Precise feeding method and device for pig feed

Abstract

According to the precise pig feed feeding method and device, data of a plurality of feeders are obtained and transmitted to a host for processing in real time, it can be ensured that a feeding plan is generated based on latest accurate data, personal errors are avoided, precise feeding is achieved, the feeders conduct feeding according to the plan, the feeding amount is precisely controlled in combination with liquid level detection and a touch device, and the feeding efficiency is improved. Meanwhile, according to actual demands of pigs, personalized feeding plans are made, appropriate nutrition intake is ensured, excessive or insufficient feeding is avoided, the feed utilization rate is optimized, waste is reduced, breeding benefits are improved, real-time data collection and transmission and automatic generation and issuing of the feeding plans are achieved, management is simplified, manual intervention is reduced, and the feeding efficiency is improved. The efficiency and the quality are improved, the nutrition intake is balanced, the immunity of the pigs is improved, the growth speed and the meat quality are improved by optimizing the feeding plan, and remarkable economic benefits are brought to the breeding industry.

Description

Technical Field

[0001] The present invention relates to the technical field of pig feeding, and in particular to a method and device for accurately feeding pig feed. Background Art

[0002] In the traditional pig feeding method, it is impossible to accurately judge the hunger level and actual needs of pigs, which often leads to excessive or insufficient feed. Excessive feed will not only cause waste, but also increase breeding costs and may even pollute the environment, while insufficient feed will affect the normal growth and health of pigs. In addition, the nutritional needs of pigs are different at different growth stages and health conditions. Traditional pig feeding methods often use a unified feed formula and feeding amount, which cannot meet the personalized nutritional needs of pigs, which will lead to slow growth, poor health, and even disease. In addition, traditional pig feeding methods require manual feed delivery and management, which is labor-intensive and inefficient. Summary of the invention

[0003] In view of this, the present invention proposes a method and device for accurately feeding pig feed, which can solve the defects of the prior art such as inaccurate feed delivery, inability to meet the personalized nutritional needs of pigs and artificial feeding.

[0004] The technical solution of the present invention is achieved in this way:

[0005] A method for accurately feeding pig feed, specifically comprising:

[0006] Obtain feeding data from multiple feeders and transmit all feeding data to the host through the gateway;

[0007] The host generates a feeding plan for each feeder based on the received feeding data, and sends the feeding plan for each feeder to the corresponding feeder through the gateway at a regular interval;

[0008] The feeder releases feed according to the feeding plan and uses a liquid level detection device to determine whether the pigs have finished eating the feed. It then releases further feed through a touch device until the maximum feeding amount is reached, thereby achieving precise feeding.

[0009] As a further optional solution of the pig feed precision feeding method, the host generates a feeding plan for each feeder according to the received feeding data, specifically including:

[0010] Collect basic information of pigs;

[0011] Calculate the daily nutritional requirement of each pig based on the basic information of the pigs and the nutritional index system;

[0012] Analyze the received feeding data using machine learning algorithms to obtain the relationship between feeding amount and pig growth performance;

[0013] Combined with the current nutritional requirements of pigs and the relationship between feeding amount and pig growth performance, the prediction model is used to predict the feeding requirements of pigs in the future preset time period;

[0014] According to the prediction results, a feeding plan is formulated for each feeder, wherein the feeding plan includes the number of feedings per day, the feeding amount for each feeding, the type and proportion of feed.

[0015] As a further optional solution of the method for accurate feeding of pig feed, the method of using a machine learning algorithm to analyze the received feeding data to obtain the relationship between the feeding amount and the growth performance of the pigs specifically includes:

[0016] Obtain historical growth performance data and historical feeding data of pigs;

[0017] Extracting features related to feed amount and growth performance from historical feeding data and historical growth performance data;

[0018] Train the machine learning algorithm based on the extracted features to obtain an analysis model;

[0019] The feeding data received in real time is input into the analysis model to obtain the relationship between feeding amount and pig growth performance.

[0020] As a further optional solution of the method for accurately feeding pig feed, the feeder comprises:

[0021] A feeder bracket, used to fix the feeder body on the ground;

[0022] Storage containers for storing feed or water;

[0023] An output pipe, connected to the bottom of the storage container, for outputting feed or water;

[0024] A touch device is used to detect whether the pigs have eaten the pig feed;

[0025] Liquid level detection device, used to detect whether the pigs have finished eating the pig feed;

[0026] The control panel is used to receive the feeding plan sent by the host and control the feeding according to the feeding plan.

[0027] As a further optional solution of the method for accurate feeding of pig feed, the method further includes:

[0028] The host receives and processes the alarm information transmitted by the feeder in real time, and displays the alarm information through an intuitive web interface. Users can view daily data and alarm records on the web interface.

[0029] As a further optional solution of the method for accurate feeding of pig feed, the method further includes:

[0030] The feeding plan of each feeder is stored, and a feeding report is generated according to the feeding plan of each feeder.

[0031] A precise feeding device for pig feed, comprising:

[0032] An acquisition module is used to acquire feeding data of multiple feeders and transmit all feeding data to the host through the gateway;

[0033] A feeding plan generation module is used for the host to generate a feeding plan for each feeder according to the received feeding data, and to send the feeding plan for each feeder to the corresponding feeder through the gateway at a regular interval;

[0034] The feeding module is used to feed the feeder according to the feeding plan, and uses the liquid level detection device to determine whether the pigs have eaten the feed. It further feeds the feed through the touch device until the maximum feeding amount is reached, thereby achieving precise feeding.

[0035] A computing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for accurate feeding of pig feed when executing the computer program.

[0036] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for accurate feeding of pig feed.

[0037] The beneficial effects of the present invention are as follows: by acquiring the feeding data of multiple feeders and transmitting them to the host for processing in real time, it can be ensured that the feeding plan of each feeder is generated based on the latest and accurate data. This method avoids the errors of human judgment and experience-based feeding in the traditional feeding method, making feeding more accurate. At the same time, the feeder discharges the feed according to the feeding plan, and uses the liquid level detection device to judge whether the pig feed has been eaten, and further discharges the feed through the touch device until the maximum feeding amount is reached. This process realizes the precise control of the feeding amount and further improves the accuracy of feeding. In addition, it is possible to formulate personalized feeding plans according to the actual needs and growth conditions of the pigs. This personalized feeding plan can ensure that the pigs obtain the most appropriate nutritional intake and avoid overfeeding or In the case of malnutrition, feed waste can be reduced and breeding efficiency can be improved by optimizing feed utilization. In addition, this technical solution realizes the real-time collection and transmission of feeding data, as well as the automatic generation and issuance of feeding plans, which allows breeding managers to monitor and manage the feeding process more conveniently and reduce manual intervention and labor intensity. At the same time, through data analysis, problems in the feeding process can be discovered and solved in a timely manner, improving the efficiency and quality of breeding management, ensuring that pigs obtain a balanced nutritional intake to meet their growth and development needs, which helps to improve the immunity and disease resistance of pigs and reduce the occurrence and spread of diseases. At the same time, by optimizing feeding plans, the growth rate and meat quality of pigs can also be improved, bringing more economic benefits to the breeding industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 This is a schematic diagram of a process of a method for accurately feeding pig feed according to the present invention;

[0040] Figure 2 This is a schematic diagram of the composition of a precise pig feeding system of the present invention;

[0041] Figure 3 It is a schematic diagram of the structure of the feeder;

[0042] Figure 4 A schematic diagram of the composition of a computing device of the present invention;

[0043] Explanation of the accompanying reference numerals: 1. feeder bracket; 2. storage container; 3. output tube; 4. touch device; 5. liquid level detection device; 6. control panel. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] refer to Figures 1 to 4 , a method for accurate feeding of pig feed, specifically comprising:

[0046] Obtain feeding data from multiple feeders and transmit all feeding data to the host through the gateway;

[0047] The host generates a feeding plan for each feeder based on the received feeding data, and sends the feeding plan for each feeder to the corresponding feeder through the gateway at a regular interval;

[0048] The feeder releases feed according to the feeding plan and uses a liquid level detection device to determine whether the pigs have finished eating the feed. It then releases further feed through a touch device until the maximum feeding amount is reached, thereby achieving precise feeding.

[0049] In this embodiment, by acquiring the feeding data of multiple feeders and transmitting them to the host for processing in real time, it can be ensured that the feeding plan of each feeder is generated based on the latest and accurate data. This method avoids the errors of human judgment and experience-based feeding in the traditional feeding method, making feeding more accurate. At the same time, the feeder discharges the feed according to the feeding plan, and uses the liquid level detection device to determine whether the pig feed has been eaten, and further discharges the feed through the touch device until the maximum feeding amount is reached. This process realizes the precise control of the feeding amount and further improves the accuracy of feeding. In addition, it can formulate personalized feeding plans according to the actual needs and growth conditions of the pigs. This personalized feeding plan can ensure that the pigs obtain the most appropriate nutritional intake and avoid overfeeding or underfeeding. In the case of insufficient feeding, by optimizing feed utilization, feed waste can be reduced and breeding efficiency can be improved. In addition, this technical solution realizes the real-time collection and transmission of feeding data, as well as the automatic generation and issuance of feeding plans, which makes it easier for breeding managers to monitor and manage the feeding process and reduce manual intervention and labor intensity. At the same time, through data analysis, problems in the feeding process can be discovered and solved in a timely manner, thereby improving the efficiency and quality of breeding management and ensuring that pigs obtain a balanced nutritional intake to meet their growth and development needs. This helps to improve the immunity and disease resistance of pigs and reduce the occurrence and spread of diseases. At the same time, by optimizing feeding plans, the growth rate and meat quality of pigs can also be improved, bringing more economic benefits to the breeding industry.

[0050] Preferably, the host generates a feeding plan for each feeder according to the received feeding data, specifically comprising:

[0051] Collect basic information of pigs;

[0052] Calculate the daily nutritional requirement of each pig based on the basic information of the pigs and the nutritional index system;

[0053] Analyze the received feeding data using machine learning algorithms to obtain the relationship between feeding amount and pig growth performance;

[0054] Combined with the current nutritional requirements of pigs and the relationship between feeding amount and pig growth performance, the prediction model is used to predict the feeding requirements of pigs in the future preset time period;

[0055] According to the prediction results, a feeding plan is formulated for each feeder, wherein the feeding plan includes the number of feedings per day, the feeding amount for each feeding, the type and proportion of feed.

[0056] In this embodiment, collecting basic information of pigs includes collecting basic information such as breed, age, gender, weight, and health status of the pigs. This information is the basis for formulating a feeding plan and helps to ensure the scientificity and accuracy of the feeding plan; according to the basic information of the pigs and the nutritional indicator system (such as the demand for nutrients such as energy, protein, minerals, and vitamins), the daily nutritional requirements of each pig are calculated. This step ensures that the pigs can obtain a balanced nutritional intake to meet their growth and development needs; the received feeding data is analyzed using a machine learning algorithm to obtain the relationship between the feeding amount and the growth performance of the pigs. This step helps to discover the feeding process The laws and trends in the feed provide a scientific basis for formulating more accurate feeding plans; combined with the current nutritional requirements of pigs and the relationship between feeding amount and pig growth performance, the prediction model is used to predict the feeding needs of pigs in the preset time period in the future. This step realizes the accurate prediction of feeding needs, which helps to formulate and adjust feeding plans in advance to ensure that pigs can obtain continuous and stable nutrition supply; according to the prediction results, a feeding plan is formulated for each feeder. The feeding plan includes key information such as the number of feedings per day, the feeding amount each time, the type and ratio of feed. This step ensures the personalization and refinement of the feeding plan, which helps to meet the specific needs of different pigs.

[0057] It should be noted that by collecting basic information of pigs and calculating nutritional requirements, as well as using machine learning algorithms and predictive models for data analysis, this technical solution can achieve accurate prediction and planning of feeding needs, which helps to improve the accuracy of feeding and ensure that pigs obtain the most appropriate nutritional intake; accurate feeding plans can avoid overfeeding or malnutrition, thereby reducing feed waste and improving feed utilization, which helps to reduce breeding costs and improve breeding benefits; this technical solution realizes the real-time collection, analysis and utilization of feeding data, as well as the automatic generation and issuance of feeding plans, which helps to improve the efficiency and quality of breeding management and reduce manual intervention and labor intensity; accurate feeding plans can ensure that pigs obtain balanced nutritional intake to meet their growth and development needs, which helps to improve the immunity and disease resistance of pigs, reduce the occurrence and spread of diseases, and promote the healthy growth of pigs.

[0058] Preferably, the method of analyzing the received feeding data using a machine learning algorithm to obtain the relationship between the feeding amount and the growth performance of the pigs specifically includes:

[0059] Obtain historical growth performance data and historical feeding data of pigs;

[0060] Extracting features related to feed amount and growth performance from historical feeding data and historical growth performance data;

[0061] Train the machine learning algorithm based on the extracted features to obtain an analysis model;

[0062] The feeding data received in real time is input into the analysis model to obtain the relationship between feeding amount and pig growth performance.

[0063] In this embodiment, historical growth performance data (such as weight change, daily weight gain, feed conversion rate, etc.) and historical feeding data (such as feeding time, feeding amount, feed type, etc.) of pigs are collected from channels such as breeding records, databases or sensors. These data are the basis for training machine learning algorithms; features closely related to feeding amount and growth performance are extracted from historical data. These features include the age, gender, breed, breeding environment, feed composition, etc. of pigs, which can reflect the impact of feeding amount on growth performance; based on the extracted features, a suitable machine learning algorithm (such as linear regression, decision tree, random forest, gradient boosting machine, etc.) is selected for training. During the training process, the algorithm will learn the complex relationship between features and growth performance, and generate a model that can predict the impact of feeding amount on growth performance; the feeding data received in real time is input into the trained analysis model, and the model will predict the relationship between feeding amount and pig growth performance based on the input data, which helps breeders to understand the feeding effect in a timely manner and adjust the feeding strategy.

[0064] It should be noted that by using machine learning algorithms to analyze and learn a large amount of historical data, this technical solution can capture the complex relationship between feeding amount and growth performance, thereby improving the accuracy of predictions, which helps farmers to formulate more scientific feeding plans and optimize feed utilization; this technical solution can formulate personalized feeding plans for each pig based on individual differences of pigs (such as age, gender, breed, etc.) and real-time feeding data, which helps to meet the nutritional needs of pigs and promote their healthy growth; through real-time analysis and prediction of the relationship between feeding amount and growth performance, farmers can adjust feeding strategies in time to avoid overfeeding or malnutrition, which helps to reduce feed waste and improve breeding efficiency.

[0065] Preferably, the feeder comprises:

[0066] A feeder bracket 1, used to fix the feeder body on the ground;

[0067] A storage container 2, used for storing feed or water;

[0068] An output pipe 3, connected to the bottom of the storage container, for outputting feed or water;

[0069] A touch device 4 is used to detect whether the pigs have eaten the pig feed;

[0070] Liquid level detection device 5, used to detect whether the pigs have finished eating the pig feed;

[0071] The control panel 6 is used to receive the feeding plan sent by the host and control the feeding according to the feeding plan.

[0072] In this embodiment, the feeder support 1 is used to stably fix the feeder body on the ground to ensure that the feeder will not fall over or move during use, thereby ensuring the continuity and stability of feeding; the storage container 2 is used to store feed or water to ensure that the pigs can get the required food and drinking water at any time. The storage container 2 should have sufficient capacity to reduce the need for frequent feed replenishment while keeping the feed dry and clean; the output pipe 3 is connected to the bottom of the storage container to output the feed or water to a position where the pigs can touch it. The design of the output pipe 3 should ensure that the feed or water can flow out evenly and stably to avoid blockage or excessive flow; the touch device 4 is used to Detect whether the pigs are eating pig feed. When the pigs touch the touch device, the feeding mechanism can be triggered to continue to provide feed, which helps to ensure that the pigs can get enough feed when needed; the liquid level detection device 5 is used to detect whether the pig feed has been eaten. When the liquid level detection device 5 detects that the feed is reduced to a preset level, a signal can be sent to the control panel 6 to trigger the next feeding, which helps to avoid feed waste and pig hunger; the control panel 6 is used to receive the feeding plan sent by the host and control the feeding according to the feeding plan. The control panel 6 can integrate intelligent algorithms to accurately control the amount and time of feeding according to the real-time needs of the pigs and the feeding plan.

[0073] It should be noted that, by integrating the touch device 4 and the liquid level detection device 5, the feeder can monitor the pigs' eating habits and feed residue in real time, so as to accurately control the feeding according to the feeding plan, which helps to ensure that the pigs get the right amount of feed to avoid excessive or insufficient feed. Accurate feeding control can reduce feed waste and improve feed utilization. By real-time monitoring and adjusting the feeding amount, the feeder can ensure that the pigs get the most appropriate nutritional intake while reducing unnecessary feed consumption. The automated and intelligent management of the feeder can significantly reduce the frequency and labor intensity of manual intervention. Farmers can understand the feeding situation in real time through the control panel or remote monitoring system and make adjustments as needed, which helps to improve breeding efficiency and reduce operating costs.

[0074] Preferably, the method further comprises:

[0075] The host receives and processes the alarm information transmitted by the feeder in real time, and displays the alarm information through an intuitive web interface. Users can view daily data and alarm records on the web interface.

[0076] In this embodiment, the host can receive alarm information from the feeder in real time, such as insufficient feed, equipment failure, pig abnormality, etc. Through the built-in processing logic, the host can automatically classify, analyze and process these alarm information, and generate corresponding processing suggestions or notifications; the host displays the processed alarm information to the user through an intuitive web interface, which can clearly display key information such as the type, time, and location of the alarm information, as well as the details of the processing suggestions or notifications; users can conveniently view daily feeding data, pig growth data and alarm records through the web interface. These data and information can help users fully understand the breeding situation and promptly discover and solve problems.

[0077] It should be noted that by receiving and processing alarm information in real time, the host can discover problems in the breeding process at the first time, such as feed shortages, equipment failures, etc., which helps breeders take quick measures to avoid further deterioration of the problem and improve the timeliness of breeding management; the intuitive web interface allows users to view breeding data and alarm records anytime and anywhere without having to go to the breeding site in person, which greatly reduces the workload of breeders and improves the convenience of breeding management; through built-in processing logic and intuitive display interface, the host can provide users with intelligent breeding management support. Users can make decisions quickly based on alarm information and processing suggestions, optimize feeding plans, adjust breeding strategies, etc., thereby improving the intelligence level of breeding management; the web interface not only displays real-time alarm information, but also provides query functions for daily data and alarm records. Users can gain an in-depth understanding of the laws and trends in the breeding process through visual analysis of these data, providing data support for the formulation of more scientific breeding strategies.

[0078] Preferably, the method further comprises:

[0079] The feeding plan of each feeder is stored, and a feeding report is generated according to the feeding plan of each feeder.

[0080] In this embodiment, the specific feeding plan of each feeder is stored, including key information such as feeding time, feeding amount, and feed type. These plans are formulated based on factors such as the growth stage, breed, weight, and breeding environment of the pigs, aiming to ensure that the pigs obtain a balanced nutritional intake. Based on the stored feeding plans, detailed feeding reports are automatically generated. These reports include daily, weekly, monthly, and even annual feeding data summaries, as well as key indicators such as the implementation of the feeding plan, feed consumption, and pig growth.

[0081] It should be noted that by storing the feeding plan of each feeder, the system can achieve accurate management of each feeding point. Farmers can understand the feeding situation of each feeding point based on the data in the report, adjust the feeding strategy in time, and ensure that the pigs get appropriate nutritional intake; the generation of feeding reports makes the data in the breeding process traceable. Once a problem occurs, farmers can quickly locate the root cause of the problem by consulting the report and take effective solutions, which helps to improve the efficiency and accuracy of breeding management; feeding reports provide detailed feed consumption data, including the consumption amount and consumption time of each feed. These data help farmers understand the utilization of feed, adjust feed formula in time, reduce feed costs, and improve feed utilization; by analyzing the data in the feeding report, farmers can have an in-depth understanding of the growth of pigs and the changing trends of the breeding environment. These data provide strong support for the formulation of more scientific breeding strategies and help to improve breeding efficiency and the health level of pigs.

[0082] A precise feeding device for pig feed, comprising:

[0083] An acquisition module is used to acquire feeding data of multiple feeders and transmit all feeding data to the host through the gateway;

[0084] A feeding plan generation module is used for the host to generate a feeding plan for each feeder according to the received feeding data, and to send the feeding plan for each feeder to the corresponding feeder through the gateway at a regular interval;

[0085] The feeding module is used to feed the feeder according to the feeding plan, and uses the liquid level detection device to determine whether the pigs have eaten the feed. It further feeds the feed through the touch device until the maximum feeding amount is reached, thereby achieving precise feeding.

[0086] A computing device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned method for accurate feeding of pig feed when executing the computer program.

[0087] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for accurate feeding of pig feed.

[0088] 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 in the protection scope of the present invention.

Claims

1. A method for accurate feeding of pig feed, characterized in that: Specifically include: Obtain feeding data from multiple feeders and transmit all feeding data to the host through the gateway; The host generates a feeding plan for each feeder based on the received feeding data, and sends the feeding plan for each feeder to the corresponding feeder through the gateway at a regular interval; The feeder releases feed according to the feeding plan and uses a liquid level detection device to determine whether the pigs have finished eating the feed. It then releases further feed through a touch device until the maximum feeding amount is reached, thereby achieving precise feeding.

2. A method for accurate feeding of pig feed according to claim 1, characterized in that: The host generates a feeding plan for each feeder according to the received feeding data, which specifically includes: Collect basic information of pigs; Calculate the daily nutritional requirement of each pig based on the basic information of the pigs and the nutritional index system; Analyze the received feeding data using machine learning algorithms to obtain the relationship between feeding amount and pig growth performance; Combined with the current nutritional requirements of pigs and the relationship between feeding amount and pig growth performance, the prediction model is used to predict the feeding requirements of pigs in the future preset time period; According to the prediction results, a feeding plan is formulated for each feeder, wherein the feeding plan includes the number of feedings per day, the feeding amount for each feeding, the type and proportion of feed.

3. A method for accurate feeding of pig feed according to claim 2, characterized in that: The method of analyzing the received feeding data using a machine learning algorithm to obtain the relationship between the feeding amount and the growth performance of the pigs specifically includes: Obtain historical growth performance data and historical feeding data of pigs; Extracting features related to feed amount and growth performance from historical feeding data and historical growth performance data; Train the machine learning algorithm based on the extracted features to obtain an analysis model; The feeding data received in real time is input into the analysis model to obtain the relationship between feeding amount and pig growth performance.

4. A method for accurate feeding of pig feed according to claim 3, characterized in that: The feeder comprises: A feeder bracket (1), used for fixing the feeder body on the ground; A storage container (2) for storing feed or water; An output pipe (3), connected to the bottom of the storage container, for outputting feed or water; A touch device (4) is used to detect whether the pigs have eaten the pig feed; A liquid level detection device (5) is used to detect whether the pigs have finished eating the pig feed; The control panel (6) is used to receive the feeding plan sent by the host and control the feeding according to the feeding plan.

5. A method for accurate feeding of pig feed according to claim 4, characterized in that: The method further comprises: The host receives and processes the alarm information transmitted by the feeder in real time, and displays the alarm information through an intuitive web interface. Users can view daily data and alarm records on the web interface.

6. A method for accurate feeding of pig feed according to claim 5, characterized in that: The method further comprises: The feeding plan of each feeder is stored, and a feeding report is generated according to the feeding plan of each feeder.

7. A precise feeding device for pig feed, characterized in that: include: An acquisition module is used to acquire feeding data of multiple feeders and transmit all feeding data to the host through the gateway; A feeding plan generation module is used for the host to generate a feeding plan for each feeder according to the received feeding data, and to send the feeding plan for each feeder to the corresponding feeder through the gateway at a regular interval; The feeding module is used to feed the feeder according to the feeding plan, and uses the liquid level detection device to determine whether the pigs have eaten the feed. It further feeds the feed through the touch device until the maximum feeding amount is reached, thereby achieving precise feeding.

8. A computing device, characterized in that The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for precise feeding of pig feed according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the method for accurately feeding pig feed according to any one of claims 1 to 6 are implemented.

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