Intelligent control method and system for electric cattle rumen brush

Abstract

The present invention provides an intelligent control method and system for an electric cattle rumen brush, which relates to the field of agricultural breeding technology. The method comprises deploying an electric rumen brush at a target vibration position inside the cattle rumen, wherein a pH sensor is integrated in the electric rumen brush; collecting historical cattle physiological data, constructing an offset prediction model, and determining a pH target offset; constructing a personalized activation threshold prediction model, and determining a pH personalized activation threshold based on the pH target offset; obtaining a pH measurement value of the pH sensor, constructing a rumen brush vibration frequency adjustment model, and determining a target rumen brush vibration frequency based on the pH personalized activation threshold and the pH measurement value; and remotely controlling the operating state of the electric rumen brush based on the target rumen brush vibration frequency, thereby accurately improving the digestion and absorption rate of the cattle herd, reducing the disease incidence rate of the cattle herd, reducing the frequency of antibiotic use, and improving the operating efficiency and economic benefits of the ranch.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural breeding, and in particular to an intelligent control method and system for an electric cattle rumen brush. Background Art

[0002] In modern agricultural breeding, cattle often suffer from acute and subacute rumen acidosis due to feed problems, which seriously affects their digestive efficiency and health.

[0003] Traditional approaches to alleviate digestive issues in cattle include improving feed formulations, adding feed additives, and using antibiotics. However, these methods are costly, and long-term antibiotic use can lead to drug resistance. Existing technologies lack effective, non-invasive means to directly intervene in and optimize the digestive process within the rumen, making it difficult to effectively improve digestion efficiency.

[0004] Therefore, it is necessary to provide an intelligent control method and system for an electric cattle rumen brush to solve the above technical problems. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides an intelligent control method and system for an electric cattle rumen brush, which is used to solve the problems that the existing technology cannot accurately and non-invasively affect the digestion process in the rumen, is costly, and is difficult to effectively improve digestion efficiency.

[0006] The present invention provides an intelligent control method for an electric cattle rumen brush, the control method comprising:

[0007] Deploying an electric rumen brush at a target vibration position inside the cow's rumen, wherein the electric rumen brush is integrated with a pH sensor;

[0008] Collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model;

[0009] Constructing a personalized activation threshold prediction model, and determining a pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model;

[0010] The pH measurement value of the pH sensor is obtained, a rumen brush vibration frequency adjustment model is constructed, and a target rumen brush vibration frequency is determined based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and the operation state of the electric rumen brush is remotely controlled based on the target rumen brush vibration frequency.

[0011] Preferably, the electric rumen brush is deployed at a target vibration position inside the cow's rumen, and a pH sensor is integrated into the electric rumen brush, specifically comprising:

[0012] Determining the target vibration position by adjusting the specific gravity of the electric rumen brush inside the cow rumen;

[0013] deploying the electric rumen brush at the target vibration position through a cow mouth opener;

[0014] The electric rumen brush is integrated with the pH sensor, and the pH sensor is used to monitor the pH value of the rumen fluid inside the cow's rumen in real time. When it is monitored that the pH value of the rumen fluid meets the preset abnormal digestion condition, an abnormal digestion signal is sent to the external control system, and the control mechanism of the electric rumen brush is started through the external control system.

[0015] Preferably, the collecting of historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model specifically includes:

[0016] For the i-th cow, obtain the corresponding Q candidate pH offsets according to the historical cow physiological data;

[0017] The importance score of the j-th pH candidate offset for the i-th cow is calculated as follows:

[0018] Where, represents the importance score of the j-th pH candidate offset of the i-th cow; N represents the total number of trees in the random forest corresponding to the j-th pH candidate offset of the i-th cow; represents the baseline error of the mth tree in the random forest; represents the adjustment error of the mth tree in the random forest;

[0019] The predicted digestion efficiency of the i-th cow is calculated as follows:

[0020] Where, represents the predicted digestion efficiency of the i-th cow; represents the intercept term; 、 、 、 represents the regression coefficient; 、 、 Respectively represent the age, weight, and sex of the i-th cow; represents the jth candidate pH offset of the i-th cow; Q represents the total number of candidate pH offsets of the i-th cow; represents the random error term.

[0021] Preferably, based on the importance score and the predicted digestion efficiency, the sensitivity of the i-th cow to the j-th candidate pH offset is calculated as follows:

[0022] Where, represents the sensitivity of the i-th cow to the j-th pH candidate offset; represents the predicted digestion efficiency of the i-th cow; represents the importance score of the j-th pH candidate offset of the i-th cow;

[0023] For the i-th cow, the candidate pH offset corresponding to the maximum sensitivity is the target pH offset.

[0024] Preferably, the step of constructing a personalized activation threshold prediction model and determining the pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model specifically includes:

[0025] The normal pH range of the i-th cow is obtained. Based on the personalized activation threshold prediction model, the personalized pH activation threshold is calculated according to the normal pH range and the pH target offset. The corresponding calculation formula is as follows:

[0026] Where, represents the pH personalized activation threshold of the i-th cow; Indicates the weight parameter corresponding to the normal pH range; represents the normal pH range of the i-th cow; Represents the weight parameter corresponding to the pH target offset; represents the pH target offset of the i-th cow.

[0027] Preferably, the target rumen brush vibration frequency is determined based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and the corresponding calculation formula is as follows:

[0028] Where, represents the target rumen brush vibration frequency of the i-th cow at time t; represents the initial rumen brush vibration frequency of the i-th cow at time t; represents the deviation adjustment coefficient; represents the pH measurement value of the i-th cow at time t; represents the pH personalized activation threshold of the i-th cow; u represents the deviation correction coefficient.

[0029] Preferably, a method for intelligently controlling an electric cattle rumen brush further includes:

[0030] Deploy a lightweight edge computing node in a cattle pen gateway device, and load a preset response algorithm and a historical cattle health database into the lightweight edge computing node;

[0031] When the main control system fails, the lightweight edge computing node obtains the pH measurement value of the pH sensor in real time and continues to execute the operating instructions of the electric rumen brush through the local processing mechanism until the main control system returns to normal.

[0032] An intelligent control system for an electric cattle rumen brush, the control system comprising:

[0033] A rumen brush deployment module, configured to deploy an electric rumen brush at a target vibration position inside the cow's rumen, wherein the electric rumen brush is integrated with a pH sensor;

[0034] an offset prediction module for collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model;

[0035] an activation threshold prediction module, configured to construct a personalized activation threshold prediction model, and determine a pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model;

[0036] A vibration frequency control module is used to obtain the pH measurement value of the pH sensor, construct a rumen brush vibration frequency adjustment model, and determine a target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely control the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

[0037] Compared with related technologies, the intelligent control method and system of an electric cattle rumen brush provided by the present invention have the following beneficial effects:

[0038] The present invention deploys an electric rumen brush at a target vibration position inside the rumen of a cow, and a pH sensor is integrated in the electric rumen brush; collects historical cow physiological data, constructs an offset prediction model, and determines the pH target offset according to the historical cow physiological data based on the offset prediction model; constructs a personalized activation threshold prediction model, and determines the pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model; obtains the pH measurement value of the pH sensor, constructs a rumen brush vibration frequency adjustment model, and determines the target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely regulates the operating state of the electric rumen brush based on the target rumen brush vibration frequency, thereby accurately improving the digestion and absorption rate of the cattle herd, reducing the incidence of diseases in the digestive system of the cattle herd, reducing the frequency of antibiotic use, and improving the operating efficiency and economic benefits of the ranch.

[0039] Through its non-invasive design and intelligent control mechanism, this invention significantly improves cattle digestion and absorption rates, reduces the incidence of digestive system diseases, and enhances beef production and quality. Furthermore, it reduces the need for antibiotic use, lowering treatment costs and potential health risks for cattle. Furthermore, the introduction of edge computing technology enhances the robustness and responsiveness of the system, ensuring the quality of cattle digestion assistance services under remote supervision, and improving the operational efficiency and economic benefits of the entire ranch. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic flow chart of an intelligent control method for an electric cattle rumen brush provided in an embodiment of the present invention;

[0041] Figure 2 A schematic diagram of the structure of an electric rumen brush provided in an embodiment of the present invention;

[0042] Figure 3 A schematic structural diagram of an intelligent control system for an electric cattle rumen brush provided by an embodiment of the present invention;

[0043] Figure 4 A schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention.

[0044] Reference numerals: 200, electric rumen brush; 201, brush rod; 202, bristles; 202a, long bristles; 202b, short bristles; 203, vibration module; 204, packaging tube. DETAILED DESCRIPTION

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. 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 making creative efforts shall fall within the scope of protection of the present invention.

[0046] See also Figure 1 , is a flow chart of an intelligent control method for an electric cattle rumen brush provided by an embodiment of the present invention, Figure 1 The execution subject of the method shown may be a software and / or hardware device. The execution subject of the present application may include but is not limited to at least one of the following: user equipment, network equipment, etc. Among them, user equipment may include but is not limited to computers, smart phones, personal digital assistants (PDAs) and the electronic devices mentioned above. Network equipment may include but is not limited to a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of computers or network servers, wherein cloud computing is a type of distributed computing, a super virtual computer composed of a group of loosely coupled computers. This embodiment does not limit this. It includes steps S1 to S4, as follows:

[0047] S1, deploying an electric rumen brush at a target vibration position inside the cow's rumen, wherein the electric rumen brush is integrated with a pH sensor;

[0048] In practice, the electric rumen brush is an intelligent device used to optimize cattle digestion, primarily for use on livestock farms. Deployed into the rumen through the cow's oral opening, it features bristles of varying lengths and a vibration function. This device stimulates the rumen wall, promotes rumen epithelial health, and reduces acute and subacute rumen acidosis. It also accelerates chyme mixing and breakdown, improving feed digestion efficiency. The electric rumen brush has a built-in pH sensor for real-time monitoring of rumen fluid acidity. If the pH sensor detects an abnormal pH value, the vibration frequency can be adjusted wirelessly or via a pre-programmed program to ensure an optimal rumen environment. Combining biometrics, machine learning, and edge computing technologies, the electric rumen brush can be customized based on individual differences in each cow, reducing antibiotic use and lowering farming costs while improving herd health and productivity.

[0049] like Figure 2As shown, the electric cattle rumen brush 200 consists of the following core components: a brush rod 201, bristles 202, a vibration module 203, and a packaging tube 204. The brush rod 201 is made of alloy wire, with both ends bent into a circular blunt tip to avoid puncturing the rumen wall; the bristles 202 are divided into long bristles 202a and short bristles 202b. The long bristles 202a are 280 mm long and 3 mm in diameter, with a blunt tip diameter of 3 mm. They are low in hardness and can be bent and folded, so that they can be smoothly pushed into the ruminant's body to prevent them from escaping from the rumen. The short bristles 202b are 15 mm long and 1 mm in diameter. mm, its hardness is relatively high, which can directly stimulate the rumen wall and promote peristalsis and chyme mixing in the rumen. The bristles 202 are made of one of synthetic resin wire, PBT wire, nylon 610 wire, nylon 612 wire, polypropylene wire, abrasive nylon wire, pig bristles, and metal wires. They do not degrade in the rumen and are non-toxic and harmless to the cattle; the vibration module 203 has a built-in micro motor and battery to support the vibration function, and is integrated with a pH sensor for real-time monitoring of rumen fluid acidity. The battery here supports regular inspection and replacement operations; the packaging tube 204 is made of degradable materials such as plant fibers, which are coated on the outside of the brush body composed of the brush rod 201 and the bristles 202. Its radius is greater than the length of the short bristles 202b and less than the length of the long bristles 202a, and the long bristles 202a are rolled in the packaging tube 204 to facilitate softening and degradation after implantation into the rumen to release the brush body.

[0050] Understandably, the electric rumen brush can first be precisely positioned at the target vibration location inside the cow's rumen, ensuring it effectively stimulates the rumen wall and promotes digestion. Furthermore, the electric rumen brush is integrated with a high-precision pH sensor for real-time monitoring of changes in the pH of the rumen fluid.

[0051] S2, collecting historical bovine physiological data, building an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model;

[0052] It should be noted that the historical physiological data of the cattle herd includes age, weight, sex, and digestion efficiency records. Specifically, for age, by consulting the herd's birth records, the birth date of each cow can be determined and its current age calculated. For weight, each cow can be weighed regularly using a professional livestock scale. For sex, it can be determined through breeding records or on-site observations. As for the digestion efficiency of each cow, the digestion efficiency can be quantified by analyzing the proportion of undigested matter in the cow's feces and using laboratory testing methods. In addition, these historical physiological data can be classified and organized according to the individual number of each cow to facilitate subsequent correlation analysis.

[0053] Furthermore, an offset prediction model can be constructed based on historical physiological data, and the pH target offset can be determined for each cow to reflect its individual digestive needs.

[0054] S3, constructing a personalized activation threshold prediction model, and determining a pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model;

[0055] Among them, a personalized activation threshold prediction model can be constructed, and the pH personalized activation threshold of each cow can be dynamically calculated based on the pH target offset to ensure the accuracy and adaptability of the regulation strategy.

[0056] S4, obtaining the pH measurement value of the pH sensor, constructing a rumen brush vibration frequency adjustment model, and determining a target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely regulating the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

[0057] Finally, the pH sensor's measured value can be acquired in real time. Combined with the personalized pH activation threshold, the target rumen brush vibration frequency can be determined using the rumen brush vibration frequency adjustment model. Furthermore, the remote control system can be used to adjust the electric rumen brush's operating state in real time based on the target rumen brush vibration frequency, ensuring that the rumen fluid pH remains stable within the optimal range, thereby optimizing digestion efficiency and reducing the occurrence of rumen acidosis.

[0058] The electric rumen brush is deployed at a target vibration position inside the cow's rumen, and a pH sensor is integrated into the electric rumen brush, specifically comprising:

[0059] Determining the target vibration position by adjusting the specific gravity of the electric rumen brush inside the cow rumen;

[0060] deploying the electric rumen brush at the target vibration position through a cow mouth opener;

[0061] The electric rumen brush is integrated with the pH sensor, and the pH sensor is used to monitor the pH value of the rumen fluid inside the cow's rumen in real time. When it is monitored that the pH value of the rumen fluid meets the preset abnormal digestion condition, an abnormal digestion signal is sent to the external control system, and the control mechanism of the electric rumen brush is started through the external control system.

[0062] It's understood that by analyzing the composition and density of rumen fluid, the specific gravity of the electric rumen brush inside the cow's rumen can be finely adjusted. For example, by using materials of varying densities in the handle or head of the brush, or by adding small counterweights at specific locations, the brush can be stably suspended in the rumen fluid in the middle of the cow's rumen, the target vibration location. The adjusted electric rumen brush can then be safely and accurately placed in the target vibration location using a cow's mouth opener.

[0063] The wall of the container simulating the rumen fluid environment can be precisely marked according to the actual dimensions of the middle of the cow's rumen. Then, a rumen brush with a changed material or adjusted weight can be placed in the simulated fluid. Using a high-precision level gauge or a graduated measuring rod, the brush's suspension depth in the simulated fluid can be precisely measured to ensure that the center position of the brush is within a minimal error range from the marked target position in the middle of the cow's rumen. Finally, the brush can be allowed to remain stably suspended in the simulated fluid for a period of time, while its suspension position and state are continuously observed. If the brush remains stably suspended at the target position during this period, maintaining a normal posture without noticeable drift, tilting, or flipping, it indicates that the brush's specific gravity has been adjusted to the appropriate level, ensuring stable suspension in the middle of the cow's rumen.

[0064] It should be noted that the electric rumen brush has a built-in high-precision pH sensor that can continuously and in real time monitor changes in the pH of rumen fluid. Due to the accumulation of chyme in the rumen, the pH sensor is susceptible to contamination, and may even drift or fail, which may affect the accuracy of the data. Therefore, to improve the stability of the pH sensor and ensure the accuracy of the monitored rumen fluid pH value, the present invention uses a pH sensor with self-cleaning and self-calibration functions. This pH sensor can be rotated regularly to prevent chyme accumulation in the rumen.

[0065] Furthermore, the cow's movement and rumen peristalsis may cause the rumen brush to shift position, reducing its control effectiveness. To ensure the electric rumen brush is always in optimal working condition, a positioning sensor can be attached to monitor the position of the electric rumen brush in real time and automatically adjust it to its original position if the brush shifts.

[0066] When the pH sensor detects that the rumen fluid pH value deviates from the normal range, indicating that the preset abnormal digestive conditions are met, the sensor will quickly send an alarm signal to the external intelligent control system. Upon receiving the signal, the external control system immediately activates the control mechanism of the electric rumen brush and takes appropriate measures to adjust the rumen environment and ensure the cow's digestive health.

[0067] The collecting of historical bovine physiological data, building an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model specifically includes:

[0068] For the i-th cow, obtain the corresponding Q candidate pH offsets according to the historical cow physiological data;

[0069] The importance score of the j-th pH candidate offset for the i-th cow is calculated as follows:

[0070] Where, represents the importance score of the j-th pH candidate offset of the i-th cow; N represents the total number of trees in the random forest corresponding to the j-th pH candidate offset of the i-th cow; represents the baseline error of the mth tree in the random forest; represents the adjustment error of the mth tree in the random forest;

[0071] The predicted digestion efficiency of the i-th cow is calculated as follows:

[0072] Where, represents the predicted digestion efficiency of the i-th cow; represents the intercept term; 、 、 、 represents the regression coefficient; 、 、 Respectively represent the age, weight, and sex of the i-th cow; represents the jth candidate pH offset of the i-th cow; Q represents the total number of candidate pH offsets of the i-th cow; represents the random error term.

[0073] Based on the importance score and the predicted digestion efficiency, the sensitivity of the i-th cow to the j-th pH candidate offset is calculated as follows:

[0074] Where, represents the sensitivity of the i-th cow to the j-th pH candidate offset; represents the predicted digestion efficiency of the i-th cow; represents the importance score of the j-th pH candidate offset of the i-th cow;

[0075] For the i-th cow, the candidate pH offset corresponding to the maximum sensitivity is the target pH offset.

[0076] In practical applications, for the i-th cow, we first observe and collect historical physiological data on its feeding, digestion, and excretion processes. This data then allows us to obtain Q candidate pH offsets. We then calculate the importance score for each candidate offset and use a linear regression model to predict the digestive efficiency of the i-th cow.

[0077] Based on the importance score and predicted digestion efficiency, the sensitivity of the i-th cow to each pH candidate offset can be further calculated, and the pH candidate offset with the highest sensitivity can be used as the pH target offset.

[0078] The step of constructing a personalized activation threshold prediction model and determining the pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model specifically includes:

[0079] The normal pH range of the i-th cow is obtained. Based on the personalized activation threshold prediction model, the personalized pH activation threshold is calculated according to the normal pH range and the pH target offset. The corresponding calculation formula is as follows:

[0080] Where, represents the pH personalized activation threshold of the i-th cow; Indicates the weight parameter corresponding to the normal pH range; represents the normal pH range of the i-th cow; Represents the weight parameter corresponding to the pH target offset; represents the pH target offset of the i-th cow.

[0081] Specifically, the normal pH range data for the i-th cow can be collected. Then, a personalized activation threshold prediction model can be applied, using the normal pH range data and the preset pH target offset as model inputs to determine the personalized pH activation threshold. This allows for accurate and personalized pH activation threshold settings for each cow.

[0082] It's important to note that the normal pH range for each cow can be determined by statistically analyzing a large amount of historical data. This data is derived from long-term pH monitoring of cattle in normal physiological conditions. For example, rumen pH data for each cow can be collected over different time periods, and statistical methods can be used to determine the normal range. This accurately reflects the individual physiological characteristics and rumen environment of each cow. Furthermore, because the physiological state and breeding environment of cattle are constantly changing, the normal pH range can be dynamically updated based on the cow's recent health status, dietary changes, and fluctuations in production performance.

[0083] also, and The weight parameters are respectively expressed as follows: and , can balance the effects of the pH normal range and pH target offset on the pH personalized activation threshold. For example, if there are large individual differences among cattle, and their pH normal range plays a key role in determining the pH personalized activation threshold, then the weight parameter corresponding to the pH normal range can be appropriately increased. However, if the aquaculture goal has a greater demand for pH adjustment, then the pH target offset has a more significant impact on the pH personalized activation threshold, and the weight parameter corresponding to the pH target offset can be increased accordingly. .

[0084] The target rumen brush vibration frequency is determined based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value. The corresponding calculation formula is as follows:

[0085] Where, represents the target rumen brush vibration frequency of the i-th cow at time t; represents the initial rumen brush vibration frequency of the i-th cow at time t; represents the deviation adjustment coefficient; represents the pH measurement value of the i-th cow at time t; represents the pH personalized activation threshold of the i-th cow; u represents the deviation correction coefficient.

[0086] In practical applications, the target rumen brush vibration frequency can be calculated based on the rumen brush vibration frequency adjustment model. The operating state of the electric rumen brush can then be remotely controlled through an external control system to achieve personalized rumen health management.

[0087] In addition, an online learning mechanism can be introduced to dynamically update the rumen brush vibration frequency adjustment model so that it can respond to changes in the physiological state of cows in a timely manner, thereby reducing data deviation and improving the accuracy of the rumen brush vibration frequency adjustment model.

[0088] It should be noted that remote control operations rely on wireless communication technology. Due to the complex farm environment where cattle are located, interference and multipath effects may exist. These problems can cause communication interruptions or delays, thereby affecting remote control operations. Therefore, the present invention adopts a communication protocol with strong anti-interference capabilities and provides a multipath backup mechanism to ensure the stability and reliability of data transmission during communication.

[0089] Furthermore, the cow's movement and rumen peristalsis may cause the electric rumen brush to shift position, thereby reducing the effectiveness of regulating the brush's operating status. To ensure that the electric rumen brush is always in optimal working condition, the present invention also includes an additional positioning sensor. This positioning sensor can monitor the position of the electric rumen brush in real time and automatically adjust it to its original position if the electric rumen brush shifts.

[0090] In practical applications, since the rumen pH value of cattle may be closely related to feed formula, feed pH buffering capacity, feeding management, cattle water intake, cattle health status and feeding environment temperature, a real-time feeding management model can be established, with the rumen pH value of cattle as the dependent variable of the model, and feed formula, feed pH buffering capacity, feeding management, cattle water intake, cattle health status and feeding environment temperature can be used as the independent variables of the model to analyze the impact of each variable on the rumen pH value of cattle.

[0091] Specifically, the real-time feeding management model can be used to predict the impact of different feed formulas on rumen pH, and feed ratios can be adjusted accordingly. For example, if a high-concentrate feed formula is predicted to cause the rumen pH to be too low, roughage or raw materials containing buffer substances can be added to prevent rumen acidosis. Furthermore, the model can be used to predict the impact of different feeding management situations on rumen pH based on feeding management conditions, namely feeding amount, feeding time, and feeding frequency, and to formulate scientific feeding plans accordingly. For example, if it is found that the rumen pH of cattle tends to drop at night, the nighttime feeding amount or time can be adjusted to maintain the health of the cattle's rumen.

[0092] An intelligent control method for an electric cattle rumen brush, further comprising:

[0093] Deploy a lightweight edge computing node in a cattle pen gateway device, and load a preset response algorithm and a historical cattle health database into the lightweight edge computing node;

[0094] When the main control system fails, the lightweight edge computing node obtains the pH measurement value of the pH sensor in real time and continues to execute the operating instructions of the electric rumen brush through the local processing mechanism until the main control system returns to normal.

[0095] Lightweight edge computing nodes can be deployed within key gateway devices in the cattle pen. These nodes integrate efficient computing power and resource management capabilities to adapt to the unique hardware requirements of the cattle pen environment. Furthermore, these edge computing nodes are pre-loaded with response algorithms and a historical cattle health database to ensure immediate data processing and accurate decision-making.

[0096] When the main control system encounters a sudden failure and is unable to continue to perform control tasks, the lightweight edge computing node can respond quickly, collect accurate measurement values from the pH sensor in real time, and rely on its built-in local processing mechanism to continue executing the operating instructions of the electric rumen brush, ensuring the continuity and effectiveness of cattle rumen health management until the main control system fully recovers to normal operation.

[0097] See also Figure 3 , is a structural diagram of an intelligent control system for an electric cattle rumen brush provided by an embodiment of the present invention, the control system comprising:

[0098] A rumen brush deployment module, configured to deploy an electric rumen brush at a target vibration position inside the cow's rumen, wherein the electric rumen brush is integrated with a pH sensor;

[0099] an offset prediction module for collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model;

[0100] an activation threshold prediction module, configured to construct a personalized activation threshold prediction model, and determine a pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model;

[0101] A vibration frequency control module is used to obtain the pH measurement value of the pH sensor, construct a rumen brush vibration frequency adjustment model, and determine a target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely control the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

[0102] The system of the present invention is equipped with an intuitive user interaction interface, which can display the health status of the cattle herd and the remote control effect of the rumen brush in real time, making it convenient for farm managers to monitor the breeding status of the cattle herd.

[0103] The system of the present invention adopts a distributed control architecture, that is, a main control system and a backup system are set up at the same time. When the main control system fails, it automatically switches to the backup system, thereby ensuring the continuous operation of the system.

[0104] In addition, the system of the present invention is also provided with edge computing nodes, which can improve the system response speed and ensure the continuous execution of remote control operations.

[0105] Figure 3 The apparatus of the embodiment shown can be used to perform Figure 1 The implementation principles and technical effects of the steps in the method embodiment shown are similar and will not be repeated here.

[0106] See also Figure 4 , is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention, wherein the electronic device 40 includes: a processor 41, a memory 42 and a computer program;

[0107] The memory 42 is used to store the computer program, which may also be a flash memory. The computer program is, for example, an application program or a functional module for implementing the above method.

[0108] The processor 41 is configured to execute the computer program stored in the memory to implement the various steps performed by the device in the above method. For details, please refer to the relevant description in the above method embodiment.

[0109] Optionally, the memory 42 may be independent or integrated with the processor 41 .

[0110] When the memory 42 is a device independent of the processor 41, the device may further include:

[0111] The bus 43 is used to connect the memory 42 and the processor 41 .

[0112] The present invention also provides a readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided in the various embodiments described above.

[0113] The readable storage medium may be a computer storage medium or a communication medium. Communication media include any medium that facilitates the transfer of computer programs from one location to another. Computer storage media may be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, a readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may be located in an application-specific integrated circuit (ASIC). In addition, the ASIC may be located in a user device. Of course, the processor and the readable storage medium may also exist as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0114] The present invention also provides a program product, which includes execution instructions stored in a readable storage medium. At least one processor of a device can read the execution instructions from the readable storage medium, and at least one processor executes the execution instructions so that the device implements the methods provided in the various embodiments described above.

[0115] In the embodiments of the above-mentioned devices, it should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), etc. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the present invention may be directly executed by a hardware processor or by a combination of hardware and software modules within the processor.

[0116] Through the introduction of the above embodiments, the present invention adopts an intelligent control method and system for an electric cattle rumen brush, which deploys an electric rumen brush at a target vibration position inside the cattle rumen, and integrates a pH sensor in the electric rumen brush; collects historical cattle physiological data, constructs an offset prediction model, and determines the pH target offset according to the historical cattle physiological data based on the offset prediction model; constructs a personalized activation threshold prediction model, and determines the pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model; obtains the pH measurement value of the pH sensor, constructs a rumen brush vibration frequency adjustment model, and determines the target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely controls the operation state of the electric rumen brush based on the target rumen brush vibration frequency, thereby accurately improving the digestion and absorption rate of the cattle herd, reducing the incidence of diseases in the cattle herd's digestive system, reducing the frequency of antibiotic use, and improving the operating efficiency and economic benefits of the ranch.

[0117] Through its non-invasive design and intelligent control mechanism, this invention significantly improves cattle digestion and absorption rates, reduces the incidence of digestive system diseases, and enhances beef production and quality. Furthermore, it reduces the need for antibiotic use, lowering treatment costs and potential health risks for cattle. Furthermore, the introduction of edge computing technology enhances the robustness and responsiveness of the system, ensuring the quality of cattle digestion assistance services under remote supervision, and improving the operational efficiency and economic benefits of the entire ranch.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control method for an electric rumen brush, characterized in that: The control method comprises: Deploying an electric rumen brush at a target vibration position inside the cow's rumen, wherein the electric rumen brush is integrated with a pH sensor; Collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model; Constructing a personalized activation threshold prediction model, and determining a pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model; obtaining a pH measurement value of the pH sensor, constructing a rumen brush vibration frequency adjustment model, determining a target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely regulating the operating state of the electric rumen brush based on the target rumen brush vibration frequency; The collecting of historical bovine physiological data, building an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model specifically includes: For the i-th cow, obtain the corresponding Q candidate pH offsets according to the historical cow physiological data; The importance score of the j-th pH candidate offset for the i-th cow is calculated as follows: Where, I(F i,j ) represents the importance score of the j-th pH candidate offset of the i-th cow; N represents the total number of trees in the random forest corresponding to the j-th pH candidate offset of the i-th cow; E m represents the baseline error of the mth tree in the random forest; E ' m represents the adjustment error of the mth tree in the random forest; The predicted digestion efficiency of the i-th cow is calculated as follows: Where, represents the predicted digestion efficiency of the i-th cow; β0 represents the intercept term; β1, β2, β j represents the regression coefficient; A i 、W i 、S i Respectively represent the age, weight, and sex of the i-th cow; F i,j represents the jth candidate pH offset of the i-th cow; Q represents the total number of candidate pH offsets of the i-th cow; ∈ represents the random error term; Based on the importance score and the predicted digestion efficiency, the sensitivity of the i-th cow to the j-th pH candidate offset is calculated as follows: In the formula, Sen i,j represents the sensitivity of the i-th cow to the j-th pH candidate offset; represents the predicted digestion efficiency of the i-th cow; I(F i,j ) represents the importance score of the j-th pH candidate offset of the i-th cow; For the i-th cow, the candidate pH offset corresponding to the maximum sensitivity is the target pH offset.

2. The intelligent control method of an electric rumen brush according to claim 1, characterized in that: The electric rumen brush is deployed at a target vibration position inside the cow's rumen, and a pH sensor is integrated into the electric rumen brush, specifically comprising: Determining the target vibration position by adjusting the specific gravity of the electric rumen brush inside the cow rumen; deploying the electric rumen brush at the target vibration position through a cow mouth opener; The electric rumen brush is integrated with the pH sensor, and the pH sensor is used to monitor the pH value of the rumen fluid inside the cow's rumen in real time. When it is monitored that the pH value of the rumen fluid meets the preset abnormal digestion condition, an abnormal digestion signal is sent to the external control system, and the control mechanism of the electric rumen brush is started through the external control system.

3. The intelligent control method of an electric rumen brush according to claim 1, characterized in that: The step of constructing a personalized activation threshold prediction model and determining the pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model specifically includes: The normal pH range of the i-th cow is obtained. Based on the personalized activation threshold prediction model, the personalized pH activation threshold is calculated according to the normal pH range and the pH target offset. The corresponding calculation formula is as follows: T i =α*FW i +θ*PYL i α+θ=1 Where, T i represents the pH personalized activation threshold of the i-th cow; α represents the weight parameter corresponding to the normal pH range; FW i represents the normal pH range of the i-th cow; θ represents the weight parameter corresponding to the pH target offset; PYL i represents the pH target offset of the i-th cow.

4. The intelligent control method of an electric rumen brush according to claim 1, characterized in that: The target rumen brush vibration frequency is determined based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value. The corresponding calculation formula is as follows: G i (t)=g i (t)+τ*(CL i (t)-T i )+u Where G i (t) represents the target rumen brush vibration frequency of the i-th cow at time t; g i (t) represents the initial rumen brush vibration frequency of the i-th cow at time t; τ represents the deviation adjustment coefficient; CL i (t) represents the pH value of the i-th cow at time t; T i represents the pH personalized activation threshold of the i-th cow; u represents the deviation correction coefficient.

5. The intelligent control method of an electric rumen brush according to claim 1, characterized in that: Also includes: Deploy a lightweight edge computing node in a cattle pen gateway device, and load a preset response algorithm and a historical cattle health database into the lightweight edge computing node; When the main control system fails, the lightweight edge computing node obtains the pH measurement value of the pH sensor in real time and continues to execute the operating instructions of the electric rumen brush through the local processing mechanism until the main control system returns to normal.

6. An intelligent control system for an electric rumen brush, applied to an intelligent control method for an electric rumen brush according to any one of claims 1 to 5, characterized in that: The control system comprises: A rumen brush deployment module, configured to deploy an electric rumen brush at a target vibration position inside the cow's rumen, wherein the electric rumen brush is integrated with a pH sensor; an offset prediction module for collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset based on the historical bovine physiological data based on the offset prediction model; an activation threshold prediction module, configured to construct a personalized activation threshold prediction model, and determine a pH personalized activation threshold according to the pH target offset based on the personalized activation threshold prediction model; A vibration frequency control module is used to obtain the pH measurement value of the pH sensor, construct a rumen brush vibration frequency adjustment model, and determine a target rumen brush vibration frequency based on the rumen brush vibration frequency adjustment model according to the pH personalized activation threshold and the pH measurement value, and remotely control the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

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