Automatic chicken raising equipment-oriented accurate feeding optimization decision-making system and feeding method

Abstract

The invention discloses an automatic chicken raising equipment oriented accurate feeding optimization decision-making system and a feeding method, and relates to the technical field of automatic feeding management.The automatic chicken raising equipment oriented accurate feeding optimization decision-making system and the feeding method are characterized in that a feeding relation graph is constructed, feeding points are layered, feeding groups are formed, cross-layer feeding correlation lines are determined, and key feeding feature points are connected to form a feeding planning graph; the method optimizes a feeding strategy, constructs a precise feeding model, and comprises hierarchical division, feeding group determination, association line connection and dynamic adjustment of the feeding model, the system can improve the feed utilization rate, ensure balanced ingestion of chicken flocks, improve the automation level and production efficiency of chicken raising, realize precise and intelligent feeding, and improve the production efficiency. The method is suitable for fine management of modern chicken farms.

Description

Technical Field

[0001] The present invention relates to the technical field of automated feeding management, and more specifically, to a precise feeding optimization decision-making system and feeding method for automated chicken-raising equipment. Background Art

[0002] In modern chicken farms, the application of automated chicken-raising equipment is becoming increasingly popular, aiming to improve production efficiency, reduce labor costs, and optimize the growth environment of chicken flocks. Traditional feeding methods mostly rely on manual experience or fixed-time feeding strategies. This method is not only inefficient but also easily leads to feed waste or insufficient feeding of chicken flocks, thereby affecting the growth performance and health status of chicken flocks. With the development of automated technology, chicken farms have begun to introduce data-driven feeding management systems to optimize feeding strategies by collecting the feeding data of chicken flocks. However, there are still many deficiencies in the optimization of existing feeding strategies, especially in terms of data correlation and dynamic adjustment capabilities. Usually, only single feeding data is analyzed, lacking systematic modeling of the correlation between different feeding areas or equipment in the chicken house, resulting in inaccurate formulation of feeding strategies. In addition, there are limitations in dynamic adjustment, unable to quickly optimize according to the real-time feeding data of chicken flocks, and it is difficult to meet the dynamic needs of chicken flocks at different growth stages. Therefore, a method that can comprehensively analyze the feeding data of feeding points in the chicken house and dynamically optimize feeding strategies is of great significance for improving the feeding efficiency and accuracy of automated chicken-raising equipment.

[0003] Therefore, the existing technology has problems such as extensive feeding strategies, insufficient data utilization, and lack of dynamic optimization. Summary of the Invention

[0004] In order to overcome the problems existing in the prior art, such as extensive feeding strategies, insufficient data utilization, and lack of dynamic optimization, the present invention discloses a precise feeding optimization decision-making system and feeding method for automated chicken-raising equipment, which can effectively solve the above technical problems.

[0005] To solve the above technical problems, the technical solution of the present invention is as follows:

[0006] A precise feeding optimization method for automated chicken-raising equipment, comprising:

[0007] Based on each chicken house in the chicken farm, connect the feeding data of adjacent feeding points with feeding correlations in the chicken house to form a feeding relationship graph; the feeding points represent different feeding areas or equipment in the chicken house;

[0008] According to the shortest path lengths from each feeding point to the feeding starting point in the feeding relationship graph, divide the feeding points into different levels to obtain the set of feeding points at each level;

[0009] In the feeding point sets at each level, determine the mutually related feeding data respectively to form feeding groups at each level;

[0010] According to the feeding relationship diagram, determine the cross-level feeding correlation lines that span adjacent levels;

[0011] For each cross-level feeding correlation line, connect the key feeding feature points of the feeding groups at both ends of the correlation line to form the first feeding plan diagram;

[0012] Based on the first feeding plan diagram, optimize the feeding strategy of the chicken farm and construct a precise feeding model.

[0013] Preferably, the division of the feeding points into different levels includes:

[0014] According to the shortest path lengths from each feeding point to the feeding starting point in the feeding relationship diagram, determine the longest path length;

[0015] For each feeding point, determine the level to which the feeding point belongs according to the ratio of its path length to the feeding starting point to the longest path length and the preset total number of levels.

[0016] Preferably, the formation of the first feeding plan diagram includes:

[0017] Assign an index label to each feeding group;

[0018] Connect the index labels of the feeding groups at both ends of the cross-level feeding correlation line to form an index relationship diagram;

[0019] According to the label endpoints of each index line in the index relationship diagram, connect the key feature points of the corresponding feeding groups to form the first feeding plan diagram.

[0020] Preferably, the construction of the precise feeding model includes:

[0021] Optimize the key points or key lines in the first feeding plan diagram to obtain the second feeding plan diagram;

[0022] According to the key lines in the second feeding plan diagram, analyze the feeding requirements of the chicken farm to obtain a preliminary feeding model;

[0023] Dynamically adjust and test the end strategies of the preliminary feeding model to obtain a precise feeding model.

[0024] Preferably, the optimization of the first feeding plan diagram includes:

[0025] For each key point in the first feeding plan diagram, determine the weight of the key point according to the sum of the path lengths from the key point to the sub-feeding points;

[0026] According to the ratio of the weights at both ends of the key line, determine the standard value of the length of the key line;

[0027] Delete the key lines that meet the preset conditions to obtain the second feeding plan diagram.

[0028] Preferably, the analysis of feeding requirements includes:

[0029] Determine the initial feeding amount according to the feeding density of the chicken flock in the feeding relationship diagram;

[0030] Dynamically adjust the initial feeding amount according to the weights at both ends of the key lines in the second feeding plan diagram to obtain the feeding amounts of each key line;

[0031] For non-terminal key lines, determine the feeding frequency according to the feeding amount and the distribution of feeding data;

[0032] For terminal key lines, analyze the feeding data according to the preset criteria to determine the feeding amount and frequency;

[0033] Determine the preliminary feeding model according to the feeding amounts and frequencies of each key line.

[0034] Preferably, the dynamic adjustment and testing include:

[0035] Collect new feeding data to test the preliminary feeding model;

[0036] According to the test results, adjust the feeding strategy, optimize the feeding amount and frequency, and obtain the precise feeding model.

[0037] A precise feeding optimization system for automated chicken raising equipment includes:

[0038] A relationship diagram construction unit for connecting the feeding data of adjacent feeding points with feeding associations in the chicken house to form a feeding relationship diagram;

[0039] A hierarchical division unit for dividing the feeding points into different levels according to the path lengths from each feeding point to the feeding starting point in the feeding relationship diagram;

[0040] A feeding group determination unit for determining the interrelated feeding data in each level to form a feeding group;

[0041] An associated line determination unit for determining the cross-layer feeding association lines that span adjacent levels;

[0042] A feature point connection unit for connecting the key feature points of the feeding groups at both ends of the cross-layer feeding association lines to form the first feeding plan diagram;

[0043] A feeding model construction unit for optimizing the feeding strategy based on the first feeding plan diagram and constructing a precise feeding model.

[0044] An electronic device includes a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the above-mentioned feeding optimization method.

[0045] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned feeding optimization method.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows: The traditional feeding method relies on manual experience or fixed-time feeding and cannot dynamically adjust according to the actual needs of the chicken flock. By constructing a feeding relationship graph, dividing feeding points into different levels, and forming feeding groups, the present invention can comprehensively reflect the feeding behavior patterns of the chicken flock, thereby formulating a more accurate feeding strategy that better meets the actual needs of the chicken flock; By constructing a feeding relationship graph, dividing levels, forming feeding groups, and determining cross-level feeding connection lines, etc., the present invention systematically models the correlation between different feeding areas or devices in the chicken house, fully explores the potential value of feeding data, and improves the data utilization efficiency; Through dynamic adjustment and testing steps, new feeding data is collected to test the preliminary feeding model, and the feeding strategy is adjusted according to the test results, realizing the dynamic optimization of the feeding strategy and meeting the dynamic needs of the chicken flock at different growth stages. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, other implementation drawings can be obtained by extending according to the provided drawings without creative efforts.

[0048] Figure 1 It is a flowchart of the precise feeding optimization method for automated chicken raising equipment;

[0049] Figure 2 It is a structural diagram of the precise feeding optimization system for automated chicken raising equipment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] The drawings are only for illustrative purposes and should not be construed as a limitation of this patent;

[0051] In order to better illustrate this embodiment, some components in the drawings are omitted, enlarged, or reduced, and do not represent the actual size of the product;

[0052] For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0053] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0054] Embodiment 1

[0055] A precise feeding optimization method for automated chicken farming equipment, as Figure 1 shown, includes:

[0056] Based on each chicken coop in the chicken farm, the feeding data of adjacent feeding points with feeding associations in the chicken coop are connected to form a feeding relationship graph; the feeding points represent different feeding areas or equipment in the chicken coop.

[0057] According to the shortest path lengths from each feeding point to the feeding starting point in the feeding relationship graph, the feeding points are divided into different levels to obtain the feeding point sets at each level.

[0058] In the feeding point sets at each level, the mutually associated feeding data are respectively determined to form the feeding groups at each level.

[0059] According to the feeding relationship graph, the cross-level feeding association lines spanning adjacent levels are determined.

[0060] For each cross-level feeding association line, the key feeding feature points of the feeding groups at both ends of the association line are connected to form the first feeding planning graph.

[0061] Based on the first feeding planning graph, the feeding strategy of the chicken farm is optimized to construct a precise feeding model.

[0062] Sensors are installed at each feeding point in the chicken farm to collect feeding data, including information such as feeding time, number of feeding chickens, and feeding duration. By analyzing these data, adjacent feeding points with feeding associations are found. For example, in chicken coop A, the feeding point A1 in the corner and the feeding point A2 along the wall. During a period of time, when the number of feeding chickens at A1 increases, the number of feeding chickens at A2 also increases accordingly, indicating that there is a feeding association between these two feeding points. The feeding data of these associated feeding points are connected to form a feeding relationship graph. In this graph, the nodes represent feeding points and the edges represent feeding associations.

[0063] In the feeding relationship diagram, determine a feeding starting point. For example, select a feeding point near the entrance of the chicken coop as the feeding starting point, and calculate the shortest path lengths from each feeding point to the feeding starting point. Suppose after calculation, the shortest path lengths from each feeding point to the feeding starting point are obtained, and the longest path length is 10 (assuming the unit is meters, representing the number of feeding points passed or the distance). The preset total number of levels is 5. For each feeding point, determine its belonging level according to the ratio of its path length to the feeding starting point to the longest path length. For example, if the path length from feeding point A3 to the feeding starting point is 4, then its level is 4÷10×5 = 2. By analogy, all feeding points are divided into different levels to obtain the feeding point sets of each level.

[0064] In the feeding point set of each level, analyze the feeding data of each feeding point. For example, in the feeding point set of the second level, it is found that the feeding data such as the feeding time and the number of feeding chickens at feeding points A5, A6, and A7 have similar changing trends. That is, when the number of feeding chickens at A5 increases, the number of feeding chickens at A6 and A7 also increases synchronously. Group the feeding points corresponding to these interrelated feeding data into one group to form the feeding group of this level. Perform such operations for each level to obtain the feeding groups of each level.

[0065] Analyze the feeding relationship diagram again to find the feeding associations that span adjacent levels. For example, there is an association between feeding point A5 in the feeding group of the second level and feeding point A8 in the feeding group of the third level. When the feeding situation of A5 changes, the feeding situation of A8 will also be affected. Then the line connecting A5 and A8 is a cross-level feeding association line. Determine all such cross-level feeding association lines.

[0066] Assign a unique index label to each feeding group. For example, the label of feeding group 1 in the first level is "G1-1", and the label of feeding group 2 in the second level is "G2-2", etc. Connect the index labels of the feeding groups at both ends of the cross-level feeding association line to form an index relationship diagram. For example, the line connecting "G2-2" and "G3-1" constitutes an index line in the index relationship diagram. According to the label endpoints of each index line in the index relationship diagram, find the corresponding feeding groups and connect their key feeding characteristic points, such as the feeding data points during the peak feeding period, to form the first feeding plan diagram.

[0067] For each key point in the first feeding plan diagram, that is, the key feeding feature points of the feeding group, calculate its path length to the sub-feeding points. If the feeding group represented by the key point contains multiple feeding points, the sum of the path lengths to these sub-feeding points is calculated. For example, if the feeding group represented by key point K1 contains 3 sub-feeding points, and the path lengths to these 3 sub-feeding points are 2, 3, and 1 respectively, then the sum of the path lengths is 6. Based on this sum, the weight of key point K1 is determined to be 6. According to the ratio of the weights at both ends of the key line, the standard value of the length of the key line is determined. Suppose the weights of key points K1 and K2 at both ends of key line L1 are 6 and 3 respectively, then the standard value of the length is 6÷3 = 2. Delete some key lines that do not meet the preset conditions, such as key lines with a standard value of the length less than 1.5 (preset value), to obtain the second feeding plan diagram.

[0068] According to the feeding density of the chicken flock in the feeding relationship diagram, determine the feeding density by counting the number of chickens per unit area around each feeding point, and determine the initial feeding amount. If the area has a high feeding density, the initial feeding amount is 150 grams of feed per chicken per day. Dynamically adjust the initial feeding amount according to the weights at both ends of the key line in the second feeding plan diagram. For example, if the weights of the key points at both ends of key line L2 are 8 and 4 respectively, then adjust the initial feeding amount. The feeding amount increases near the end with a weight of 8, assumed to be adjusted to 180 grams per chicken per day, and adjusted to 130 grams per chicken per day near the end with a weight of 4. For non-terminal key lines, determine the feeding frequency according to the feeding amount and the distribution of feeding data. For example, if the feeding data corresponding to a certain non-terminal key line shows that the chicken flock feeds relatively frequently, then the feeding frequency is set to 4 times a day. For terminal key lines, analyze the feeding data according to preset standards, such as standards formulated based on factors such as the growth stage and weight of the chicken flock, to determine the feeding amount and frequency. Finally, determine the preliminary feeding model according to the feeding amount and frequency of each key line.

[0069] The chicken farm continuously collects new feeding data, for example, collecting new data once every week, and uses this new data to test the preliminary feeding model, analyzing whether the feeding amount meets the needs of the chicken flock, whether the feeding frequency is appropriate, etc. According to the test results, adjust the feeding strategy. If it is found that the chicken flock in a certain area does not feed sufficiently, increase the feeding amount in this area or adjust the feeding frequency. After multiple adjustments and tests, obtain the precise feeding model.

[0070] The division of the feeding points into different levels includes:

[0071] Determine the longest path length according to the shortest path length from each feeding point to the feeding starting point in the feeding relationship diagram;

[0072] For each feeding point, determine the level to which the feeding point belongs according to the ratio of its path length to the feeding starting point to the longest path length and the total number of preset levels.

[0073] The formation of the first feeding plan diagram includes:

[0074] Assign an index label to each feeding group;

[0075] Connect the index labels of the feeding groups at both ends of the cross-layer feeding association line to form an index relationship diagram;

[0076] According to the label endpoints of each index line in the index relationship diagram, connect the key feature points of the corresponding feeding groups to form the first feeding plan diagram.

[0077] The construction of the precise feeding model includes:

[0078] Optimize the key points or key lines in the first feeding plan diagram to obtain the second feeding plan diagram;

[0079] According to the key lines in the second feeding plan diagram, analyze the feeding requirements of the chicken farm to obtain a preliminary feeding model;

[0080] Dynamically adjust and test the end strategy of the preliminary feeding model to obtain the precise feeding model.

[0081] The optimization of the first feeding plan diagram includes:

[0082] For each key point in the first feeding plan diagram, determine the weight of the key point according to the sum of the path lengths from it to the sub-feeding points;

[0083] According to the ratio of the weights at both ends of the key line, determine the standard value of the key line length;

[0084] Delete the key lines that meet the preset conditions to obtain the second feeding plan diagram.

[0085] The analysis of feeding requirements includes:

[0086] Determine the initial feeding amount according to the feeding density of the chicken flock in the feeding relationship diagram;

[0087] Dynamically adjust the initial feeding amount according to the weights at both ends of the key lines in the second feeding plan diagram to obtain the feeding amounts of each key line;

[0088] For non-end key lines, determine the feeding frequency according to the feeding amount and the distribution of feeding data;

[0089] For end key lines, analyze the feeding data according to the preset standard to determine the feeding amount and frequency;

[0090] Determine the preliminary feeding model according to the feeding amounts and frequencies of each key line.

[0091] The dynamic adjustment and testing include:

[0092] Collect new feeding data and test the preliminary feeding model;

[0093] According to the test results, adjust the feeding strategy, optimize the feeding amount and frequency, and obtain an accurate feeding model.

[0094] An electronic device includes a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the feeding optimization method described above.

[0095] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it implements the steps of the feeding optimization method described above.

[0096] Embodiment 2

[0097] An accurate feeding optimization system for automated chicken farming equipment, as Figure 2 shown, includes:

[0098] A relationship graph construction unit is used to connect the feeding data of adjacent and feeding-related feeding points in the chicken coop to form a feeding relationship graph.

[0099] A hierarchical division unit is used to divide the feeding points into different levels according to the path lengths of each feeding point to the feeding starting point in the feeding relationship graph.

[0100] A feeding group determination unit is used to determine the mutually related feeding data in each level to form a feeding group.

[0101] An associated line determination unit is used to determine the cross-level feeding associated lines that span adjacent levels.

[0102] A feature point connection unit is used to connect the key feature points of the feeding groups at both ends of the cross-level feeding associated lines to form a first feeding planning graph.

[0103] A feeding model construction unit is used to optimize the feeding strategy based on the first feeding planning graph and construct an accurate feeding model.

[0104] The accurate feeding optimization system adopts a hierarchical architecture, including a data acquisition layer, a data processing layer, and a control execution layer.

[0105] The data acquisition layer consists of sensors installed at the feeding points of each chicken coop in the chicken farm, such as weight sensors, infrared sensors, etc. The weight sensors are used to measure the weight of the feed eaten each time, and the infrared sensors are used to detect the number of chickens eating and the eating time. These sensors send the collected feeding data to the data processing layer.

[0106] The feeding relationship graph construction unit in the data processing layer receives the feeding data transmitted from the data acquisition layer, analyzes the correlation of the feeding data at adjacent feeding points, connects the feeding data of the feeding points with feeding correlations, constructs a feeding relationship graph, and stores the constructed graph in the database.

[0107] The hierarchical division unit reads the feeding relationship graph from the database, calculates the path lengths from each feeding point to the feeding starting point, divides the feeding points into different levels according to the preset hierarchical division method, obtains the set of feeding points at each level, and stores the result in the database.

[0108] The feeding group determination unit analyzes the correlation of the feeding data according to the set of feeding points at each level, determines the feeding groups at each level, and stores the feeding group information in the database.

[0109] The cross-layer feeding connection line determination unit reads the feeding relationship graph and the feeding group information from the database, finds out the cross-layer feeding connection lines that span adjacent levels, and stores the connection line information in the database.

[0110] The key feature point connection unit assigns index labels to each feeding group, forms an index relationship graph by connecting the index labels of the feeding groups according to the cross-layer feeding connection lines, and then connects the key feature points of the feeding groups according to the index relationship graph to form a first feeding plan graph, and stores the first feeding plan graph in the database.

[0111] The feeding model construction unit reads the first feeding plan graph from the database, optimizes it according to the optimization method to obtain a second feeding plan graph, analyzes the feeding requirements according to the second feeding plan graph, constructs a preliminary feeding model, collects new feeding data to test and dynamically adjust the preliminary feeding model, and finally obtains an accurate feeding model, and stores the accurate feeding model in the database.

[0112] The control execution layer is connected to the automated feeding device, reads the feeding strategies of the accurate feeding model from the database, such as feeding amount and feeding frequency and other information, controls the feeding device to perform accurate feeding according to the strategy, and at the same time feeds the actual feeding data back to the data acquisition layer for subsequent analysis and optimization.

[0113] The sensors in the data acquisition layer continuously collect the feeding data and send the data to the data processing layer; the relationship graph construction unit constructs the feeding relationship graph, the hierarchical division unit conducts hierarchical division, the feeding group determination unit determines the feeding groups, the cross-layer feeding connection line determination unit determines the cross-layer feeding connection lines, the key feature point connection unit forms the first feeding plan graph, the feeding model construction unit constructs the accurate feeding model, and each unit executes in turn and stores the results in the database; the control execution layer obtains the feeding strategies of the accurate feeding model from the database, controls the automated feeding device to feed, and feeds the feeding data back to the data acquisition layer, forming a closed-loop optimization system to continuously improve the accuracy of feeding.

[0114] Like or similar reference numerals correspond to like or similar components;

[0115] The terms used to describe the positional relationship in the drawings are for illustrative purposes only and should not be construed as a limitation of this patent;

[0116] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, rather than limitations on the implementation manners of the present invention. For those of ordinary skill in the art, based on the above description, other different forms of changes or modifications can be made. It is not necessary and impossible to list all the implementation manners here. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A precise feeding optimization method for automated chicken farming equipment, characterized in that, Including: Based on each chicken coop in the chicken farm, connect the feeding data of adjacent feeding points with feeding associations in the chicken coop to form a feeding relationship diagram; The feeding points represent different feeding areas or devices in the chicken coop; According to the shortest path lengths from each feeding point to the feeding starting point in the feeding relationship diagram, divide the feeding points into different levels to obtain the feeding point sets at each level; In the feeding point sets at each level, respectively determine the mutually associated feeding data to form the feeding groups at each level; According to the feeding relationship diagram, determine the cross-level feeding association lines that span adjacent levels; for each cross-level feeding association line, connect the key feeding feature points of the feeding groups at both ends of the association line to form a first feeding plan diagram; Based on the first feeding plan diagram, optimize the feeding strategy of the chicken farm and construct a precise feeding model.

2. The feeding optimization method according to claim 1, wherein The dividing the feeding points into different levels includes: According to the shortest path lengths from each feeding point to the feeding starting point in the feeding relationship diagram, determine the longest path length; For each feeding point, determine the level to which the feeding point belongs according to the ratio of its path length to the feeding starting point to the longest path length and the preset total number of levels.

3. The feeding optimization method according to claim 1, wherein The forming the first feeding plan diagram includes: Assign an index label to each feeding group; Connect the index labels of the feeding groups at both ends of the cross-level feeding association line to form an index relationship diagram; According to the label endpoints of each index line in the index relationship diagram, connect the key feature points of the corresponding feeding groups to form a first feeding plan diagram.

4. The feeding optimization method according to claim 1, wherein The constructing the precise feeding model includes: Optimize the key points or key lines in the first feeding plan diagram to obtain a second feeding plan diagram; According to the key lines in the second feeding plan diagram, analyze the feeding requirements of the chicken farm to obtain a preliminary feeding model; Dynamically adjust and test the end strategies of the preliminary feeding model to obtain a precise feeding model.

5. The feeding optimization method according to claim 4, wherein The optimizing the first feeding plan diagram includes: For each key point in the first feeding plan diagram, determine the weight of the key point according to the sum of its path lengths to the sub-feeding points; According to the ratio of the weights at both ends of the key line, determine the length standard value of the key line; Delete the key lines that meet the preset conditions to obtain a second feeding plan diagram.

6. The feeding optimization method according to claim 4, characterized in that The analyzing the feeding requirements includes: According to the feeding density of the chicken flock in the feeding relationship diagram, determine the initial feeding amount; Dynamically adjust the initial feeding amount according to the weights at both ends of the key lines in the second feeding plan diagram to obtain the feeding amounts of each key line; For non-end key lines, determine the feeding frequency according to the feeding amount and the distribution of feeding data; For end key lines, analyze the feeding data according to the preset standards to determine the feeding amount and frequency; According to the feeding amounts and frequencies of each key line, determine a preliminary feeding model.

7. The feeding optimization method according to claim 4, wherein The dynamically adjusting and testing includes: Collect new feeding data and test the preliminary feeding model; According to the test results, adjust the feeding strategy, optimize the feeding amount and frequency to obtain a precise feeding model.

8. The precise feeding optimization system for automated chicken farming equipment is implemented by the feeding optimization method according to any one of claims 1-7, and is characterized in that, Including: A relationship diagram construction unit for connecting the feeding data of adjacent feeding points with feeding associations in the chicken coop to form a feeding relationship diagram; A level division unit for dividing the feeding points into different levels according to the path lengths from each feeding point to the feeding starting point in the feeding relationship diagram; a feeding group determination unit for determining interrelated feeding data in each level to form a feeding group; an association line determination unit, for determining a cross-layer feeding association line spanning adjacent layers; A feature point connection unit is used to connect the key feature points of the feeding groups at both ends of the cross-layer feeding association line to form a first feeding planning diagram; The feeding model construction unit is used to optimize the feeding strategy based on the first feeding planning diagram and construct a precise feeding model.

9. An electronic device, characterized in that, The invention comprises a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the steps of the feeding optimization method according to claims 1 to 7 are implemented when the computer program is executed by the processor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the feeding optimization method according to claims 1-7 are implemented.

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