Livestock monitoring method and system based on electronic fence, medium and product

Abstract

The invention discloses a livestock monitoring method and system based on an electronic fence, a medium and a product, and relates to the technical field of animal husbandry equipment. By adopting the technical scheme, the intelligent necklace and the electronic fence are combined, so that the pasture management system not only can monitor the position of the livestock in real time, but also can pre-judge the behavior trend of the livestock by analyzing the movement of the livestock. When the pasture management system predicts that the livestock may trigger the early-warning frequent electronic fence, the acousto-optic stimulation device of the intelligent necklace is started in advance to guide the livestock to be away from the early-warning frequent electronic fence, so that preventive intervention on livestock behaviors is realized. Compared with a traditional passive alarm mode, the active intervention mode based on prediction can more effectively prevent the livestock from crossing the border, and the management cost is greatly reduced. Meanwhile, the pasture management system records the early warning triggering position and the early warning triggering frequency, the electronic fence with the early warning frequency can be recognized, a pasture manager can adjust the grazing strategy in time, and pasture resource utilization is optimized.

Description

Technical Field

[0001] The present application relates to the technical field of animal husbandry equipment, and in particular to a livestock monitoring method, system, medium and product based on electronic fence. Background Art

[0002] With the development of intelligent breeding technology, ranch management increasingly relies on electronic fence technology to monitor and manage livestock. By setting up electronic fences on the ranch and fitting livestock with smart collars, the range of livestock activities can be limited and their behavior can be monitored, effectively reducing the labor cost of ranch management and improving management efficiency.

[0003] In the related art, when livestock approach or cross the boundary of the electronic fence, the electronic fence will send an early warning message to the management personnel, and at the same time send out sound and light signals through the smart collar to stop the livestock from moving further. This method can basically meet the needs of livestock activity range management.

[0004] However, since livestock activities have certain regularity, warnings may be triggered frequently in some areas. Such frequent warnings not only increase the system load, but also easily cause livestock to adapt to warning signals and reduce the effectiveness of warnings. Summary of the invention

[0005] The present application provides a livestock monitoring method, system, medium and product based on electronic fence, which are used to reduce the problem of frequent electronic fence warnings and avoid ineffective consumption of system resources.

[0006] In the first aspect, the present application provides a livestock monitoring method based on electronic fences, which is applied to a pasture management system. The method includes: determining a pasture management base map according to the coordinates of the boundary points of the pasture; adding multiple electronic fences and warning rules corresponding to each electronic fence to the pasture management base map, the warning rules including livestock entering the fence alarm or livestock leaving the fence alarm; collecting the longitude and latitude coordinates of the livestock through a smart collar, and judging whether the livestock has triggered the warning rule according to the longitude and latitude coordinates; when the livestock triggers the warning rule, recording the warning triggering position and the warning triggering frequency to determine the electronic fence with frequent warnings; when the livestock triggers the warning rule, When it is detected that the target livestock enters the buffer zone of the frequent warning electronic fence, the approach speed and direction angle between the target livestock and the frequent warning electronic fence are calculated. The target livestock is used to represent any one or more livestock. The approach speed is determined by the latitude and longitude coordinates of the target livestock. The direction angle refers to the angle between the motion vector of the target livestock and the normal direction of the frequent warning electronic fence. According to the approach speed and the direction angle, it is determined whether the target livestock triggers the high-frequency warning rules of the frequent warning electronic fence within a preset time period in the future; if so, the sound and light stimulation device of the target smart collar is activated to guide the target livestock away from the frequent warning electronic fence.

[0007] By adopting the above technical solutions and combining smart collars with electronic fences, the ranch management system can not only monitor the location of livestock in real time, but also predict their behavior trends by analyzing livestock movements. When the ranch management system predicts that livestock may trigger an electronic fence with frequent warnings, it will start the sound and light stimulation device of the smart collar in advance to guide the livestock away from the electronic fence with frequent warnings, thereby achieving preventive intervention in livestock behavior. This prediction-based active intervention method is more effective in preventing livestock from crossing the boundary than traditional passive alarms, greatly reducing management costs. At the same time, the ranch management system records the warning trigger location and warning trigger frequency, and can identify electronic fences with frequent warnings, which helps ranch managers to adjust grazing strategies in a timely manner and optimize the use of ranch resources.

[0008] In combination with some embodiments of the first aspect, in some embodiments, when the target livestock is detected to enter the buffer zone of the frequent warning electronic fence, the approach speed and direction angle of the target livestock and the frequent warning electronic fence are calculated, specifically including: when the target livestock is detected to enter the buffer zone of the frequent warning electronic fence, the position coordinates of the target livestock are periodically obtained; based on multiple position coordinates, the motion trajectory equation of the target livestock is obtained by least squares fitting; according to the motion trajectory equation, the instantaneous velocity vector of the target livestock is calculated; the instantaneous velocity vector is projected to the normal direction of the frequent warning electronic fence to obtain the approach speed; the angle between the instantaneous velocity vector and the normal direction of the frequent warning electronic fence is calculated to obtain the direction angle.

[0009] By adopting the above technical solution, the ranch management system periodically collects the position coordinates of the target livestock and uses the least squares method to fit the motion trajectory equation, which can not only accurately obtain the instantaneous velocity vector of the target livestock, but also eliminate the impact of positioning errors. The ranch management system projects the instantaneous velocity vector to the normal direction of the electronic fence to obtain the approach speed. Combined with the directional angle analysis, it can fully reflect the approach of the target livestock to the electronic fence with frequent warnings. This motion parameter calculation method based on a mathematical model provides a reliable data basis for subsequent livestock behavior predictions, significantly improving the accuracy and timeliness of warnings.

[0010] In combination with some embodiments of the first aspect, in some embodiments, based on the approach speed and the direction angle, it is judged whether the target livestock will trigger the high-frequency warning rules of the electronic fence with frequent warnings within a preset time period in the future, specifically including: taking the current position of the target livestock as the origin, determining the normal direction of the electronic fence with frequent warnings at the current position as the positive direction of the y-axis, and determining the direction parallel to the electronic fence with frequent warnings as the x-axis direction, and constructing a local coordinate system; based on the approach speed, decomposing the x-direction component velocity and the y-direction component velocity of the target livestock; determining the x-direction predicted displacement and the y-direction predicted displacement of the target livestock within a preset time period in the future based on the x-direction component velocity and the y-direction component velocity; judging whether the target livestock will trigger the high-frequency warning rules of the electronic fence with frequent warnings within a preset time period in the future based on the x-direction predicted displacement, the y-direction predicted displacement and the preset trigger warning conditions.

[0011] By adopting the above technical solution, the pasture management system establishes a local coordinate system to intuitively analyze the movement trends of target livestock relative to the electronic fence with frequent warnings, so as to more accurately determine whether the livestock will trigger warnings, providing a scientific basis for the pasture management system to implement early intervention and effectively improving the intelligence level of livestock behavior control.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of collecting the longitude and latitude coordinates of the livestock through the smart collar and determining whether the livestock triggers the warning rule based on the longitude and latitude coordinates, the method also includes: if the livestock triggers the first warning rule of the first electronic fence, obtaining the movement parameters of the livestock, the first warning rule is to alarm when the livestock enters the first electronic fence; based on the movement parameters, identifying the behavior state of the livestock; and selecting a corresponding livestock interception strategy according to the behavior state.

[0013] By adopting the above technical solutions, when the ranch management system detects that the livestock has triggered an early warning of entering the electronic fence, it will obtain its movement parameters and identify its behavioral state accordingly, thereby selecting the most suitable livestock interception strategy. This differentiated interception method significantly improves management efficiency. For example, a stronger interception force may be required for fast-running livestock, while a gentle guidance method can be used for slow-foraging livestock. By associating the behavioral characteristics of livestock with interception strategies, the ranch management system can take more targeted control measures, which not only ensures the effectiveness of interception, but also avoids excessive intervention that causes unnecessary disturbance to livestock, thereby achieving scientific and humane livestock management.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after the step of collecting the longitude and latitude coordinates of the livestock through the smart collar and determining whether the livestock triggers the warning rule based on the longitude and latitude coordinates, the method also includes: if the livestock triggers the second warning rule of the second electronic fence, obtaining the physiological parameters of the livestock, the second warning rule is to alarm when the livestock leaves the second electronic fence; determining the livestock's intention level to leave the group based on the physiological state parameters; and executing a corresponding livestock recall strategy based on the intention level to leave the group.

[0015] By adopting the above technical solution, when the ranch management system detects that the livestock has triggered an early warning of leaving the electronic fence, it will collect its physiological parameters to determine the level of its intention to leave the group, and then implement the corresponding livestock recall strategy. This method of associating livestock's physiological parameters with behavioral characteristics breaks through the limitations of traditional management that relies solely on livestock location information. By analyzing the livestock's physiological state, it can more accurately predict its behavioral tendencies, greatly improving the accuracy of livestock departure early warnings and the precision of livestock management.

[0016] In combination with some embodiments of the first aspect, in some embodiments, when livestock triggers the warning rule, after recording the warning trigger position and the warning trigger frequency to determine the step of frequently-warning electronic fences, the method also includes: if the number of target warning triggers of the target frequently-warning electronic fence exceeds a preset number, obtaining the grass coverage rate and grass quality information of the area where the target frequently-warning electronic fence is located; determining the activity pattern of livestock in the area where the target frequently-warning electronic fence is located based on the latitude and longitude coordinates, grass coverage rate and grass quality information; and adjusting the shape of the target frequently-warning electronic fence based on the activity pattern.

[0017] By adopting the above technical solution, the shape of the target warning frequent electronic fence is adjusted according to the activity patterns of livestock in the area where the target warning frequent electronic fence is located, so that it is more in line with the natural activity habits of livestock, which can not only ensure the management effect but also reduce unnecessary warning intervention.

[0018] In combination with some embodiments of the first aspect, in some embodiments, after the steps of collecting the longitude and latitude coordinates of the livestock through the smart collar and determining whether the livestock triggers the early warning rules based on the longitude and latitude coordinates, the method also includes: if the livestock triggers the early warning rules, obtaining the location information of the livestock; sending the location information to the management personnel, and emitting sound and light signals through the smart collar worn by the livestock.

[0019] By adopting the above technical solution, when livestock triggers the early warning rules, the pasture management system will simultaneously push the livestock's location information to the management personnel and send out sound and light signals through the smart collar. This dual early warning mechanism can not only guide livestock to adjust their behavior in a timely manner, but also facilitate managers to quickly locate and deal with abnormal situations. Especially in large-scale grazing scenarios, this precise positioning information can significantly improve management efficiency and reduce the cost of manpower inspections. At the same time, the timely feedback of sound and light signals also helps livestock gradually establish awareness of electronic fences and form conditioned reflexes, thereby reducing the frequency of early warning triggers and improving management effectiveness.

[0020] In a second aspect, an embodiment of the present application provides a ranch management system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the ranch management system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions, which, when executed on a ranch management system, enables the ranch management system to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, comprising instructions, which, when executed on a ranch management system, enables the ranch management system to execute the method described in the first aspect and any possible implementation of the first aspect.

[0023] It can be understood that the pasture management system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiment of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solution and combining smart collars with electronic fences, the ranch management system can not only monitor the location of livestock in real time, but also predict their behavior trends by analyzing livestock movements. When the ranch management system predicts that livestock may trigger an electronic fence with frequent warnings, it will start the sound and light stimulation device of the smart collar in advance to guide the livestock away from the electronic fence with frequent warnings, thereby achieving preventive intervention in livestock behavior. This prediction-based active intervention method is more effective in preventing livestock from crossing the boundary than traditional passive alarms, greatly reducing management costs. At the same time, the ranch management system records the warning trigger location and warning trigger frequency, and can identify electronic fences with frequent warnings, which helps ranch managers to adjust grazing strategies in a timely manner and optimize the use of ranch resources.

[0025] 2. By adopting the above technical solution, the ranch management system periodically collects the position coordinates of the target livestock and uses the least squares method to fit the motion trajectory equation, which can not only accurately obtain the instantaneous velocity vector of the target livestock, but also eliminate the impact of positioning errors. The ranch management system projects the instantaneous velocity vector to the normal direction of the electronic fence to obtain the approach speed. Combined with the directional angle analysis, it can fully reflect the approach of the target livestock to the electronic fence with frequent warnings. This motion parameter calculation method based on a mathematical model provides a reliable data basis for subsequent livestock behavior predictions, significantly improving the accuracy and timeliness of warnings.

[0026] 3. By adopting the above technical solutions, when the ranch management system detects that the livestock has triggered an early warning of entering the electronic fence, it will obtain its movement parameters and identify the behavioral state accordingly, thereby selecting the most suitable livestock interception strategy. This differentiated interception method significantly improves management efficiency. For example, a stronger interception force may be required for fast-running livestock, while a gentle guidance method can be used for slow-foraging livestock. By associating the behavioral characteristics of livestock with interception strategies, the ranch management system can take more targeted control measures, which not only ensures the effectiveness of interception, but also avoids unnecessary disturbance to livestock caused by excessive intervention, thus achieving scientific and humane livestock management. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of a livestock monitoring method based on an electronic fence in an embodiment of the present application; Figure 2 is another flow chart of the livestock monitoring method based on electronic fence in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of a physical device of the pasture management system in the embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0030] The following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of a livestock monitoring method based on electronic fence in an embodiment of the present application.

[0031] S101, determining a pasture management base map according to the coordinates of the pasture boundary points; Among them, pasture refers to a specific geographical area used for grazing and managing livestock, which can be grassland or pasture area, etc.; boundary point coordinates refer to the location information of the pasture boundary contour points expressed in longitude and latitude, for example (39.9042°N, 116.4074°E); pasture management base map refers to an electronic map based on the geographic information system and superimposed with pasture boundaries. It is the basic layer used for pasture management and monitoring, containing information such as terrain and vegetation.

[0032] Specifically, the pasture management system first obtains the latitude and longitude coordinates of multiple measured or marked pasture boundary points, and then uses the geographic information system to connect these boundary points in sequence to form a closed polygon, which is the pasture boundary. The pasture management system then superimposes the pasture boundary on an electronic map containing basic geographic information such as terrain and vegetation to form a pasture management base map with a clear management scope.

[0033] S102, adding multiple electronic fences and warning rules corresponding to each electronic fence in the pasture management base map, the warning rules including an alarm for livestock entering the fence or an alarm for livestock leaving the fence; Among them, the electronic fence refers to the virtual boundary line drawn on the pasture management base map, which is used to divide different management areas; the early warning rule refers to the set conditions for triggering the alarm, which is used to define when the early warning signal is issued; the livestock entering the fence alarm refers to the alarm triggered when livestock enters the electronic fence from outside the electronic fence; the livestock leaving the fence alarm refers to the alarm triggered when livestock moves from inside the electronic fence to outside the electronic fence.

[0034] After the pasture management system completes the drawing of the pasture management base map, it needs to plan the electronic fences and set the warning rules. Specifically, the pasture management system allows managers to add multiple electronic fences on the pasture management base map by clicking, drawing, etc. These electronic fences can be closed polygonal areas, which are used to divide different functional areas such as grazing areas, rest areas, and restricted areas. For each electronic fence, the pasture management system provides an early warning rule setting interface. Managers can choose whether to monitor livestock entering or leaving the electronic fence, and can set specific parameters for triggering conditions, such as residence time threshold, intrusion depth, etc. These electronic fences and early warning rules constitute the intelligent monitoring system of the pasture.

[0035] S103, collecting the longitude and latitude coordinates of the livestock through the smart collar, and determining whether the livestock triggers the warning rules according to the longitude and latitude coordinates; Among them, the smart collar refers to a smart device worn on the neck of livestock, which is used for real-time positioning of livestock and data collection; the longitude and latitude coordinates refer to the geographical coordinates of the livestock's location; and the triggering warning rules refer to the livestock's location or behavior meeting the pre-set alarm conditions.

[0036] After completing the deployment of the electronic fence, the ranch management system enters the continuous monitoring stage. Specifically, the ranch management system collects GPS positioning information in real time through the smart collar installed on the neck of the livestock to obtain the longitude and latitude coordinates of the livestock. The ranch management system compares these longitude and latitude coordinates with the coordinates of the pre-set electronic fence in real time, and calculates the positional relationship between the livestock and the electronic fence (such as the distance between the livestock and the electronic fence, whether the livestock is in the electronic fence, whether the livestock has left the electronic fence or whether the livestock has entered the electronic fence, etc.) to determine whether the livestock meets the triggering conditions of the early warning rules. When it is found that the longitude and latitude coordinates of the livestock meet the conditions defined in the early warning rules (such as entering the forbidden electronic fence or leaving the designated electronic fence), the ranch management system will determine that the livestock has triggered the early warning rules.

[0037] S104, when the livestock triggers the warning rule, recording the warning triggering position and the warning triggering frequency to determine the electronic fence with frequent warnings; Among them, the warning trigger location refers to the geographical location coordinates when the livestock triggers the warning rules; the warning trigger frequency refers to the number of times the warning occurs at the warning trigger location within a specific time period; the frequent warning electronic fence refers to the electronic fence area where the warning trigger frequency exceeds the preset number threshold; the warning rules are used to indicate the alarm conditions that need to be triggered when livestock enter or leave the electronic fence.

[0038] The ranch management system executes this step when it detects that livestock has triggered the warning rules of any electronic fence. Specifically, the ranch management system records the longitude and latitude coordinates of the livestock when the warning rule is triggered. At the same time, the ranch management system counts the total number of warning triggers in the surrounding area of ​​the location in the past preset time period (such as 24 hours), that is, the warning trigger frequency. When the warning trigger frequency of a certain warning trigger location exceeds the preset number threshold (such as 10 times / day), the ranch management system marks the warning trigger location as a warning-frequent electronic fence for subsequent key monitoring and warning.

[0039] S105. When it is detected that the target livestock enters the buffer zone of the frequent warning electronic fence, the approach speed and direction angle between the target livestock and the frequent warning electronic fence are calculated, where the target livestock is used to represent any one or more livestock, the approach speed is determined by the latitude and longitude coordinates of the target livestock, and the direction angle refers to the angle between the motion vector of the target livestock and the normal direction of the frequent warning electronic fence; Among them, the buffer zone refers to a certain range of areas outside or inside the warning-frequent electronic fence; the target livestock refers to one or more livestock individuals currently being monitored; the approach speed refers to the speed component of the target livestock moving toward the warning-frequent electronic fence; the motion vector refers to the direction and size of the target livestock's movement; the normal direction refers to the direction perpendicular to the boundary of the warning-frequent electronic fence; the direction angle refers to the angle between the target livestock's movement direction and the normal direction of the warning-frequent electronic fence.

[0040] During the real-time monitoring process, the ranch management system executes this step when it finds that livestock enters the buffer zone of the preset distance (such as 50 meters) of the frequent warning electronic fence. Specifically, the ranch management system continuously collects the position coordinates of the livestock and calculates its movement speed and direction. The ranch management system projects the movement speed in the normal direction of the frequent warning electronic fence to obtain the approach speed, and calculates the angle between the movement direction and the normal direction of the frequent warning electronic fence to obtain the direction angle. The ranch management system will consider the impact of environmental factors such as terrain and weather on the movement speed calculation, and can set different parameter thresholds according to the type of livestock.

[0041] Optionally, in general, when the target livestock is detected to enter the buffer zone of the frequent warning electronic fence, the calculation of the approach speed and direction angle between the target livestock and the frequent warning electronic fence can be achieved in the following way, which is not limited here: when the target livestock is detected to enter the buffer zone of the frequent warning electronic fence, the position coordinates of the target livestock are periodically obtained; based on multiple position coordinates, the motion trajectory equation of the target livestock is obtained by least squares fitting; according to the motion trajectory equation, the instantaneous velocity vector of the target livestock is calculated; the instantaneous velocity vector is projected to the normal direction of the frequent warning electronic fence to obtain the approach speed; the angle between the instantaneous velocity vector and the normal direction of the frequent warning electronic fence is calculated to obtain the direction angle.

[0042] The following is a specific example to illustrate this calculation process: (1) Assume that a cow enters the buffer zone of the frequent warning electronic fence (set to 50 meters outside the frequent warning electronic fence). The ranch management system collects its position coordinates every 2 seconds and collects 5 points in succession: t1=0s: (116.3842°E, 39.9943°N); t2=2s: (116.3843°E, 39.9944°N); t3=4s: (116.3844°E, 39.9946°N); t4=6s: (116.3845°E, 39.9947°N); t5=8s: (116.3847°E, 39.9949°N); (2) Convert these coordinate points into displacements relative to the starting point (unit: meter): (0, 0); (8.5, 11.1); (17.2, 33.3); (25.8, 44.4); (42.9, 66.7); The motion trajectory equation obtained by least squares fitting is: y=1.53x+0.82 (indicates that the cow's movement trajectory is approximately a straight line); (4) Calculate the cow’s speed based on the cow’s motion trajectory equation: Velocity: V = √ (5.36² + 8.20²) ≈ 9.8 m / s; Speed ​​direction: An angle of 57° with the east direction; Assuming that the normal direction of the frequent warning electronic fence is due north (90°), then: (5) Project the velocity vector to the normal direction: Approach speed = 9.8 × cos (90°-57°) ≈ 8.20 m / s; (6) Calculate the angle between the velocity vector and the normal direction: Direction angle = 90°-57°=33°; This indicates that the cow is moving at a speed of 8.20 m / s towards the electronic fence where the warning is frequently issued, and the angle between its movement direction and the normal line of the fence is 33°. Based on this data, the ranch management system can predict that if the cow maintains its current movement state, the fence warning will be triggered in about 6 seconds, so preventive measures need to be taken in advance.

[0043] S106, judging whether the target livestock triggers the high-frequency warning rule of the frequent warning electronic fence within a preset time period in the future according to the approach speed and direction angle; Among them, the future preset time refers to the predicted time range (such as 5 minutes); the high-frequency warning rules refer to the stricter warning rules set for areas with frequent warnings.

[0044] The ranch management system performs this step after obtaining the approach speed and direction angle of the livestock. Specifically, first, the ranch management system calculates the distance that the livestock may move within a preset time period in the future based on the approach speed, and decomposes the displacement components parallel and perpendicular to the frequent warning electronic fence in combination with the direction angle. Then, the ranch management system predicts the future movement trajectory of the livestock based on these displacement components and the current position. If the predicted future movement trajectory will cross the boundary of the frequent warning electronic fence or enter the frequent warning electronic fence within a preset time period in the future, the ranch management system determines that the high-frequency warning rule will be triggered. The ranch management system will dynamically adjust the prediction parameters according to different time periods and different weather conditions.

[0045] Optionally, in general, judging whether the target livestock will trigger the high-frequency warning rules of the electronic fence with frequent warnings within a preset time period in the future based on the approach speed and direction angle can be achieved in the following way, which is not limited here: taking the current position of the target livestock as the origin, determining the normal direction of the electronic fence with frequent warnings at the current position as the positive direction of the y-axis, and determining the direction parallel to the electronic fence with frequent warnings as the x-axis direction, and constructing a local coordinate system; based on the approach speed, decomposing the x-direction component velocity and the y-direction component velocity of the target livestock; determining the predicted x-direction displacement and the predicted y-direction displacement of the target livestock within a preset time period in the future based on the x-direction component velocity and the y-direction component velocity; judging whether the target livestock will trigger the high-frequency warning rules of the electronic fence with frequent warnings within a preset time period in the future based on the predicted x-direction displacement, the predicted y-direction displacement and the preset trigger warning conditions.

[0046] Continuing with the example of step S105, the speed of the cow is 9.8 m / s, and the angle between the cow and the due north direction (the normal direction of the electronic fence that issues frequent warnings) is 33 degrees.

[0047] (1) Establish a local coordinate system: With the cow's current position as the origin (0, 0), the y-axis points to the north (perpendicular to the fence), and the x-axis points to the east (parallel to the fence). (2) Decomposition speed: Component velocity in the y direction (approach velocity) = 9.8 × cos (33°) = 8.20 m / s; The x-direction velocity = 9.8 × sin (33°) = 5.36 m / s; (3) Assuming that the preset time in the future is 10 seconds, the high-frequency warning rule of the frequent warning electronic fence is that the cattle are less than 20 meters away from the frequent warning electronic fence; Calculate the predicted displacement within a preset time (10 seconds) in the future: Predicted displacement in y direction = 8.20 m / s × 10 s = 82 m; Predicted displacement in x direction = 5.36 m / s × 10 s = 53.6 m; (4) If the cow is currently 30 meters away from the high-frequency warning electronic fence, then in 10 seconds the cow will move 82 meters toward the fence and 53.6 meters in the parallel direction of the fence. Because 82 meters is much larger than the remaining safety distance of 30 meters, the ranch management system determines that the cow will trigger the high-frequency warning rule within 10 seconds, so preventive measures need to be taken immediately.

[0048] S107: If yes, activate the sound and light stimulation device of the target smart collar to guide the target livestock away from the electronic fence with frequent warnings.

[0049] Among them, the target smart collar refers to the intelligent monitoring equipment installed on the neck of the target livestock; the sound and light stimulation device refers to the component that can emit sound signals and light signals; guidance refers to prompting the target livestock to change the direction of movement through sound and light stimulation signals; and distance refers to the gradual increase in the distance between the target livestock and the electronic fence that frequently issues warnings.

[0050] The ranch management system performs this step when it predicts that livestock may trigger high-frequency warning rules. Specifically, first, the ranch management system selects appropriate sound and light stimulation schemes according to livestock types and environmental conditions, such as gentle prompt sounds or warning flashes. Then, the ranch management system sends control instructions to the smart collars worn by the target livestock through the wireless communication network to start the corresponding sound and light stimulation devices. The ranch management system monitors the livestock's response to sound and light stimulation in real time and automatically adjusts the stimulation intensity according to the degree of response. If it is found that the target livestock has not changed direction as expected, the stimulation intensity will be increased step by step or the stimulation method will be switched until the expected effect is achieved.

[0051] By adopting the above technical solutions and combining smart collars with electronic fences, the ranch management system can not only monitor the location of livestock in real time, but also predict their behavior trends by analyzing livestock movements. When the ranch management system predicts that livestock may trigger an electronic fence with frequent warnings, it will start the sound and light stimulation device of the smart collar in advance to guide the livestock away from the electronic fence with frequent warnings, thereby achieving preventive intervention in livestock behavior. This prediction-based active intervention method is more effective in preventing livestock from crossing the boundary than traditional passive alarms, greatly reducing management costs. At the same time, the ranch management system records the warning trigger location and warning trigger frequency, and can identify electronic fences with frequent warnings, which helps ranch managers to adjust grazing strategies in a timely manner and optimize the use of ranch resources.

[0052] The following is a more detailed description of the process of the method provided by this implementation. Figure 2 , is another flow chart of the livestock monitoring method based on electronic fence in an embodiment of the present application.

[0053] After step S103, the following steps may be performed or not performed, which is not limited here: S201. If livestock triggers the first warning rule of the first electronic fence, obtain the movement parameters of the livestock, the first warning rule is to alarm when the livestock enters the first electronic fence; based on the movement parameters, identify the behavior state of the livestock; according to the behavior state, select a corresponding livestock interception strategy.

[0054] Among them, the first electronic fence refers to the boundary of a specific area used to restrict the entry of livestock; the first warning rule refers to the alarm condition triggered when livestock enters the fence area from the outside; motion parameters refer to various indicators that describe the motion state of livestock, such as speed, acceleration, movement direction, etc.; behavioral state refers to the current behavior pattern of livestock judged based on motion parameters, such as strolling, running, being frightened, etc.; livestock interception strategy refers to a combination of methods selected according to different behavioral states to prevent livestock from moving forward, including sound and light warnings, electronic stimulation and other means.

[0055] The ranch management system executes this step when it detects that the livestock crosses into the first electronic fence. Specifically, first, the ranch management system collects the livestock's motion parameters through the smart collar, including movement speed, movement trajectory, acceleration change and other parameters. Then, the ranch management system inputs these motion parameters into a pre-trained behavior recognition model to determine the current behavior state of the livestock. For example, if high-speed continuous movement is detected, it may be determined as a running state, and if irregular rapid movement is detected, it may be determined as a frightened state. Based on the identified behavioral state, the ranch management system selects the corresponding livestock interception strategy from the preset strategy library. For example, for livestock that forage slowly, a gentle sound prompt may be selected; for livestock that run fast, a stronger combination of sound and light stimulation may be required. The ranch management system will monitor the interception effect in real time and dynamically adjust the strategy intensity.

[0056] The steps to build a deep learning-based behavior recognition model are as follows: First, the ranch management system collects the motion parameters corresponding to multiple livestock in the historical data, and determines the behavior states corresponding to multiple livestock through expert evaluation. The ranch management system stores the collected motion parameters and the behavior states corresponding to the motion parameters in the data set D, and the format of each data is (motion parameters, behavior states). Among them, the motion parameters are the input features of the model training, and the behavior states are the output features of the model training.

[0057] Then, the ranch management system constructs a LSTM-based recurrent neural network, which includes an input layer, two LSTM hidden layers, a fully connected layer, and an output layer. The input layer inputs motion parameters, the number of hidden layer nodes is set to 64, and the number of fully connected layer nodes is set to 32. The output layer outputs the behavior status.

[0058] Next, the ranch management system uses the Adam optimizer, the learning rate is set to 0.001, and the training batch size is 32. It can also be set according to the actual situation and is not limited here. 80% of the historical data is divided into a training set and 20% is divided into a validation set. 100 epochs are trained and the model with the highest accuracy of the validation set is saved. It can also be set according to the actual situation and is not limited here. Epoch is the process in which the training data set passes through the neural network once. In machine learning and deep learning, epoch is a unit used to measure the number of times the entire training set is repeatedly learned. Specifically, when the neural network completes a forward calculation and back propagation process, that is, all data has been processed by the network once, an epoch is completed. The ranch management system uses binary cross entropy as the loss function and Early Stopping to prevent overfitting. When the value of the loss function exceeds the preset function threshold, the model training is determined to be completed and the behavior recognition model is obtained. Early Stopping is a technology in deep learning and machine learning to prevent model overfitting. It determines when to stop training by monitoring the performance of the model on the validation set.

[0059] Finally, the ranch management system inputs the input features in the validation set into the behavior recognition model, and then obtains the predicted output of the behavior recognition model. The predicted output of the behavior recognition model is compared with the actual output features in the validation set, and some performance indicators such as accuracy, precision, recall, F1 score, mean square error (MSE), etc. are used to evaluate the performance of the behavior recognition model. According to the performance of the behavior recognition model on the validation set, the parameters of the behavior recognition model are adjusted, including adjusting the learning rate, changing the model complexity (such as increasing or decreasing the number of layers or nodes of the neural network), modifying the regularization strength, etc. This process may require multiple iterations, each adjustment based on the previous learning results to optimize the behavior recognition model.

[0060] S202. If the livestock triggers the second warning rule of the second electronic fence, obtain the physiological parameters of the livestock, and the second warning rule is to alarm when the livestock leaves the second electronic fence; determine the livestock's intention level of leaving the group according to the physiological state parameters; and execute the corresponding livestock recall strategy based on the intention level of leaving the group.

[0061] Among them, the second electronic fence refers to the boundary area used to limit the range of livestock activities; the second warning rule refers to the alarm condition triggered when the livestock leaves the fence area; physiological parameters refer to various indicators reflecting the physiological state of livestock, such as heart rate, body temperature, activity level, etc.; the level of outlier intention refers to the strength of the livestock's tendency to leave the group judged according to the physiological state, which is divided into different levels such as low, medium and high; the livestock recall strategy refers to a combination of methods selected according to different levels of outlier intention to guide livestock to return.

[0062] The ranch management system performs this step when it detects that the livestock has left the boundary of the second electronic fence. Specifically, first, the ranch management system collects the physiological parameters of the livestock through the physiological sensors on the smart collar, including heart rate changes, body temperature fluctuations, exercise intensity and other indicators. Then, the ranch management system compares and analyzes these physiological parameters with the historical normal values ​​of the livestock's physiological indicators, and comprehensively evaluates the livestock's physiological state in combination with environmental factors (such as weather, time, etc.). Based on the evaluation results, the ranch management system determines the level of the intention to leave the herd: if the physiological indicators are close to the normal range, it is judged as a low level, and if the physiological indicators are obviously abnormal, it is judged as a high level. According to different levels of intention to leave the herd, the ranch management system selects the corresponding livestock recall strategy: low levels may use simple sound guidance, medium levels may require sound and light combination induction, and high levels may require immediate notification of management personnel for manual intervention. The ranch management system will continue to monitor the return of livestock and adjust the intensity and method of the livestock recall strategy when necessary.

[0063] S203. If the livestock triggers the warning rule, the location information of the livestock is obtained; the location information is sent to the management personnel, and an audio-visual signal is emitted through the smart collar worn by the livestock.

[0064] Among them, early warning rules refer to pre-set conditions that need to trigger an alarm, including entering a restricted area, leaving an activity range, etc.; location information refers to the specific geographical location of the livestock, including longitude and latitude coordinates, terrain features, surrounding environment and other data; management personnel refers to the staff responsible for pasture supervision and emergency response; smart collars refer to intelligent monitoring equipment installed on the necks of livestock, which have functions such as positioning, communication, and sound and light alarms; sound and light signals refer to warning or guidance signals generated by light, sound, etc.

[0065] The ranch management system executes this step when it detects that any livestock has triggered an early warning rule. Specifically, first, the ranch management system obtains the precise location information of the livestock that triggered the early warning rule through the GPS module of the smart collar, and collects surrounding environmental information such as terrain features and vegetation coverage. The ranch management system pushes this location information together with the warning type, trigger time and other data to the manager's mobile terminal (such as mobile phone app, tablet computer, etc.) in real time through the mobile network. The push information contains a visual electronic map, marking key information such as the livestock's location, movement trajectory, and surrounding electronic fences. At the same time, the ranch management system sends a control command to the smart collar worn by the livestock that triggered the early warning rule to activate its sound and light alarm device. The type and intensity of the sound and light signal will be automatically adjusted according to the warning level. For example, a normal warning may only require a gentle prompt tone, while an emergency warning may require a strong combination of sound and light. The ranch management system will continue to track the changes in the location of the livestock until the warning is lifted or the manager confirms that the disposal is completed.

[0066] S204. When livestock triggers an early warning rule, record the early warning triggering position and the early warning triggering frequency to determine the electronic fence with frequent early warnings.

[0067] For details, please refer to step S104, which is not limited here.

[0068] S205: If the target warning triggering times of the target warning frequent electronic fence exceed the preset times, the grass coverage rate and grass quality information of the area where the target warning frequent electronic fence is located are obtained.

[0069] Among them, the target warning frequent electronic fence refers to any warning frequent electronic fence; the target warning trigger times refers to the cumulative number of warnings issued by the target warning frequent electronic fence; the preset times refers to the warning times threshold set by the pasture management system; the grass coverage rate refers to the percentage of grass covering the surface in the area where the target warning frequent electronic fence is located; the grass quality information refers to the nutritional value, growth conditions and other characteristic indicators of the grass.

[0070] The pasture management system executes this step when it detects that the target warning trigger times of a certain target warning frequent electronic fence exceed the preset times. Specifically, first, the pasture management system counts the target warning trigger times of the target warning frequent electronic fence within a specific time period (such as 24 hours). When the target warning trigger times exceed the preset times (such as 20 times a day), the regional assessment process is started. The pasture management system obtains the grass coverage of the area through satellite remote sensing data or ground sensor networks, including vegetation density, distribution uniformity and other data. At the same time, the pasture management system collects grass samples or evaluates the quality indicators of the grass such as nutritional content, growth status, and palatability through spectral analysis and other methods.

[0071] S206. Determine the activity patterns of livestock in the target warning frequent electronic fence area based on the longitude and latitude coordinates, forage coverage and forage quality information.

[0072] Among them, activity patterns refer to the behavioral patterns and movement characteristics of livestock in a specific area, including movement paths, stay time, activity frequency, etc.

[0073] The pasture management system performs this step after obtaining complete location data and forage information. Specifically, first, the pasture management system organizes the collected livestock location data in time series and constructs an activity trajectory map. Then, the pasture management system overlays the forage coverage and forage quality information on the activity trajectory map in the form of a heat map to form a comprehensive information layer. The pasture management system analyzes the correlation between livestock location and forage distribution through data mining algorithms and identifies several key features: (1) activity hotspots, that is, locations where livestock frequently stay, which usually overlap with high-quality forage distribution areas; (2) migration path patterns, including foraging routes, movement channels between resting areas, etc.; (3) time periodic characteristics, such as activity preference areas at different times. The pasture management system also conducts multi-dimensional analysis based on environmental factors (such as terrain and water sources) and time factors (such as seasonal changes and day and night changes) to establish a complete activity pattern model. This activity pattern model not only includes the activity range in the spatial dimension, but also includes the behavioral patterns in the temporal dimension and the degree of influence of forage factors on livestock behavior. All analysis results are visualized and stored as decision support data.

[0074] S207. Based on the activity pattern, adjust the shape of the target warning frequent electronic fence.

[0075] Among them, activity patterns refer to the characteristics of livestock behavior patterns analyzed by the pasture management system; fence shape refers to the spatial outline and boundary lines of the electronic fence; shape adjustment refers to the optimization and modification of the fence boundary based on the analysis results.

[0076] The pasture management system performs this step after completing the activity pattern analysis. Specifically, the pasture management system intelligently optimizes the shape of the electronic fence based on the identified livestock activity patterns and the distribution of forage. The optimization process takes multiple factors into consideration: first, ensure that the adjusted fence boundary avoids the main activity path of livestock; second, ensure that the fence range contains enough high-quality forage areas; and at the same time, consider the terrain conditions to ensure the rationality of the fence boundary. The pasture management system calculates the optimal fence shape through an algorithm, which may include specific adjustments such as expanding or reducing the range in a specific direction, adjusting the smoothness of the boundary curve, and increasing or decreasing the inflection point. After the adjustment is completed, the pasture management system will conduct a simulation verification to predict the impact of the new fence shape on livestock behavior to ensure that the adjustment effect meets expectations.

[0077] S208. When it is detected that the target livestock enters the buffer zone of the frequent warning electronic fence, the approach speed and direction angle between the target livestock and the frequent warning electronic fence are calculated. The target livestock is used to represent any one or more livestock. The approach speed is determined by the latitude and longitude coordinates of the target livestock. The direction angle refers to the angle between the motion vector of the target livestock and the normal direction of the frequent warning electronic fence.

[0078] For details, please refer to step S105, which is not limited here.

[0079] S209: judging whether the target livestock triggers the high-frequency warning rule of the frequent warning electronic fence within a preset time period in the future according to the approach speed and the direction angle.

[0080] For details, please refer to step S106, which is not limited here.

[0081] S210: If yes, activate the sound and light stimulation device of the target smart collar to guide the target livestock away from the electronic fence with frequent warnings.

[0082] For details, please refer to step S107, which is not limited here.

[0083] The following describes the pasture management system in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of the structure of a physical device of a pasture management system in an embodiment of the present application.

[0084] It should be noted that Figure 3 The structure of the farm management system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0085] like Figure 3 As shown, the ranch management system includes a CPU 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory ROM 302 or the program loaded from the storage part 308 to the random access memory RAM 303, such as executing the method described in the above embodiment. Various programs and data required for system operation are also stored in the RAM 303. The CPU 301, ROM 302 and RAM 303 are connected to each other through a bus 304. An I / O interface 305 is also connected to the bus 304.

[0086] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0087] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 309, and / or installed from the removable medium 311. When the computer program is executed by the CPU 301, various functions defined in the present invention are executed.

[0088] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0089] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0090] Specifically, the pasture management system of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the livestock monitoring method based on the electronic fence provided in the above embodiment is implemented.

[0091] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the pasture management system described in the above embodiment; or may exist independently without being assembled into the pasture management system. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the pasture management system, the pasture management system implements the livestock monitoring method based on electronic fence provided in the above embodiment.

[0092] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application 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 make equivalent replacements for some of the technical features therein. 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 application.

[0093] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0094] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A livestock monitoring method based on electronic fence, characterized in that: Applied to a pasture management system, the method comprises: Determine the pasture management base map based on the coordinates of the pasture boundary points; Adding a plurality of electronic fences and a warning rule corresponding to each of the electronic fences to the pasture management base map, wherein the warning rule includes an alarm for livestock entering the fence or an alarm for livestock leaving the fence; Collecting the longitude and latitude coordinates of the livestock through the smart collar, and judging whether the livestock triggers the warning rule according to the longitude and latitude coordinates; When the livestock triggers the warning rule, the warning triggering position and the warning triggering frequency are recorded to determine the electronic fence with frequent warnings; When it is detected that the target livestock enters the buffer zone of the frequent warning electronic fence, the approach speed and direction angle between the target livestock and the frequent warning electronic fence are calculated, wherein the target livestock is used to represent any one or more livestock, the approach speed is determined by the latitude and longitude coordinates of the target livestock, and the direction angle refers to the angle between the motion vector of the target livestock and the normal direction of the frequent warning electronic fence; According to the approach speed and the direction angle, determining whether the target livestock triggers the high-frequency warning rule of the frequent warning electronic fence within a preset time period in the future; If so, the sound and light stimulation device of the target smart collar is activated to guide the target livestock away from the frequently-warning electronic fence.

2. The method according to claim 1, characterized in that: When the target livestock is detected to enter the buffer zone of the frequent warning electronic fence, the approach speed and direction angle between the target livestock and the frequent warning electronic fence are calculated, specifically including: When it is detected that the target livestock enters the buffer zone of the frequent warning electronic fence, periodically acquiring the position coordinates of the target livestock; Based on the plurality of position coordinates, obtaining the motion trajectory equation of the target livestock by least squares fitting; Calculating the instantaneous velocity vector of the target livestock according to the motion trajectory equation; Projecting the instantaneous velocity vector to the normal direction of the frequent warning electronic fence to obtain the approach velocity; The angle between the instantaneous velocity vector and the normal direction of the frequent warning electronic fence is calculated to obtain the direction angle.

3. The method according to claim 1, characterized in that The step of judging whether the target livestock triggers the high-frequency warning rule of the frequent warning electronic fence within a preset time period in the future according to the approach speed and the direction angle specifically includes: Taking the current position of the target livestock as the origin, determining the normal direction of the frequent warning electronic fence at the current position as the positive direction of the y-axis, and determining the direction parallel to the frequent warning electronic fence as the x-axis direction, to construct a local coordinate system; Based on the approach speed, decomposing the x-direction component speed and the y-direction component speed of the target livestock; Determine the predicted x-direction displacement and the predicted y-direction displacement of the target livestock within the future preset time period according to the x-direction component velocity and the y-direction component velocity; According to the predicted displacement in the x direction, the predicted displacement in the y direction and the preset trigger warning condition, it is determined whether the target livestock triggers the high-frequency warning rule of the frequent warning electronic fence within a preset time period in the future.

4. The method according to claim 1, characterized in that After the step of collecting the longitude and latitude coordinates of the livestock through the smart collar and determining whether the livestock triggers the warning rule according to the longitude and latitude coordinates, the method further includes: If the livestock triggers a first warning rule of a first electronic fence, obtaining movement parameters of the livestock, wherein the first warning rule is to alarm when the livestock enters the first electronic fence; Based on the movement parameters, identifying the behavioral state of the livestock; According to the behavioral state, a corresponding livestock interception strategy is selected.

5. The method according to claim 4, characterized in that After the step of collecting the longitude and latitude coordinates of the livestock through the smart collar and determining whether the livestock triggers the warning rule according to the longitude and latitude coordinates, the method further includes: If the livestock triggers a second warning rule of a second electronic fence, obtaining physiological parameters of the livestock, wherein the second warning rule is to sound an alarm when the livestock leaves the second electronic fence; determining the level of the livestock's intention to leave the herd based on the physiological state parameters; Based on the outlier intent level, a corresponding livestock recall strategy is executed.

6. The method according to claim 1, characterized in that After the step of recording the warning triggering position and the warning triggering frequency when the livestock triggers the warning rule to determine the warning-frequent electronic fence, the method further includes: If the target warning triggering number of the target warning frequent electronic fence exceeds the preset number, the forage coverage rate and forage quality information of the area where the target warning frequent electronic fence is located are obtained; Determine the activity pattern of the livestock in the area where the target warning frequent electronic fence is located according to the latitude and longitude coordinates, the grass coverage rate and the grass quality information; Based on the activity pattern, the shape of the target warning frequent electronic fence is adjusted.

7. The method according to claim 1, characterized in that After the step of collecting the longitude and latitude coordinates of the livestock through the smart collar and determining whether the livestock triggers the warning rule according to the longitude and latitude coordinates, the method further includes: If the livestock triggers the warning rule, obtaining the location information of the livestock; The location information is sent to a manager, and an acoustic and optical signal is emitted through a smart collar worn by the livestock.

8. A pasture management system, characterized in that: The pasture management system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the pasture management system to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a farm management system, the farm management system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a farm management system, the farm management system is enabled to perform the method according to any one of claims 1 to 7.

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