Intelligent regulation and control method and system for electric cattle rumen brush

Abstract

The invention provides an intelligent regulation and control method and system for an electric cattle rumen brush, and relates to the technical field of agricultural cultivation, and the method comprises the steps: deploying the electric rumen brush at a target vibration position in a cattle rumen, and integrating a pH sensor in the electric rumen brush; the method comprises the following steps: collecting historical bovine 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 according to the pH target offset; the method comprises the following steps: acquiring a pH measurement value of a pH sensor, constructing a rumen brush vibration frequency adjustment model, determining a target rumen brush vibration frequency according to a pH personalized activation threshold value and the pH measurement value, and performing remote regulation and control on an operation state of an electric rumen brush based on the target rumen brush vibration frequency, so that the digestibility of cattle can be accurately improved; the disease incidence rate of cattle is reduced, the use frequency of antibiotics is reduced, and the operation efficiency and economic benefits of a pasture are improved.

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 of 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 control methods alleviate cattle digestion problems by improving feed formula, adding feed additives and using antibiotics. However, these methods are costly and long-term use of antibiotics may lead to drug resistance. Existing technologies lack effective non-invasive means to directly intervene and optimize the digestion process inside the rumen, which makes 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 of 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 the digestion efficiency.

[0006] The present invention provides an intelligent control method for an electric cattle rumen brush, the control method comprising: An electric rumen brush is deployed at a target vibration position inside the cow's rumen, and a pH sensor is integrated in the electric rumen brush; Collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset according to 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; The pH measurement value of the pH sensor is obtained, a rumen brush vibration frequency adjustment model is constructed, and based on the rumen brush vibration frequency adjustment model, a target rumen brush vibration frequency is determined 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.

[0007] Preferably, the electric rumen brush is deployed at a target vibration position inside the cow's rumen, and a pH sensor is integrated in 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 pH sensor is integrated in the electric rumen brush, 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.

[0008] Preferably, the collecting of historical bovine physiological data, constructing an offset prediction model, and determining the pH target offset according to 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: In the formula, 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; The predicted digestion efficiency of the i-th cow is calculated as follows: In the formula, 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.

[0009] 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: In the formula, It indicates 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; For the i-th cow, the candidate pH offset corresponding to the maximum sensitivity is the target pH offset.

[0010] 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: The normal pH range of the i-th cow is obtained, and based on the personalized activation threshold prediction model, the pH personalized activation threshold is calculated according to the normal pH range and the pH target offset. The corresponding calculation formula is as follows: In the formula, 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.

[0011] 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: In the formula, 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.

[0012] Preferably, an intelligent control method for an electric cattle rumen brush further 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 in 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 operation instructions of the electric rumen brush through the local processing mechanism until the main control system returns to normal.

[0013] An intelligent control system for an electric cattle rumen brush, the control system comprising: A rumen brush deployment module, used to deploy an electric rumen brush at a target vibration position inside the rumen of a cow, wherein the electric rumen brush is integrated with a pH sensor; An offset prediction module, used to collect historical cattle physiological data, construct an offset prediction model, and determine a pH target offset according to the historical cattle physiological data based on the offset prediction model; An activation threshold prediction module, used to construct a personalized activation threshold prediction model, and determine the 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, build a rumen brush vibration frequency adjustment model, and determine 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 control the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

[0014] Compared with the related art, the intelligent control method and system of an electric cattle rumen brush provided by the present invention has the following beneficial effects: 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; historical cow physiological data is collected, an offset prediction model is constructed, and a pH target offset is determined according to the historical cow physiological data based on the offset prediction model; a personalized activation threshold prediction model is constructed, and a pH personalized activation threshold is determined according to the pH target offset based on the personalized activation threshold prediction model; 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 according to the pH personalized activation threshold and the pH measurement value based on the rumen brush vibration frequency adjustment model, and the operation state of the electric rumen brush is remotely controlled 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 use of antibiotics, and improving the operating efficiency and economic benefits of the ranch.

[0015] The present invention can significantly improve the digestion and absorption rate of cattle, reduce the incidence of digestive system diseases, and improve beef production and quality through non-invasive design and intelligent control mechanism. At the same time, the present invention can reduce the necessity of antibiotic use, reduce the treatment cost and potential health risks of cattle. In addition, the introduction of edge computing technology can enhance the robustness and responsiveness of the system of the present invention, ensure the quality of cattle stomach digestion auxiliary services under remote supervision, and improve the operational efficiency and economic benefits of the entire ranch. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of a flow chart of an intelligent control method for an electric cattle rumen brush provided in an embodiment of the present invention; Figure 2 A schematic diagram of the structure of an electric rumen brush provided in an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an intelligent control system for an electric cattle rumen brush provided by an embodiment of the present invention; Figure 4 A schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention.

[0017] Figure numerals: 200, electric cow rumen brush; 201, brush rod; 202, bristles; 202a, long bristles; 202b, short bristles; 203, vibration module; 204, packaging tube. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the 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 creative work are within the scope of protection of the present invention.

[0019] See also Figure 1 , is a flow chart of an intelligent control method of 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 (PDA) 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: S1, deploying an electric rumen brush at a target vibration position inside the cow rumen, wherein the electric rumen brush is integrated with a pH sensor; In practical applications, the electric rumen brush is an intelligent device used to optimize the digestive function of cattle, and is mainly used in livestock cattle farms. It is deployed into the rumen through the cow's oral opening device, and is equipped with brushes of different lengths and vibration functions. It can stimulate the rumen wall, promote the health of the rumen epithelium, reduce the occurrence of acute and subacute rumen acidosis, and accelerate the mixing and decomposition of chyme to improve feed digestion efficiency. The electric rumen brush has a built-in pH sensor for real-time monitoring of rumen fluid acidity. When the pH sensor detects an abnormal pH value, the vibration frequency can be adjusted through wireless remote control or preset program to ensure that the rumen environment is in the best state. The electric rumen brush combines biometrics, machine learning, and edge computing technologies, and can be personalized according to the individual differences of each cow, reducing the use of antibiotics, reducing breeding costs, and improving cattle health and production efficiency.

[0020] like Figure 2 As shown, the electric cattle rumen brush 200 is composed 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, and its two ends are bent into a circular blunt head to avoid stabbing 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. The blunt head has a diameter of 3 mm. It has low hardness and can be bent and folded, so that it can be smoothly pushed into the ruminant body to prevent it from escaping from the rumen. The short bristles 202b are 15 mm long and 1 mm in diameter. mm, which has a high hardness and can directly stimulate the rumen wall to 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, bristle, and metal wire. They are not degraded 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. 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.

[0021] It is understandable that the electric rumen brush can first be precisely deployed at the target vibration position inside the cow's rumen to ensure that it can effectively stimulate the rumen wall and promote digestion. In addition, the electric rumen brush is integrated with a high-precision pH sensor to monitor the pH changes of the rumen fluid in real time.

[0022] S2, collecting historical cattle physiological data, building an offset prediction model, and determining a pH target offset according to the historical cattle physiological data based on the offset prediction model; It should be noted that the historical physiological data of the cattle herd includes age, weight, gender and digestion efficiency records. Specifically, for age, by consulting the birth archive records of the cattle herd, the date of birth of each cow can be determined and its current age can be calculated. For weight, each cow can be weighed regularly using a professional livestock scale. For gender, it can be determined through breeding records or on-site observations. For the digestion efficiency of each cow, the digestion efficiency can be quantified by analyzing the proportion of undigested substances in the cow feces and using laboratory testing methods. In addition, these historical physiological data can be classified and sorted according to the individual number of each cow to facilitate subsequent correlation analysis.

[0023] 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.

[0024] 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; Among them, a personalized activation threshold prediction model can be constructed, and based on the pH target offset, the personalized pH activation threshold of each cow can be dynamically calculated to ensure the accuracy and adaptability of the regulation strategy.

[0025] S4, obtaining the pH measurement value of the pH sensor, constructing a rumen brush vibration frequency adjustment model, and determining 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 regulating the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

[0026] Finally, the measured value of the pH sensor can be obtained in real time, and combined with the personalized pH activation threshold, the target rumen brush vibration frequency can be determined through the rumen brush vibration frequency adjustment model. And through the remote control system, the operation state of the electric rumen brush can be adjusted in real time based on the target rumen brush vibration frequency to ensure that the pH value of the rumen fluid is stable within the optimal range, thereby optimizing digestion efficiency and reducing the occurrence of rumen acidosis.

[0027] The electric rumen brush is deployed at the target vibration position inside the cow rumen, and a pH sensor is integrated in 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 pH sensor is integrated in the electric rumen brush, 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.

[0028] It is understood that by analyzing the composition and density of the rumen fluid, the specific gravity of the electric rumen brush inside the cow's rumen can be finely adjusted. For example, different density materials are used in the handle or brush head of the rumen brush, or a small mass counterweight is added at a specific position, so as to ensure that the rumen brush is stably suspended in the rumen fluid in the middle of the cow's rumen, that is, the target vibration position. Then, the adjusted electric rumen brush can be safely and accurately placed in the target vibration position using a cow mouth opener.

[0029] Among them, on the wall of the container simulating the rumen fluid environment, it is possible to accurately mark according to the actual size of the middle of the cow's rumen. Then, the rumen brush with changed material or adjusted weight can be placed in the simulated liquid, and a high-precision liquid level meter or a measuring rod with a scale can be used to accurately measure the suspension depth of the rumen brush in the simulated liquid to ensure that the error between the center position of the rumen brush and the marked target position in the middle of the cow's rumen is within a very small range. Finally, the rumen brush can be allowed to stably suspend in the simulated liquid for a period of time, and its suspension position and state can be continuously observed during this period. If the rumen brush is always stably suspended at the target position during this period, and the posture is normal, without obvious drift, tilt or flipping, it means that the specific gravity of the rumen brush has been adjusted to a suitable state, and it can meet the requirements of stable suspension in the middle of the cow's rumen.

[0030] It should be noted that the electric rumen brush is equipped with a high-precision pH sensor, which can continuously and in real time monitor the pH changes of rumen fluid. Due to the deposition of chyme in the rumen, the pH sensor is easily contaminated, and even drifts or fails, which may affect the accuracy of the data. Therefore, in order 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, which can be rotated regularly to prevent chyme deposition in the rumen.

[0031] In addition, the movement of the cow and the peristalsis of the rumen may cause the position of the rumen brush to deviate, thereby reducing the control effect of the rumen brush. To ensure that the electric rumen brush is always in the best 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 the original position when the position of the rumen brush deviates.

[0032] When the pH sensor detects that the pH value of rumen fluid deviates from the normal range, that is, when the preset abnormal digestion conditions are met, the sensor will quickly send an alarm signal to the external intelligent control system. After receiving the signal, the external control system immediately activates the control mechanism of the electric rumen brush and takes corresponding measures to adjust the rumen environment and ensure the digestive health of the cattle.

[0033] The collecting of historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset according to 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: In the formula, 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; The predicted digestion efficiency of the i-th cow is calculated as follows: In the formula, 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.

[0034] 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, It indicates 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; For the i-th cow, the candidate pH offset corresponding to the maximum sensitivity is the target pH offset.

[0035] In practical applications, for the i-th cow, we can first observe its feeding, digestion and excretion processes and collect data to obtain historical cow physiological data, and then obtain its corresponding Q pH candidate offsets. Then, we can calculate the importance score of each candidate offset, and use the linear regression model to predict the digestion efficiency of the i-th cow.

[0036] 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 then the pH candidate offset with the highest sensitivity can be used as the pH target offset.

[0037] 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, and based on the personalized activation threshold prediction model, the pH personalized activation threshold is calculated according to the normal pH range and the pH target offset. The corresponding calculation formula is as follows: In the formula, 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.

[0038] Specifically, the normal pH range data of the i-th cow can be collected first. Then, the personalized activation threshold prediction model can be used to determine the personalized pH activation threshold by taking the normal pH range data and the preset pH target offset as model input, so that the pH activation threshold can be accurately and personalized for each cow.

[0039] It should be noted that the normal pH range for each cow can be obtained by statistically analyzing a large amount of historical data, which comes from long-term pH monitoring data of cattle in normal physiological conditions. For example, the rumen pH data of each cow in different time periods can be collected, and its normal range can be determined by statistical methods, so as to accurately reflect the physiological characteristics and rumen environment characteristics of each cow. At the same time, since the physiological state and breeding environment of cattle are constantly changing, the normal pH range can be dynamically updated according to the recent health status of the cattle, changes in diet, and fluctuations in production performance.

[0040] also, and The weight parameters are respectively expressed as follows: and , can balance the impact of the normal pH range and the pH target offset on the personalized pH activation threshold. For example, if there are large individual differences among cattle, and their normal pH range plays a key role in determining the personalized pH activation threshold, then the weight parameter corresponding to the normal pH range can be appropriately increased. However, if the aquaculture goal has a greater demand for pH adjustment, 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. .

[0041] 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: In the formula, 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.

[0042] In practical applications, the vibration frequency of the target rumen brush can be calculated based on the rumen brush vibration frequency adjustment model. Then, the operation state of the electric rumen brush can be remotely controlled through an external control system to achieve personalized rumen health management.

[0043] 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 cattle in a timely manner, thereby reducing data deviation and improving the accuracy of the rumen brush vibration frequency adjustment model.

[0044] It should be noted that the remote control operation relies on wireless communication technology. Since the farm environment where the cattle are located is relatively complex, there may be interference, multipath effects and other problems, which may cause communication interruption or delay, thereby affecting the remote control operation. Therefore, the present invention adopts a communication protocol with strong anti-interference ability and is provided with a multipath backup mechanism to ensure the stability and reliability of data transmission during the communication process.

[0045] Furthermore, the movement of the cow and the peristalsis of the rumen may cause the electric rumen brush to deviate from its position, thereby reducing the control effect of the operating state of the rumen brush. In order to ensure that the electric rumen brush is always in the best working state, the present invention will also add a positioning sensor, which can monitor the position of the electric rumen brush in real time and automatically adjust it to its original position when the position of the electric rumen brush deviates.

[0046] 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, and the rumen pH value of cattle can be used as the dependent variable of the model, while 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 influence of each variable on the rumen pH value of cattle.

[0047] Specifically, based on the real-time feeding management model, the effects of different feed formulas on the pH value of the cattle rumen can be predicted, and the feed ratio can be adjusted in real time accordingly. For example, when it is predicted that the high-concentrate formula will make the pH value of the cattle rumen too low, roughage or raw materials containing buffer substances can be added to prevent the occurrence of rumen acidosis. In addition, based on the model, the effects of different feeding management conditions on the pH value of the cattle rumen can be predicted according to the feeding management conditions, that is, the feeding amount, feeding time and feeding frequency, and a scientific feeding plan can be formulated accordingly. For example, when it is found that the pH value of the cattle rumen tends to drop at night, the feeding amount or time at night can be adjusted to maintain the health of the cattle rumen.

[0048] An intelligent control method for an electric cattle rumen brush, further comprising: Deploy a lightweight edge computing node in a cattle pen gateway device, and load a preset response algorithm and a historical cattle health database in 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 operation instructions of the electric rumen brush through the local processing mechanism until the main control system returns to normal.

[0049] In the key gateway device of the cattle pen, a lightweight edge computing node can be deployed. This node integrates efficient computing power and resource management capabilities, and can adapt to the special hardware requirements of the cattle pen environment. At the same time, this edge computing node is pre-loaded with a response algorithm and a historical cattle health database to ensure the real-time processing of data and the accuracy of decision-making.

[0050] When the main control system encounters a sudden failure and cannot 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 to execute the operating instructions of the electric rumen brush, ensuring the continuity and effectiveness of cattle rumen health management until the main control system fully resumes normal operation.

[0051] See also Figure 3 , is a structural schematic diagram of an electric cattle rumen brush intelligent control system provided by an embodiment of the present invention, the control system comprising: A rumen brush deployment module, used to deploy an electric rumen brush at a target vibration position inside the rumen of a cow, wherein the electric rumen brush is integrated with a pH sensor; An offset prediction module, used to collect historical cattle physiological data, construct an offset prediction model, and determine a pH target offset according to the historical cattle physiological data based on the offset prediction model; An activation threshold prediction module, used to construct a personalized activation threshold prediction model, and determine the 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, build a rumen brush vibration frequency adjustment model, and determine 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 control the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

[0052] The system of the present invention is equipped with an intuitive user interaction interface, which can display the health status of the cattle 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.

[0053] 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.

[0054] In addition, the system of the present invention is also provided with edge computing nodes, so as to improve the system response speed and ensure the continuous execution of remote control operations.

[0055] 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.

[0056] See also Figure 4, is a schematic diagram of the hardware structure of an electronic device provided by an embodiment of the present invention, the electronic device 40 includes: a processor 41, a memory 42 and a computer program; wherein The memory 42 is used to store the computer program, and the memory may also be a flash memory. The computer program is, for example, an application program, a functional module, etc. for implementing the above method.

[0057] The processor 41 is used to execute the computer program stored in the memory to implement each step performed by the device in the above method. For details, please refer to the relevant description in the above method embodiment.

[0058] Optionally, the memory 42 may be independent or integrated with the processor 41 .

[0059] When the memory 42 is a device independent of the processor 41, the device may further include: The bus 43 is used to connect the memory 42 and the processor 41 .

[0060] 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 by the various embodiments described above.

[0061] Among them, the readable storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium can 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 so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the readable storage medium can also exist in a communication device as discrete components. The readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0062] The present invention also provides a program product, which includes an execution instruction, which is stored in a readable storage medium. At least one processor of a device can read the execution instruction from the readable storage medium, and at least one processor executes the execution instruction so that the device implements the methods provided in the above various embodiments.

[0063] In the embodiments of the above-mentioned devices, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), 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 implemented as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor.

[0064] Through the introduction of the above embodiments, the present invention adopts an intelligent control method and system for an electric cattle rumen brush, by deploying an electric rumen brush at a target vibration position inside the cattle rumen, and integrating a pH sensor in the electric rumen brush; collecting historical cattle physiological data, constructing an offset prediction model, and determining the pH target offset according to the historical cattle physiological data based on the offset prediction model; 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; obtaining the pH measurement value of the pH sensor, constructing a rumen brush vibration frequency adjustment model, and determining 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 controlling 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.

[0065] The present invention can significantly improve the digestion and absorption rate of cattle, reduce the incidence of digestive system diseases, and improve beef production and quality through non-invasive design and intelligent control mechanism. At the same time, the present invention can reduce the necessity of antibiotic use, reduce the treatment cost and potential health risks of cattle. In addition, the introduction of edge computing technology can enhance the robustness and responsiveness of the system of the present invention, ensure the quality of cattle stomach digestion auxiliary services under remote supervision, and improve the operational efficiency and economic benefits of the entire ranch.

[0066] 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned 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 cattle rumen brush, characterized in that: The control method comprises: An electric rumen brush is deployed at a target vibration position inside the cow's rumen, and a pH sensor is integrated in the electric rumen brush; Collecting historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset according to 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; The pH measurement value of the pH sensor is obtained, a rumen brush vibration frequency adjustment model is constructed, and based on the rumen brush vibration frequency adjustment model, a target rumen brush vibration frequency is determined 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.

2. The intelligent control method of an electric cattle rumen brush according to claim 1, characterized in that: The electric rumen brush is deployed at the target vibration position inside the cow's rumen, and a pH sensor is integrated in 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 pH sensor is integrated in the electric rumen brush, 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 cattle rumen brush according to claim 1, characterized in that: The collecting of historical bovine physiological data, constructing an offset prediction model, and determining a pH target offset according to 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: In the formula, 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; The predicted digestion efficiency of the i-th cow is calculated as follows: In the formula, 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.

4. The intelligent control method of an electric cattle rumen brush according to claim 3, characterized in that: 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, It indicates 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; For the i-th cow, the candidate pH offset corresponding to the maximum sensitivity is the target pH offset.

5. The intelligent control method of an electric cattle 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, and based on the personalized activation threshold prediction model, the pH personalized activation threshold is calculated according to the normal pH range and the pH target offset. The corresponding calculation formula is as follows: In the formula, 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.

6. The intelligent control method of an electric cattle 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, and the corresponding calculation formula is as follows: In the formula, 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.

7. The intelligent control method of an electric cattle 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 in 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 operation instructions of the electric rumen brush through the local processing mechanism until the main control system returns to normal.

8. An intelligent control system for an electric cattle rumen brush, applied to an intelligent control method for an electric cattle rumen brush as claimed in any one of claims 1 to 7, characterized in that: The control system comprises: A rumen brush deployment module, used to deploy an electric rumen brush at a target vibration position inside the rumen of a cow, wherein the electric rumen brush is integrated with a pH sensor; An offset prediction module, used to collect historical cattle physiological data, construct an offset prediction model, and determine a pH target offset according to the historical cattle physiological data based on the offset prediction model; An activation threshold prediction module, used to construct a personalized activation threshold prediction model, and determine the 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, build a rumen brush vibration frequency adjustment model, and determine 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 control the operating state of the electric rumen brush based on the target rumen brush vibration frequency.

Images