Calf accurate feeding whole-process intelligent management system

Abstract

The invention discloses a whole-process intelligent management system for accurate feeding of calves, and belongs to the technical field of calf feeding. A whole-process intelligent management system for accurate feeding of calves comprises a moving trolley, a material mixing assembly is installed on the upper surface of the moving trolley, a spiral feeder is arranged at the discharging end of the material mixing assembly, a control host is installed on the right side of the moving trolley, and a control management system is arranged in the control host. A mechanical arm is installed on the top of the control host, and a scanner is installed on the mechanical arm. The method solves the problems that in the prior art, the feeding amount needed by the calves cannot be determined according to the health state and physical consumption of the calves, and balance and precision of nutrient intake of the calves cannot be guaranteed, and the standard feeding amount needed by the calves can be calculated according to the health state and physical consumption of the calves; the accuracy of feeding amount calculation is guaranteed, the feeding amount of the calves can be accurately controlled, and balance and precision of nutrition intake of the calves are guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of calf feeding, and in particular to an intelligent management system for the entire process of precise calf feeding. Background Art

[0002] Calf feeding and management is an important aspect of calf management. The quality of calf feeding not only affects the calf culling rate, but is also directly related to whether the production performance of the calf can be exerted normally after it reaches adulthood and goes into production.

[0003] A Chinese patent with publication number CN108575791A discloses an intelligent calf feeding device, in which a left water inlet pipe is connected to a first solenoid valve and a second solenoid valve respectively, a left wastewater collection box is installed on the left side of a shell, a second solenoid valve is connected to a stirring barrel through a pipeline, a feed hopper is installed in the shell and the feed hopper is close to the top of the shell, a spiral feeder is installed at the bottom discharge port of the feed hopper, a stirring device is installed on the stirring barrel, a heater is installed in the stirring barrel, a controller is installed in the shell, a roller is installed on the bottom surface of the shell, a right wastewater collection box is installed on the right side of the shell, a right water inlet pipe is connected to a third solenoid valve, and the third solenoid valve is connected to a right cleaning nozzle through a pipeline, and the right cleaning nozzle, a right identifier and a right sucker are all installed in the right wastewater collection box. The device has a simple structure, solves the problems of high labor intensity and low feeding efficiency of manual feeding, realizes scientific, automated and precise calf feeding, and is stable and reliable.

[0004] In actual use, the above patent cannot determine the amount of feed required for the calf according to the calf's health status and physical energy consumption, and cannot ensure the balance and accuracy of the calf's nutritional intake; therefore, it does not meet existing needs. In this regard, we propose an intelligent management system for the entire process of calf precision feeding. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent management system for the whole process of precise feeding of calves, which can calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf, can understand the current state of the calf, and then feed the calf according to the current state, thereby ensuring the accuracy of the feeding amount calculation, and can accurately control the feeding amount of the calf. At the same time, it can monitor the health status and physical energy consumption of the calf in real time, and can calculate the feeding amount required for the calf according to the changes in the health status and physical energy consumption of the calf, thereby achieving precise feeding, ensuring the balanced and precise nutritional intake of the calf, and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above purpose, the present invention provides the following technical solutions: an intelligent management system for the whole process of calf precision feeding, comprising a mobile trolley and a scanner, a mixing component is installed on the upper surface of the mobile trolley, a spiral feeder is provided at the discharge end of the mixing component, a control host is installed on the right side of the mobile trolley, and a control management system is provided in the control host. A mounting plate is provided on the top of the control host, a mechanical arm is installed on the mounting plate, and a scanner is installed on the mechanical arm.

[0007] Preferably, the mixing assembly includes a stirring assembly, a mixing box, a feed port, a support frame, a mixing chamber and a heating chamber. The mixing box is installed on a mobile trolley through the support frame. The stirring assembly is installed in the mixing box. The mixing chamber is provided inside the mixing box, and a heating chamber is provided outside the mixing chamber. The feed port is provided on the top of the mixing box, and an electric heating wire is provided in the heating chamber.

[0008] Preferably, the stirring assembly includes a first motor, a stirring rod, a scraper and a stirring shaft, the output end of the first motor is connected to the stirring shaft, the stirring rod is fixed on the stirring shaft, and the scraper is provided on the outer side of the stirring rod.

[0009] Preferably, the spiral feeder includes a solenoid valve, a feed pipe, a feed pipe, a spiral feeding rod, a second motor and a discharge port, the solenoid valve is installed on the feed pipe, the bottom of the feed pipe is installed on the feed pipe, a spiral feeding rod is installed in the feed pipe, the spiral feeding rod is installed at the output end of the second motor, and a discharge port is provided at the bottom of the feed pipe.

[0010] Preferably, the control management system comprises:

[0011] The data collection chip is worn on the calf to collect the calf's health status and movement conditions, analyze the calf's physical exertion based on the calf's movement conditions, and locate the calf;

[0012] The data analysis module is used to calculate the amount of feed required for the calf based on the collected health status of the calf and the physical exertion of the calf, and to put the calculated amount of feed on the electronic tag worn by the calf;

[0013] Data analysis modules, including:

[0014] A calculation module, used for calculating the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf;

[0015] A transmission module, used for transmitting the calculated standard feeding amount required by the calf to the electronic tag corresponding to the calf;

[0016] Control the workflow of the management system, including:

[0017] Data collection chips and electronic tags are installed on calves to collect the calf's health status and exercise volume in real time through the data collection chip, and the calf's physical exertion is analyzed based on the calf's exercise volume;

[0018] Calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf, and transmit the calculated standard feeding amount required for the calf to the electronic tag corresponding to the calf;

[0019] The position of the calf is located by a positioning module, a driving route of the mobile vehicle (1) is determined according to the location of the calf, the corresponding calf is found according to the driving route, and the electronic tag worn by the calf is scanned to obtain the feeding amount of the calf;

[0020] The scanning result is transmitted to the control host (4), and the control host (4) controls the electromagnetic valve (31) to feed according to the feeding amount.

[0021] Preferably, the data acquisition chip comprises:

[0022] The data collection module is used to collect the health status and exercise volume of the calf, and analyze the calf's physical exertion based on the calf's exercise volume;

[0023] A data matching module is used to receive the data collected by the data collection module and match the collected data with the corresponding calf;

[0024] The positioning module is used to locate the calf and formulate a driving route according to the calf's location.

[0025] Preferably, the control management system further includes:

[0026] A real-time monitoring module, used to monitor in real time the positioning response time of the position data corresponding to the movement of the calf collected by the positioning module;

[0027] The positioning response time deviation coefficient acquisition module is used to obtain the positioning response time deviation coefficient according to the positioning response time of the position data of each movement of the positioning module; wherein the positioning response time deviation coefficient is obtained by the following formula:

[0028]

[0029] Where D represents the deviation coefficient of positioning response time; n represents the total number of positioning times corresponding to the positioning module; T i represents the positioning response time corresponding to the i-th positioning; T z represents the median positioning response time corresponding to n positionings; T p represents the average positioning response time corresponding to n positioning times; T y Indicates the maximum allowable positioning response time to meet the timeliness of positioning;

[0030] A coefficient comparison module, used to compare the positioning response time deviation coefficient with a preset coefficient threshold;

[0031] The abnormality determination module is used to retrieve the operating parameters of the positioning module and perform abnormality determination on the operating state of the positioning module when the positioning response time deviation coefficient exceeds a preset coefficient threshold.

[0032] Preferably, the abnormality determination module includes:

[0033] A data extraction module is used to extract the signal strength, battery power of the positioning module, signal interference strength and temperature of the positioning module corresponding to each positioning in the historical operation data of the positioning module;

[0034] The first determination coefficient acquisition module is used to obtain the first determination coefficient by using the signal strength and signal interference strength corresponding to each positioning in the historical operation data; wherein the first determination coefficient is obtained by the following formula:

[0035]

[0036] Among them, K 01 represents the first determination coefficient; n represents the total number of positioning times corresponding to the positioning module; S i represents the signal strength corresponding to the i-th positioning; S gi represents the signal interference strength corresponding to the i-th positioning; ε represents a small constant used to prevent the denominator from being zero; S ref Indicates the preset reference signal strength;

[0037] The second determination coefficient acquisition module is used to obtain the second determination coefficient by using the positioning module battery power and positioning module temperature corresponding to each positioning in the historical operation data; wherein the second determination coefficient is obtained by the following formula:

[0038]

[0039] Among them, K 02 represents the second determination coefficient; n represents the total number of positioning times corresponding to the positioning module; B i represents the battery power corresponding to the i-th positioning; B max Indicates the maximum capacity of the battery; T i represents the temperature of the positioning module corresponding to the i-th positioning; T ref Indicates the preset temperature reference value; w 01 and w 02 They are the weight values ​​corresponding to the battery power and positioning module respectively;

[0040] A comprehensive determination coefficient acquisition module is used to obtain a comprehensive determination coefficient using the first determination coefficient and the second determination coefficient; wherein the comprehensive determination coefficient is obtained by the following formula:

[0041] K=x·K 01 +y·K 02

[0042] Among them, K represents the comprehensive determination coefficient; K 01 represents the first determination coefficient; K 02 represents the second determination coefficient; x and y represent the weight coefficients corresponding to the first determination coefficient and the second determination coefficient respectively;

[0043] The abnormality determination module is used to compare the comprehensive determination coefficient with a preset determination coefficient threshold. When the comprehensive determination coefficient is lower than the preset determination coefficient threshold, it is determined that the positioning module has an operation abnormality and an abnormality alarm is issued.

[0044] Preferably, the health status of the calf collected specifically includes:

[0045] Collecting calf body temperature data, calf heart rate data and movement information, and normalizing the calf movement information, calf body temperature data and calf heart rate data;

[0046] Verify the matrix consistency of normalized calf body temperature data, calf heart rate data and movement information;

[0047] The square root method is used to calculate the maximum eigenvector of the matrix of the verified calf temperature data, calf heart rate data and movement information, obtain their weights, and combine them;

[0048] The combined calf body temperature data, calf heart rate data and movement information are input into the LSTM neural network to obtain the calf's health status.

[0049] Preferably, collecting the amount of exercise of the calf includes:

[0050] The acceleration sampling value of the calf's movement is collected at a set frequency to obtain an acceleration sampling signal;

[0051] The acceleration sampling signal is processed to obtain the motion parameters of the calf. When the motion parameters represent that the calf's body changes approximately 90 degrees relative to its normal standing posture in the space where it is located, it is recorded as an upright action.

[0052] When the movement parameters represent that the calf generates acceleration in the direction opposite to the center of the earth while overcoming gravity in an upright posture, it is recorded as running action;

[0053] The activity times and displacement data of the calves are recorded. The activity times refer to the number of autonomous movements of the calves per unit time, and the displacement data refer to the distance the calves walk during a period of time when the calves move in an approximately linear manner.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] The present invention installs a data acquisition chip and an electronic tag on the calf, so as to collect the health status of the calf and the physical energy consumption of the calf in real time, and then calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf, so as to understand the current state of the calf, and then feed the calf according to the current state, thereby ensuring the accuracy of the feeding amount calculation, and scanning the electronic tag worn by the calf with a scanner to identify the standard feeding amount of the calf, and according to the standard feeding amount, the feeding amount of the calf can be accurately controlled, and at the same time, the health status and physical energy consumption of the calf can be monitored in real time, and the feeding amount required for the calf can be calculated according to the changes in the health status and physical energy consumption of the calf, so as to achieve accurate feeding and ensure the balanced and accurate nutritional intake of the calf. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a structural schematic diagram of the intelligent management system for the entire process of calf precise feeding according to the present invention;

[0057] Figure 2 It is a schematic diagram of the mixing components of the intelligent management system for the whole process of calf precise feeding of the present invention;

[0058] Figure 3 It is a schematic diagram of the internal structure of part of the intelligent management system for the whole process of precise feeding of calves of the present invention;

[0059] Figure 4 This is a schematic diagram of a spiral feeder of the intelligent management system for the whole process of precise calf feeding of the present invention;

[0060] Figure 5 This is a module schematic diagram of the intelligent management system for the entire process of calf precision feeding of the present invention.

[0061] In the figure: 1. Mobile trolley; 2. Mixing component; 21. Stirring component; 211. First motor; 212. Stirring rod; 213. Scraper; 214. Stirring shaft; 22. Mixing box; 23. Feeding port; 24. Support frame; 25. Mixing chamber; 26. Heating chamber; 3. Screw feeder; 31. Solenoid valve; 32. Feeding pipe; 33. Feeding pipe; 34. Screw feeding rod; 35. Second motor; 36. Discharging port; 4. Control host; 5. Robotic arm; 6. Scanner. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0063] In order to solve the problem that the existing patent cannot determine the amount of feed required by the calf according to the calf's health status and physical energy consumption during actual use, and cannot ensure the balanced and accurate nutritional intake of the calf, please refer to Figure 1-Figure 5 , this embodiment provides the following technical solutions:

[0064] An intelligent management system for the whole process of precise feeding of calves includes a mobile trolley 1 and a scanner 6. A mixing component 2 is installed on the upper surface of the mobile trolley 1, and a spiral feeder 3 is provided at the discharge end of the mixing component 2. A control host 4 is installed on the right side of the mobile trolley 1, and a control management system is provided in the control host 4. A mounting plate is provided on the top of the control host 4, and a mechanical arm 5 is installed on the mounting plate, and a scanner 6 is installed on the mechanical arm 5.

[0065] The mixing assembly 2 includes a stirring assembly 21, a mixing box 22, a feed port 23, a support frame 24, a mixing chamber 25 and a heating chamber 26. The mixing box 22 is installed on the mobile vehicle 1 through the support frame 24. The stirring assembly 21 is installed in the mixing box 22. The mixing chamber 25 is provided inside the mixing box 22. The heating chamber 26 is provided outside the mixing chamber 25. The feed port 23 is provided on the top of the mixing box 22. An electric heating wire is provided in the heating chamber 26. The electric heating wire is used to heat the feed to prevent the feed from clumping when the temperature is too low, which affects the stirring effect.

[0066] The stirring assembly 21 includes a first motor 211, a stirring rod 212, a scraper 213 and a stirring shaft 214. The output end of the first motor 211 is connected to the stirring shaft 214. The stirring rod 212 is fixed on the stirring shaft 214. The outer side of the stirring rod 212 is provided with a scraper 213. The scraper 213 can scrape the inner wall of the mixing chamber 25 to prevent the feed from sticking to the inner wall of the mixing chamber 25 during stirring, which not only causes waste of feed but also is difficult to clean. The scraper 213 contacts the inner wall of the mixing chamber 25. When in use, feed, water, and feed additives are put into the mixing chamber 25 through the feed inlet 23, and the first motor 211 is started to rotate the stirring shaft 214, thereby driving the stirring rod 212 to rotate, stirring the feed in the mixing chamber 25, and at the same time, the electric heating wire is energized to heat the feed.

[0067] The screw feeder 3 includes a solenoid valve 31, a feed pipe 32, a feed pipe 33, a screw feeding rod 34, a second motor 35 and a discharge port 36. The feed pipe 32 is installed at the bottom of the mixing box 22. The solenoid valve 31 is installed on the feed pipe 32. The bottom of the feed pipe 32 is installed on the feed pipe 33. A screw feeding rod 34 is installed in the feed pipe 33. The screw feeding rod 34 is installed at the output end of the second motor 35. The bottom of the feed pipe 33 is provided with a discharge port 36. When the feed mixing is completed, the solenoid valve 31 is opened to allow the feed to enter the feed pipe 33 through the feed pipe 32, and then the second motor 35 is started to rotate the screw feeding rod 34 to feed the feed in the feed pipe 33 to the calf through the discharge port 36. When the solenoid valve 31 records that the feeding amount of the feed reaches the feeding amount required by the calf, the solenoid valve 31 is closed.

[0068] Control management system, including:

[0069] The data collection chip is worn on the calf to collect the calf's health status and movement conditions, analyze the calf's physical exertion based on the calf's movement conditions, and locate the calf;

[0070] The data analysis module is used to calculate the amount of feed required for the calf based on the collected health status of the calf and the physical exertion of the calf, and to put the calculated amount of feed on the electronic tag worn by the calf.

[0071] Data acquisition chip, including:

[0072] The data collection module is used to collect the health status and exercise volume of the calf, and analyze the calf's physical exertion based on the calf's exercise volume;

[0073] A data matching module is used to receive the data collected by the data collection module and match the collected data with the corresponding calf;

[0074] The positioning module is used to locate the calf and formulate a driving route according to the calf's location, so as to facilitate finding the corresponding calf and avoid the situation where the calf farm is large and it takes a long time to find the calf, thus saving working time.

[0075] Specifically, the control management system further includes:

[0076] A real-time monitoring module, used to monitor in real time the positioning response time of the position data corresponding to the movement of the calf collected by the positioning module;

[0077] The positioning response time deviation coefficient acquisition module is used to obtain the positioning response time deviation coefficient according to the positioning response time of the position data of each movement of the positioning module; wherein the positioning response time deviation coefficient is obtained by the following formula:

[0078]

[0079] Where D represents the deviation coefficient of positioning response time; n represents the total number of positioning times corresponding to the positioning module; T i represents the positioning response time corresponding to the i-th positioning; T z represents the median positioning response time corresponding to n positionings; T p represents the average positioning response time corresponding to n positioning times; T y Indicates the maximum allowable positioning response time to meet the timeliness of positioning;

[0080] A coefficient comparison module, used to compare the positioning response time deviation coefficient with a preset coefficient threshold;

[0081] The abnormality determination module is used to retrieve the operating parameters of the positioning module and perform abnormality determination on the operating state of the positioning module when the positioning response time deviation coefficient exceeds a preset coefficient threshold.

[0082] The technical effect of the above technical solution is: through the real-time monitoring module, the movement of the calf and the corresponding position data can be tracked and monitored in real time to ensure the timeliness and accuracy of the data. The positioning response time deviation coefficient acquisition module can evaluate the performance of the positioning module, and quantify the stability and efficiency of the positioning response by calculating the deviation coefficient of the positioning response time. The positioning response time deviation coefficient is introduced as an evaluation indicator. This coefficient comprehensively considers the median, average and maximum allowable positioning response time of the positioning response time, and provides a more comprehensive performance evaluation. This evaluation method can better reflect the stability and reliability of the positioning module in practical applications than a single response time or success rate.

[0083] The combination of the coefficient comparison module and the abnormality judgment module can promptly detect abnormal conditions in the operation of the positioning module. When the positioning response time deviation coefficient exceeds the preset threshold, the system will actively retrieve the operating parameters of the positioning module and make an abnormality judgment, which will help to quickly locate the problem and take corresponding measures to reduce losses caused by inaccurate positioning or delayed response. Through the implementation of the above technical solutions, the reliability and efficiency of the positioning module and the entire control management system can be significantly improved. Real-time monitoring and exception handling mechanisms ensure the accuracy of the data and the stable operation of the system, thereby improving the efficiency and effectiveness of application scenarios such as animal husbandry management and animal tracking.

[0084] In summary, this technical solution significantly improves the performance of the positioning module and the entire control management system through real-time monitoring, accurate performance evaluation, timely anomaly detection and processing, etc., providing more reliable and efficient technical support for application scenarios such as animal husbandry management and animal tracking.

[0085] Specifically, the abnormality determination module includes:

[0086] A data extraction module is used to extract the signal strength, battery power of the positioning module, signal interference strength and temperature of the positioning module corresponding to each positioning in the historical operation data of the positioning module;

[0087] The first determination coefficient acquisition module is used to obtain the first determination coefficient by using the signal strength and signal interference strength corresponding to each positioning in the historical operation data; wherein the first determination coefficient is obtained by the following formula:

[0088]

[0089] Among them, K 01 represents the first determination coefficient; n represents the total number of positioning times corresponding to the positioning module; S i represents the signal strength corresponding to the i-th positioning; S gi represents the signal interference strength corresponding to the i-th positioning; ε represents a small constant used to prevent the denominator from being zero; S ref Indicates the preset reference signal strength;

[0090] The second determination coefficient acquisition module is used to obtain the second determination coefficient by using the positioning module battery power and positioning module temperature corresponding to each positioning in the historical operation data; wherein the second determination coefficient is obtained by the following formula:

[0091]

[0092] Among them, K 02 represents the second determination coefficient; n represents the total number of positioning times corresponding to the positioning module; B i represents the battery power corresponding to the i-th positioning; B max Indicates the maximum capacity of the battery; T i represents the temperature of the positioning module corresponding to the i-th positioning; T ref Indicates the preset temperature reference value; w 01 and w 02 They are the weight values ​​corresponding to the battery power and positioning module respectively;

[0093] A comprehensive determination coefficient acquisition module is used to obtain a comprehensive determination coefficient using the first determination coefficient and the second determination coefficient; wherein the comprehensive determination coefficient is obtained by the following formula:

[0094] K=x·K 01 +y·K 02

[0095] Among them, K represents the comprehensive determination coefficient; K 01 represents the first determination coefficient; K 02represents the second determination coefficient; x and y represent the weight coefficients corresponding to the first determination coefficient and the second determination coefficient respectively;

[0096] The abnormality determination module is used to compare the comprehensive determination coefficient with a preset determination coefficient threshold. When the comprehensive determination coefficient is lower than the preset determination coefficient threshold, it is determined that the positioning module has an operation abnormality and an abnormality alarm is issued.

[0097] The technical effect of the above technical solution is that through the data extraction module, the system can fully extract the historical operation data of the positioning module, including key parameters such as signal strength, battery power, signal interference strength and temperature. These multi-dimensional data provide a rich information basis for subsequent abnormality judgment.

[0098] The signal strength and signal interference strength are used to effectively evaluate the impact of signal quality on positioning performance. The stability and accuracy of the formula are ensured by the preset reference signal strength (Sref) and the introduction of a small constant ε. The potential impact of hardware status on positioning performance is considered by combining battery power and temperature factors. The introduction of weight values ​​(w01 and w02) allows the relative importance of each factor to be adjusted according to actual needs.

[0099] Comprehensive determination coefficient (K): By integrating the first determination coefficient and the second determination coefficient and assigning them corresponding weight coefficients (x and y), the system can derive a determination coefficient that comprehensively reflects the operating status of the positioning module. This method takes into account both signal quality and hardware status, improving the comprehensiveness and accuracy of abnormality determination. When the comprehensive determination coefficient is lower than the preset determination coefficient threshold, the system can automatically determine that the positioning module has an operating abnormality and issue an abnormality alarm. This automated abnormality detection mechanism helps to discover and solve problems in a timely manner, avoiding potential risks and losses.

[0100] Through the implementation of the above technical solutions, the system can monitor and evaluate the operating status of the positioning module in real time, detect potential problems in a timely manner and take corresponding measures. This helps to improve the reliability and stability of the entire system and ensure the accuracy and timeliness of positioning data. Parameters such as weight values ​​and determination coefficient thresholds in this technical solution can be adjusted and optimized according to actual needs, making the system highly flexible and scalable. In the future, with the continuous development of technology and the expansion of application scenarios, the system can easily adapt to new needs and challenges.

[0101] In summary, this technical solution significantly improves the anomaly detection capability of the positioning module and the overall performance of the system through comprehensive evaluation of multi-dimensional data, construction of accurate determination coefficients, comprehensive determination and anomaly detection.

[0102] The health status of the calves was collected, including:

[0103] Collecting calf body temperature data, calf heart rate data and movement information, and normalizing the calf movement information, calf body temperature data and calf heart rate data;

[0104] Verify the matrix consistency of normalized calf body temperature data, calf heart rate data and movement information;

[0105] The square root method is used to calculate the maximum eigenvector of the matrix of the verified calf temperature data, calf heart rate data and movement information, obtain their weights, and combine them;

[0106] The combined calf body temperature data, calf heart rate data and movement information are input into the LSTM neural network to obtain the calf's health status.

[0107] Collect the calf's exercise, including:

[0108] The acceleration sampling value of the calf's movement is collected at a set frequency to obtain an acceleration sampling signal;

[0109] The acceleration sampling signal is processed to obtain the motion parameters of the calf. When the motion parameters represent that the calf's body changes approximately 90 degrees relative to its normal standing posture in the space where it is located, it is recorded as an upright action.

[0110] When the movement parameters represent that the calf generates acceleration in the direction opposite to the center of the earth while overcoming gravity in an upright posture, it is recorded as running action;

[0111] The activity times and displacement data of the calves are recorded. The activity times refer to the number of autonomous movements of the calves per unit time, and the displacement data refer to the distance the calves walk during a period of time when the calves move in an approximately linear manner.

[0112] Data analysis modules, including:

[0113] A calculation module, used for calculating the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf;

[0114] The transmission module is used to transmit the calculated standard feeding amount required for the calf to the electronic tag corresponding to the calf. The health status and physical exertion of the calf are monitored in real time through the data acquisition chip, so that the current status of the calf can be understood, and then the calf can be fed according to the current status, ensuring the accuracy of the feeding amount calculation.

[0115] Control the workflow of the management system, including:

[0116] Data collection chips and electronic tags are installed on calves to collect the calf's health status and exercise volume in real time through the data collection chip, and the calf's physical exertion is analyzed based on the calf's exercise volume;

[0117] Calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf, and transmit the calculated standard feeding amount required for the calf to the electronic tag corresponding to the calf;

[0118] The calf's position is located by the positioning module, and the driving route of the mobile vehicle 1 is determined according to the location of the calf. The corresponding calf is found according to the driving route, and the electronic tag worn by the calf is scanned to obtain the feeding amount of the calf;

[0119] The scanning result is transmitted to the control host 4, and the control host 4 controls the solenoid valve 31 to feed according to the feeding amount. According to the positioning of the calf, the device is moved to the electronic tag through the mobile cart 1. At the same time, a positioning module is set in the electronic tag. When feeding the calf, the position of the calf is located according to the positioning module set in the electronic tag. The feeding system formulates the driving route of the mobile cart 1 according to the positioning of the calf, and then drives the mobile cart 1 according to the driving route to move the feeding system to the location of the calf. The electronic tag worn by the calf is scanned by the scanner 6 to identify the standard feeding amount of the calf. According to the standard feeding amount, the feed and water are mixed through the mixing component 2 on the feeding system. The mixed and stirred feed is heated by an electric heating wire. After heating, the solenoid valve 31 on the digestion device is opened, and the heated feed is fed to the calf through the spiral feeder 3, and is measured by the solenoid valve 31. When the standard feeding amount is reached, the solenoid valve 31 is controlled to stop feeding, which can accurately control the feeding amount of the calf, and at the same time can monitor the health status and physical energy consumption of the calf in real time, and can calculate the feeding amount required for the calf according to the changes in the health status and physical energy consumption of the calf, so as to achieve accurate feeding.

[0120] Working principle: When using the intelligent management system for the whole process of calf precise feeding of the present invention, according to Figure 1-Figure 5 , including the following steps:

[0121] Step 1: Install data collection chips and electronic tags on the calves, collect the calf's health status and exercise volume in real time through the data collection chips, and analyze the calf's physical exertion based on the calf's exercise volume;

[0122] Step 2: Calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf, transmit the calculated standard feeding amount required for the calf to the electronic tag corresponding to the calf, locate the position of the calf through the positioning module, and formulate the driving route of the mobile vehicle 1 according to the positioning result;

[0123] Step 3: Control the host 4 to move the device to the calf feeding point according to the driving route, and use the scanner 6 to scan the electronic tag worn by the calf to identify the standard feeding amount of the calf;

[0124] Step 4: After identifying the standard feeding amount of the calf, feed, water, and feed additives are put into the mixing chamber 25 through the feed inlet 23, and the first motor 211 is started to rotate the stirring shaft 214, thereby driving the stirring rod 212 to rotate, stirring the feed in the mixing chamber 25, and at the same time, the electric heating wire is energized to heat the feed;

[0125] Step 5: After the feed is mixed, the solenoid valve 31 is opened to allow the feed to enter the feeding pipe 33 through the feeding pipe 32, and then the second motor 35 is started to rotate the spiral feeding rod 34 to feed the feed in the feeding pipe 33 to the calf through the discharge port 36. When the solenoid valve 31 records that the feeding amount of the feed reaches the feeding amount required by the calf, the solenoid valve 31 is closed.

[0126] In summary, the intelligent management system for the whole process of precise feeding of calves of the present invention can collect the health status of the calf and the physical exertion of the calf in real time by installing data acquisition chips and electronic tags on the calf, and then calculate the standard feeding amount required for the calf according to the health status of the calf and the physical exertion of the calf, and can understand the current state of the calf, and then feed the calf according to the current state, thereby ensuring the accuracy of the feeding amount calculation, locating the position of the calf through the positioning module, facilitating the finding of the corresponding calf, avoiding the situation that the calf farm is large and it takes a long time to find the position of the calf, and saving working time. The device can be moved to the calf feeding point by the mobile cart 1, and the calf can be fed. Automatic feeding does not require manual operation, saving manpower and material resources. The electronic tag worn by the calf is scanned by the scanner 6 to identify the standard feeding amount of the calf. According to the standard feeding amount, the feed, water, and feed additives are mixed and stirred through the mixing component 2 on the feeding system, and the calf is fed through the spiral feeder 3 and measured through the solenoid valve 31. When the standard feeding amount is reached, the solenoid valve 31 is controlled to stop feeding. The feeding amount of the calf can be accurately controlled, and the health status and physical energy consumption of the calf can be monitored in real time. The required feeding amount of the calf can be calculated according to the changes in the health status and physical energy consumption of the calf, so as to achieve accurate feeding and ensure the balanced and accurate nutritional intake of the calf.

[0127] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0128] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. An intelligent management system for the whole process of precise feeding of calves, comprising a mobile vehicle (1) and a scanner (6), characterized in that: A mixing assembly (2) is installed on the upper surface of the mobile trolley (1), a screw feeder (3) is provided at the discharge end of the mixing assembly (2), a control host (4) is installed on the right side of the mobile trolley (1), a control management system is provided in the control host (4), a mounting plate is provided on the top of the control host (4), a mechanical arm (5) is installed on the mounting plate, and a scanner (6) is installed on the mechanical arm (5).

2. The intelligent management system for the whole process of calf precise feeding according to claim 1, characterized in that: The mixing assembly (2) comprises a stirring assembly (21), a mixing box (22), a feed port (23), a support frame (24), a mixing chamber (25) and a heating chamber (26); the mixing box (22) is installed on the mobile vehicle (1) via the support frame (24); the stirring assembly (21) is installed in the mixing box (22); the mixing chamber (25) is provided inside the mixing box (22); the heating chamber (26) is provided outside the mixing chamber (25); the feed port (23) is provided at the top of the mixing box (22); and an electric heating wire is provided in the heating chamber (26).

3. The intelligent management system for the whole process of calf precise feeding according to claim 2 is characterized by: The stirring assembly (21) comprises a first motor (211), a stirring rod (212), a scraper (213) and a stirring shaft (214); the output end of the first motor (211) is connected to the stirring shaft (214); the stirring rod (212) is fixed on the stirring shaft (214); and the scraper (213) is arranged on the outer side of the stirring rod (212).

4. The intelligent management system for the whole process of calf precise feeding according to claim 3 is characterized by: The screw feeder (3) comprises a solenoid valve (31), a feed pipe (32), a feed pipe (33), a screw feeding rod (34), a second motor (35) and a discharge port (36); the solenoid valve (31) is mounted on the feed pipe (32); the bottom of the feed pipe (32) is mounted on the feed pipe (33); a screw feeding rod (34) is mounted in the feed pipe (33); the screw feeding rod (34) is mounted on the output end of the second motor (35); and the bottom of the feed pipe (33) is provided with a discharge port (36).

5. The intelligent management system for the whole process of calf precise feeding according to claim 1, characterized in that: The control management system comprises: The data collection chip is worn on the calf to collect the calf's health status and movement conditions, analyze the calf's physical exertion based on the calf's movement conditions, and locate the calf; The data analysis module is used to calculate the amount of feed required for the calf based on the collected health status of the calf and the physical exertion of the calf, and to put the calculated amount of feed on the electronic tag worn by the calf; Data analysis modules, including: A calculation module, used to calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf; A transmission module, used for transmitting the calculated standard feeding amount required by the calf to the electronic tag corresponding to the calf; Control the workflow of the management system, including: Data collection chips and electronic tags are installed on calves to collect the calf's health status and exercise volume in real time through the data collection chip, and the calf's physical exertion is analyzed based on the calf's exercise volume; Calculate the standard feeding amount required for the calf according to the health status of the calf and the physical energy consumption of the calf, and transmit the calculated standard feeding amount required for the calf to the electronic tag corresponding to the calf; The position of the calf is located by a positioning module, a driving route of the mobile vehicle (1) is determined according to the location of the calf, the corresponding calf is found according to the driving route, and the electronic tag worn by the calf is scanned to obtain the feeding amount of the calf; The scanning result is transmitted to the control host (4), and the control host (4) controls the electromagnetic valve (31) to feed according to the feeding amount.

6. The intelligent management system for the whole process of calf precise feeding according to claim 5, characterized in that: The data acquisition chip comprises: The data collection module is used to collect the health status and exercise volume of the calf, and analyze the calf's physical exertion based on the calf's exercise volume; A data matching module is used to receive the data collected by the data collection module and match the collected data with the corresponding calf; The positioning module is used to locate the calf and formulate a driving route according to the calf's location.

7. The intelligent management system for the whole process of calf precise feeding according to claim 6, characterized in that: The control management system further includes: A real-time monitoring module, used to monitor in real time the positioning response time of the position data corresponding to the movement of the calf collected by the positioning module; The positioning response time deviation coefficient acquisition module is used to obtain the positioning response time deviation coefficient according to the positioning response time of the position data of each movement of the positioning module; wherein the positioning response time deviation coefficient is obtained by the following formula: Where D represents the deviation coefficient of positioning response time; n represents the total number of positioning times corresponding to the positioning module; T i represents the positioning response time corresponding to the i-th positioning; T z represents the median positioning response time corresponding to n positionings; T p represents the average positioning response time corresponding to n positioning times; T y Indicates the maximum allowable positioning response time to meet the timeliness of positioning; A coefficient comparison module, used to compare the positioning response time deviation coefficient with a preset coefficient threshold; The abnormality determination module is used to retrieve the operating parameters of the positioning module and perform abnormality determination on the operating state of the positioning module when the positioning response time deviation coefficient exceeds a preset coefficient threshold.

8. The intelligent management system for the whole process of calf precise feeding according to claim 7, characterized in that: The abnormality determination module includes: A data extraction module is used to extract the signal strength, battery power of the positioning module, signal interference strength and temperature of the positioning module corresponding to each positioning in the historical operation data of the positioning module; The first determination coefficient acquisition module is used to obtain the first determination coefficient by using the signal strength and signal interference strength corresponding to each positioning in the historical operation data; wherein the first determination coefficient is obtained by the following formula: Among them, K 01 represents the first determination coefficient; n represents the total number of positioning times corresponding to the positioning module; S i represents the signal strength corresponding to the i-th positioning; S gi represents the signal interference strength corresponding to the i-th positioning; ε represents a small constant, which is used to prevent the denominator from being zero; S ref Indicates the preset reference signal strength; The second determination coefficient acquisition module is used to obtain the second determination coefficient by using the positioning module battery power and positioning module temperature corresponding to each positioning in the historical operation data; wherein the second determination coefficient is obtained by the following formula: Among them, K 02 represents the second determination coefficient; n represents the total number of positioning times corresponding to the positioning module; B i represents the battery power corresponding to the i-th positioning; B max Indicates the maximum capacity of the battery; T i represents the temperature of the positioning module corresponding to the i-th positioning; T ref Indicates the preset temperature reference value; w 01 and w 02 They are the weight values ​​corresponding to the battery power and positioning module respectively; A comprehensive determination coefficient acquisition module is used to obtain a comprehensive determination coefficient using the first determination coefficient and the second determination coefficient; wherein the comprehensive determination coefficient is obtained by the following formula: K=x·K 01 +y·K 02 Among them, K represents the comprehensive determination coefficient; K 01 represents the first determination coefficient; K 02 represents the second determination coefficient; x and y represent the weight coefficients corresponding to the first determination coefficient and the second determination coefficient respectively; The abnormality determination module is used to compare the comprehensive determination coefficient with a preset determination coefficient threshold. When the comprehensive determination coefficient is lower than the preset determination coefficient threshold, it is determined that the positioning module has an operation abnormality and an abnormality alarm is issued.

9. The intelligent management system for the whole process of calf precise feeding according to claim 6, characterized in that: The health status of the collected calves specifically includes: Collecting calf body temperature data, calf heart rate data and movement information, and normalizing the calf movement information, calf body temperature data and calf heart rate data; Verify the matrix consistency of normalized calf body temperature data, calf heart rate data and movement information; The square root method is used to calculate the maximum eigenvector of the matrix of the verified calf temperature data, calf heart rate data and movement information, obtain their weights, and combine them; The combined calf body temperature data, calf heart rate data and movement information are input into the LSTM neural network to obtain the calf's health status.

10. The intelligent management system for the whole process of calf precise feeding according to claim 9, characterized in that: The amount of exercise of the calf is collected, including: The acceleration sampling value of the calf's movement is collected at a set frequency to obtain an acceleration sampling signal; The acceleration sampling signal is processed to obtain the motion parameters of the calf. When the motion parameters represent that the calf's body changes approximately 90 degrees relative to its normal standing posture in the space where it is located, it is recorded as an upright action. When the movement parameters represent that the calf generates acceleration in the direction opposite to the center of the earth while overcoming gravity in an upright posture, it is recorded as running action; The activity times and displacement data of the calves are recorded. The activity times refer to the number of autonomous movements of the calves per unit time, and the displacement data refer to the distance the calves walk during a period of time when the calves move in an approximately linear manner.

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