ration.
[0006] Further, the raw material storage device is internally integrated with an environmental adjustment module for real-time monitoring and adjustment of the temperature, humidity, and gas concentration inside the device to maintain a suitable storage environment and prevent the raw materials from being mildewed during storage.
[0007] Further, the experiment division module is used to divide the breeding area into a plurality of independent experimental units, and each experimental unit is used to breed n heads of beef cattle of a specific group; wherein the experiment division module is configured to allocate and implement different TMR daily rations for different experimental units, and the TMR daily rations are different experimental rations set for comparison experiments. The feeding subsystem is used to accurately feed according to the specific TMR daily ration allocated for each experimental unit.
[0008] Further, the data acquisition and monitoring unit comprises: A body weight monitoring device is arranged in each experimental unit, which is used to acquire the initial body weight data set (Q1, Q2, Q3, …, Qn) and the ending weight data set (W1, W2, W3, …, Wn) of the beef cattle in each experimental unit within a feeding period A, and transmit them to the analysis unit. An individual identification device is arranged in each experimental unit, which is used to identify the identity of each experimental beef cattle. A breeding feed weight acquisition unit is arranged in each experimental unit, which is used to acquire the total weight data L of the TMR feed consumed in each experimental unit within the feeding period A. The data acquisition unit transmits the initial body weight data set (Q1, Q2, Q3, …, Qn), the ending weight data set (W1, W2, W3, …, Wn), and the total weight data L of the TMR feed consumed in each experimental unit to the analysis unit.
[0009] Further, the feeding period A ranges from 45 to 60 days, the analysis unit receives the initial weight data set (Q1, Q2, Q3, …, Qn) and the final weight data set (W1, W2, W3, …, Wn) in each experimental unit, and calculates the average daily gain data Mean of each experimental unit, wherein the calculation formula is: ; The analysis unit receives the total weight data L of the consumed TMR feed, and calculates the total dry matter intake DMI in each experimental unit, wherein the calculation formula is: ; Wherein Pre is the dry matter content inside the TMR feed; The analysis unit calculates the weight gain cost COG produced by each experimental unit; wherein the calculation formula is: ; Wherein Ue is the cost price of each 1 kg of TMR feed.
[0010] Further, the analysis unit receives each group of COG produced by each experimental unit, performs mutual comparison operation, and determines the experimental unit with the minimum COG, the analysis unit receives the TMR ration of the experimental unit, and determines the TMR ration as the most suitable feeding scheme, and the analysis unit transmits the most suitable feeding scheme to the feeding subsystem.
[0011] Further, the real-time feeding unit is used to control the TMR ration feeding corresponding to each experimental unit; The adjustment module receives the most suitable feeding scheme, and adjusts the TMR ration of each experimental unit to be the same as the most suitable feeding scheme.
[0012] Further, the beef cattle precision feeding system operates according to the following workflow: S1, the experimental division module divides the beef cattle into multiple experimental units, and allocates different TMR ration experimental ratios to each unit; the feeding subsystem feeds each experimental unit for a period of A days according to the TMR ration experimental ratios; S2, in step S1, the data acquisition and monitoring unit acquires the initial weight, final weight and total TMR feed consumption data of the beef cattle in each experimental unit; S3, the analysis unit calculates the weight gain cost COG of the beef cattle in each experimental unit according to the data acquired in step S2, and determines the TMR ration corresponding to the experimental unit with the minimum COG value as the most suitable feeding scheme through comparative analysis; S4, the analysis unit sends the most suitable feeding scheme to the feeding subsystem, and a regulation module of the feeding subsystem then uniformly regulates the whole group feeding proportion to the scheme, and the whole group precise feeding is executed by a real-time feeding control unit.
[0013] Technical effects and advantages of the present application: The present application calculates the weight gain cost COG based on the initial weight data set (Q1, Q2, Q3, …, Qn), the end weight data set (W1, W2, W3, …, Wn), and the total weight of TMR feed consumed L through the analysis unit, and automatically selects the most suitable TMR daily ration with the lowest cost through comparative analysis; this completely changes the traditional mode of relying on experience formula, realizes data-driven precise decision-making, and thus effectively reduces the weight gain cost of beef cattle to the minimum, directly improves the economic benefit, and achieves the technical effect; The present application uses the system to precisely mix and apply tea residue as an important TMR daily ration raw material, and through real-time monitoring and feedback of the beef cattle precise feeding system, the optimal addition ratio of tea residue in beef cattle daily ration is automatically found; this not only solves the environmental pollution problem caused by tea residue accumulation, realizes high-value resource utilization of agricultural waste, but also can replace part of traditional feed raw materials in equal amount due to its low cost, thereby achieving the technical effect of reducing the overall cost of feed. BRIEF DESCRIPTION OF DRAWINGS
[0014] Figure 1 It is a whole process schematic diagram of the beef cattle precise feeding system of the present application.
[0015] Figure 2 It is a working process schematic diagram of the beef cattle precise feeding system of the present application. DETAILED DESCRIPTION
[0016] The technical solutions in the present application will be described clearly and completely in combination with the drawings in the present application, and the forms of each structure described in the following embodiments are only examples, and the efficient tea residue TMR mixing and beef cattle precise feeding system of the present application is not limited to each structure described in the following embodiments, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of the present application.
[0017] Referring to Figures 1 to 2 The present application provides an efficient tea residue TMR mixing and beef cattle precise feeding system, which comprises a beef cattle precise feeding system; the beef cattle precise feeding system comprises a TMR mixing and deployment subsystem and a feeding subsystem; The mixing and deployment subsystem comprises a raw material processing unit, an experiment division module, a data acquisition and monitoring unit, and an analysis unit; The feeding subsystem comprises an adjusting module and a real-time feeding control unit. The TMR mixing and blending subsystem is configured to generate a suitable TMR daily ration according to the beef cattle growth parameter analysis, and the feeding subsystem is configured to feed the TMR daily ration to the target beef cattle in a set amount.
[0018] In the embodiment, the content of tea residue in the TMR daily ration accounts for 12% to 20%.
[0019] Referring to Figure 1 As shown in the figure, the present application provides an efficient tea residue TMR mixing and blending and beef cattle precise feeding system, and the raw material processing unit comprises a raw material storage device, a TMR raw material mixing device, and a control module. The control module is used to receive the most suitable TMR daily ration blending or experimental TMR daily ration blending generated by the mixing and blending subsystem, and to control the raw materials in the raw material storage device to be sequentially fed into the TMR raw material mixing device according to the blending to mix and produce the TMR raw material daily ration with the corresponding blending. The environmental adjusting module is integrated inside the raw material storage device, which is used to monitor and adjust the temperature, humidity, and gas concentration inside the device in real time to maintain a suitable storage environment and prevent the raw materials from being mildewed during storage.
[0020] Referring to Figure 1 As shown in the figure, the present application provides an efficient tea residue TMR mixing and blending and beef cattle precise feeding system, and the experimental division module is used to divide the breeding area into a plurality of independent experimental units, and n heads of beef cattle of a specific group are bred in each experimental unit. The feeding subsystem performs precise feeding according to the specific TMR daily ration blending allocated to each experimental unit. The data acquisition and monitoring unit comprises: A body weight monitoring device is arranged in each experimental unit, which is used to acquire the initial body weight data set (Q1, Q2, Q3, …, Qn) and the final weight data set (W1, W2, W3, …, Wn) of the beef cattle in each experimental unit within the feeding period A, and transmit them to the analysis unit. An individual identification device is arranged in each experimental unit, which is used to identify the identity of each experimental beef cattle. A breeding feed weight acquisition unit is arranged in each experimental unit, which is used to acquire the total weight data L of the TMR feed consumed in each experimental unit within the feeding period A. The data acquisition unit transmits the initial weight data set (Q1, Q2, Q3, ..., Qn), the final weight data set (W1, W2, W3, ..., Wn), and the total weight data L of the TMR feed consumed in each experimental unit to the analysis unit. The feeding period A ranges from 45 to 60 days. The analysis unit receives the initial weight data set (Q1, Q2, Q3, ..., Qn) and the final weight data set (W1, W2, W3, ..., Wn) from each experimental unit, and calculates the average daily weight gain (Mean) of the beef cattle in each experimental unit. The calculation formula is as follows: ; The analysis unit receives the total weight data L of the consumed TMR feed and calculates the Total Dry Matter Intake (DMI) for each experimental unit, using the following formula: ; Where Pre represents the dry matter content inside the TMR feed; The analysis unit calculates the weight gain cost (COG) for each experimental unit; the calculation formula is as follows: ; Where Ue is the cost price of 1 kg of TMR feed; The analysis unit receives the COG generated by each experimental unit, performs a comparison operation, and determines the experimental unit with the smallest COG. The analysis unit receives the TMR diet ratio of the experimental unit and determines that the TMR diet ratio is the most suitable feeding program. The analysis unit transmits the most suitable feeding program to the feeding subsystem. The real-time feeding unit is used to control the TMR diet delivery within each experimental unit. After receiving the optimal feeding plan, the adjustment module adjusts the TMR diet ratio in each experimental unit to be the same as the optimal feeding plan.
[0021] Reference Figure 2 As shown, this invention provides a high-efficiency tea residue TMR mixing and blending system and a precision feeding system for beef cattle. The precision feeding system for beef cattle operates according to the following workflow: S1. The experimental division module divides beef cattle into multiple experimental units and assigns different TMR diet experimental ratios to each unit; the feeding subsystem then performs precise feeding of each experimental unit for a period of A days accordingly. S2. In step S1, the data acquisition and monitoring unit collects the initial weight, final weight, and total TMR feed consumption data of beef cattle in each experimental unit. S3. The analysis unit calculates the cost of weight gain (COG) of beef cattle in each experimental unit based on the data collected in step S2, and determines the TMR diet ratio corresponding to the experimental unit with the smallest COG value as the most suitable feeding scheme through comparative analysis. S4. The analysis unit sends the optimal feeding plan to the feeding subsystem. The adjustment module of the feeding subsystem then adjusts the feeding ratio of the whole group to the plan, and the real-time feeding control unit executes precise feeding of the whole group.
[0022] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0023] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0024] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0025] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
[0026] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0027] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A high-efficiency tea residue TMR mixing and blending system and a precision feeding system for beef cattle, including a precision feeding system for beef cattle, characterized in that: The precision feeding system for beef cattle includes a TMR mixing and blending subsystem and a feeding subsystem. The mixing and blending subsystem includes a raw material processing unit, an experimental division module, a data acquisition and monitoring unit, and an analysis unit. The feeding subsystem includes an adjustment module and a real-time feeding control unit; The TMR blending subsystem is configured to generate a suitable TMR diet based on the analysis of beef cattle growth parameters, and the feeding subsystem is configured to feed the TMR diet to the target beef cattle at a set amount.
2. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 1, characterized in that: The raw material processing unit includes a raw material storage device, a TMR raw material mixing device, and a control module. The control module is used to receive the optimal TMR diet ratio or experimental TMR diet ratio generated by the mixing and blending subsystem, and control the raw materials in the raw material storage device to be put into the TMR raw material mixing device in sequence according to the ratio, so as to mix and prepare the TMR raw material diet with the corresponding ratio.
3. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 2, characterized in that: The raw material storage device integrates an environmental control module, which monitors and adjusts the temperature, humidity, and gas concentration inside the device in real time to maintain a suitable storage environment and prevent the raw materials from becoming moldy during storage.
4. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 1, characterized in that: The experimental division module is used to divide the breeding area into multiple independent experimental units, each of which raises n beef cattle of a specific group; wherein, the experimental division module is configured to allocate and implement different TMR diet ratios for different experimental units, and the TMR diet ratios are different experimental ratios set for the purpose of comparative experiments; The feeding subsystem provides precise feeding based on the specific TMR diet ratio allocated to each experimental unit.
5. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 4, characterized in that: The data acquisition and monitoring unit includes: Weight monitoring equipment: set up in each experimental unit to collect the initial weight data set (Q1, Q2, Q3, ..., Qn) and the final weight data set (W1, W2, W3, ..., Wn) of beef cattle in each experimental unit during the feeding period A, and transmit them to the analysis unit; Individual identification devices: installed in each experimental unit to identify each experimental beef cattle; Feed weight collection unit: Set up in each experimental unit to collect the total weight L of TMR feed consumed in each experimental unit during the feeding period A; The data acquisition unit transmits the initial weight data set (Q1, Q2, Q3, ..., Qn), the final weight data set (W1, W2, W3, ..., Wn), and the total weight data L of the TMR feed consumed in each experimental unit to the analysis unit.
6. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 5, characterized in that: The feeding period A ranges from 45 to 60 days. The analysis unit receives the initial weight data set (Q1, Q2, Q3, ..., Qn) and the final weight data set (W1, W2, W3, ..., Wn) from each experimental unit, and calculates the average daily weight gain (Mean) of the beef cattle in each experimental unit. The calculation formula is as follows: ; The analysis unit receives the total weight data L of the consumed TMR feed and calculates the Total Dry Matter Intake (DMI) for each experimental unit, using the following formula: ; Where Pre represents the dry matter content inside the TMR feed; The analysis unit calculates the weight gain cost (COG) for each experimental unit; the calculation formula is as follows: ; Where Ue is the cost price of 1 kg of TMR feed.
7. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 6, characterized in that: The analysis unit receives the COG generated by each experimental unit, performs a comparison operation, and determines the experimental unit with the smallest COG. The analysis unit receives the TMR diet ratio of the experimental unit and determines that the TMR diet ratio is the most suitable feeding program. The analysis unit transmits the most suitable feeding program to the feeding subsystem.
8. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 7, characterized in that: The real-time feeding unit is used to control the TMR diet delivery within each experimental unit. After receiving the optimal feeding plan, the adjustment module adjusts the TMR diet ratio in each experimental unit to be the same as the optimal feeding plan.
9. The high-efficiency tea residue TMR mixing and blending system and precise beef cattle feeding system according to claim 1, characterized in that, The precision feeding system for beef cattle operates according to the following workflow: S1. The experimental division module divides beef cattle into multiple experimental units and assigns different TMR diet experimental ratios to each unit; the feeding subsystem then performs precise feeding of each experimental unit for a period of A days accordingly. S2. In step S1, the data acquisition and monitoring unit collects the initial weight, final weight, and total TMR feed consumption data of beef cattle in each experimental unit. S3. The analysis unit calculates the cost of weight gain (COG) of beef cattle in each experimental unit based on the data collected in step S2, and determines the TMR diet ratio corresponding to the experimental unit with the smallest COG value as the most suitable feeding scheme through comparative analysis. S4. The analysis unit sends the optimal feeding plan to the feeding subsystem. The adjustment module of the feeding subsystem then adjusts the feeding ratio of the whole group to the plan, and the real-time feeding control unit executes precise feeding of the whole group.