A method, apparatus, equipment and storage medium for repelling animals

Abstract

This application discloses an animal deterrence method, apparatus, device, and storage medium, relating to the field of animal deterrence technology. The animal deterrence method includes monitoring an outer warning zone to determine if a target animal exists there; if the target animal is present in the outer warning zone, collecting individual information of the target animal through an information acquisition module; matching a corresponding deterrence plan to a pre-stored database based on the individual information; monitoring a central warning zone to determine if the target animal is present there; and if the target animal is within the central warning zone, activating a deterrence execution module to continuously execute the deterrence plan until the target animal leaves the central warning zone. This application, by detecting and collecting animal information, intelligently determines the deterrence plan, enabling more effective animal deterrence.

Description

Technical Field

[0001] This application relates to the field of animal deterrence technology, and in particular to an animal deterrence method, apparatus, equipment and storage medium. Background Technology

[0002] Animal deterrence technology is a technique used in the wild to drive away or prevent animals from entering a specific area through specific methods or equipment. This technology has wide applications in agricultural production, environmental protection, and ecological balance.

[0003] Most existing methods of animal deterrence rely on fixed-frequency ultrasound or flashlights. Ultrasonic deterrents use high-frequency sounds that animals are sensitive to but are outside the range of human hearing to disturb their normal behavior and drive them away from a specific area. Flashlights are typically used to deter animals that are sensitive to light; when an infrared sensor detects an animal approaching, it triggers a flashlight or other light source to frighten the animal.

[0004] However, due to the diversity of the wild environment and the uncertainty of animal movement, existing methods of driving away animals are difficult to generate targeted driving away strategies based on the actual animal species and animal behavior, resulting in unsatisfactory driving away effects and easy to cause property damage or personal injury. Summary of the Invention

[0005] The main purpose of this application is to provide an animal herding method, device, equipment and storage medium, which is designed to enable targeted herding based on the animal species.

[0006] To achieve the above objectives, this application proposes an animal herding method, which includes:

[0007] The outer perimeter warning zone is monitored to determine whether the target animal is present within it;

[0008] If the target animal is present in the outer perimeter warning zone, the individual information of the target animal is collected through the information collection module;

[0009] In the pre-stored database, a corresponding expulsion plan is matched based on the individual information;

[0010] The central warning zone is monitored to determine whether the target animal is present in the central warning zone;

[0011] When the target animal is within the central warning zone, the driving execution module is activated to continuously execute the driving plan until the target animal leaves the central warning zone.

[0012] In one embodiment, the information acquisition module includes an image acquisition module and a video acquisition module; the step of acquiring individual information of the target animal through the information acquisition module when the target animal is present in the outer warning zone includes:

[0013] The image acquisition module acquires image data of the target animal.

[0014] In the pre-stored database, species information corresponding to the target animal is obtained by matching the image data.

[0015] The first video data of the target animal is acquired by the image acquisition module. The first video data includes the time the target animal stayed in the outer warning zone and the calls of the target animal.

[0016] In the pre-stored database, the species information and the first video data are matched to obtain the first behavioral information corresponding to the target animal. The first behavioral information is one of the following: intrusive behavior information, invasive behavior information, and aggressive behavior information.

[0017] In one embodiment, the step of matching a corresponding expulsion plan based on the individual information in a pre-stored database includes:

[0018] The first preset expulsion scheme corresponding to the first behavior information is matched in the pre-stored database. The first preset expulsion scheme includes one of the following: a weak expulsion scheme corresponding to the intrusive behavior information, a medium-intensity expulsion scheme corresponding to the intrusive behavior information, and a high-intensity expulsion scheme corresponding to the aggressive behavior information.

[0019] Match a second preset driving-away scheme to the pre-stored database. The second preset driving-away scheme includes the weak-intensity driving-away scheme, the medium-intensity driving-away scheme, and one or more combinations of the high-intensity driving-away scheme.

[0020] In one embodiment, the step of continuously executing the deportation plan until the target animal leaves the central warning zone while the target animal is within the central warning zone includes:

[0021] The first preset expulsion plan will continue to be executed within the set time.

[0022] Collect second video data of the target animal, the second video data including the target animal’s activity path information and stay time in the central warning zone;

[0023] The second behavioral information of the target animal is matched based on the second video data. The second behavioral information includes false escape behavior information and real escape behavior information.

[0024] If the second behavioral information is the actual escape behavior information, then control the driving execution module and the information collection module to enter sleep mode.

[0025] In one embodiment, if the second behavioral information is false escape behavior information, the expulsion execution module cancels the execution of the first preset expulsion plan and continues to execute the second preset expulsion plan.

[0026] In one embodiment, the step of executing the deportation scheme to drive away the target animal when it is within the central warning zone includes:

[0027] The corresponding expulsion information is recorded in the pre-stored database. The expulsion information includes the species information of the target animal, the first behavior information, the second behavior information, the first preset scheme, and the second preset scheme.

[0028] In one embodiment, the weak-intensity deterrence scheme is configured such that the deterrence device emits a sound corresponding to the natural enemy of the target animal;

[0029] The medium-intensity repelling scheme is configured such that the repelling device emits ultrasonic waves within a set frequency range and the strobe device emits bright light within a set intensity range, wherein the set frequency range is the ultrasonic frequency range that is sensitive to the target animal, and the set intensity range is the light intensity range that is sensitive to the target animal.

[0030] The high-intensity expulsion scheme is configured such that the expulsion device performs a physical expulsion action.

[0031] Furthermore, to achieve the above objectives, this application also proposes an animal deterrent device, which includes:

[0032] The monitoring module is used to detect the outer and central warning zones to determine whether the target animal exists in the outer and central warning zones.

[0033] An information acquisition module is used to collect individual information about the target animal;

[0034] The database module is used to match the corresponding expulsion plan in the pre-stored database based on the individual information;

[0035] The driving-away execution module is used to execute the driving-away scheme to drive away the target animal.

[0036] In addition, to achieve the above objectives, this application also proposes an animal deterrent device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the animal deterrent method described above.

[0037] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the animal herding method described above are executed.

[0038] One or more technical solutions proposed in this application have at least the following technical effects:

[0039] Preventive surveillance: By monitoring the outer perimeter of the warning zone, target animals can be detected and identified before they enter the central warning zone, allowing for proactive action.

[0040] Individual identification: By using the information collection module to collect individual information of the target animal, such as body size and behavioral characteristics, different animals can be identified more accurately, and personalized herding plans can be developed for each animal.

[0041] Intelligent matching: By matching the collected individual information with data in a pre-stored database, the most suitable expulsion plan can be automatically selected, improving the targeting and efficiency of the expulsion.

[0042] Automatic response: When a target animal enters the central warning area, the system automatically wakes up the deflection module and executes the deflection plan without human intervention, saving labor costs.

[0043] Continuous driving away: The system will continuously execute the driving away plan until the target animal leaves the central warning area, ensuring the effectiveness of the driving away and reducing the harm to crops, property or people caused by the animal.

[0044] Data accumulation: By continuously collecting and storing individual animal information, a more comprehensive database can be established, providing data support for future herding strategies.

[0045] The animal herding method proposed in this application monitors the outer warning zone to determine if a target animal exists there. If the target animal is present in the outer warning zone, an information acquisition module collects the individual information of the target animal. A corresponding herding plan is matched to the individual information in a pre-stored database. The central warning zone is monitored to determine if the target animal is present there. If the target animal is within the central warning zone, a herding execution module is activated to continuously execute the herding plan until the target animal leaves the central warning zone. Through these steps, the animal herding method of this application can formulate a herding plan based on individual animal information, achieving precise herding of target animals. Furthermore, through intelligent identification and matching, it quickly determines and executes the herding plan, improving herding efficiency and saving labor costs. Attached Figure Description

[0046] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0047] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 This is a flowchart illustrating an embodiment of the animal herding method of this application.

[0049] Figure 2 This is a flowchart illustrating Embodiment 2 of the animal herding method of this application;

[0050] Figure 3 This is a flowchart illustrating Embodiment 3 of the animal herding method of this application;

[0051] Figure 4 This is a schematic diagram of the modular structure of the animal deterrent device according to an embodiment of this application;

[0052] Figure 5 This is a schematic diagram of the animal deterrent device according to an embodiment of this application.

[0053] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0054] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0055] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0056] This invention provides a method for driving away animals, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of an animal herding method according to the present invention.

[0057] In this embodiment, the animal driving method includes the following steps:

[0058] Step S10: Monitor the outer perimeter warning zone to determine whether the target animal exists within the outer perimeter warning zone;

[0059] It should be noted that the executing entity in this embodiment can be an animal deterrence device, which can be an animal deterrence apparatus or other equipment or controller that can control the animal deterrence apparatus. This embodiment does not limit this. In this embodiment and the following embodiments, the animal deterrence device is used as an example to illustrate the animal deterrence method of the present invention.

[0060] It should be noted that animal deterrence methods are technical means used to prevent animals from entering specific areas (such as farmland, airports, landfills, etc.). These methods aim to gently and effectively drive animals away from sensitive areas to protect crops, people's safety, or other property.

[0061] Additionally, it's important to note that the outer perimeter warning zone is an early warning area set up within the animal deterrence system. Its primary purpose is to detect and identify animals before they approach the protected area (such as farmland, airports, and residential areas). The outer perimeter warning zone provides a safety buffer zone for the protected area, helping to reduce the impact of animals on human activities and lowering the likelihood of animal-human conflicts. Within the outer perimeter warning zone, various infrared sensors and other devices can be used to detect animal activity, and these infrared sensors must be kept constantly active.

[0062] Step S20: If the target animal is present in the outer perimeter warning zone, collect the individual information of the target animal through the information collection module;

[0063] Understandably, once a target animal is detected in the outer perimeter of the warning zone, the information collection module will be activated to collect individual information about the target animal.

[0064] Step S30: In the pre-stored database, match the corresponding expulsion plan according to the individual information;

[0065] It's important to note that a pre-stored database is a crucial component of the animal herding system. It stores various herding schemes and related individual animal information. After the system acquires the target animal's individual information through the information collection module, it processes this information, extracting key features such as animal species, size, behavioral patterns, and historical activity records. The system then queries the pre-stored database based on this processed information to find a matching herding scheme. The database may contain multiple preset herding schemes, each designed for a specific animal species or behavioral characteristic. The system then outputs at least one herding scheme, selecting the optimal one based on preset priorities or evaluation criteria (considering herding effectiveness, cost, safety, humaneness, and environmental impact).

[0066] It's also worth noting that database queries typically rely on specific algorithms that compare the input individual information with the information stored in the database to find the most suitable repatriation strategy. Matching algorithms may include simple rule matching, fuzzy logic, machine learning models, or artificial intelligence algorithms.

[0067] Additionally, it's important to note that the database in an animal deterrence system can be either a local database or a networked AI agent. A local database, because its data is stored locally, allows for rapid querying and matching, ensuring real-time deterrence decisions. Even without a network connection, the system can still access the local database to match and execute deterrence plans. The AI ​​agent, storing data on a cloud server, offers greater storage space and more powerful data processing capabilities. It can update the database in real-time, including new deterrence plans, animal behavior patterns, and learned experiences. Furthermore, the AI ​​agent can use machine learning algorithms to continuously optimize deterrence plans and adjust strategies based on actual results. Both database models have their advantages, and the choice depends on the specific needs, budget, and technical conditions of the system. A local database is suitable for environments without a stable network connection, while a networked AI agent provides more advanced functions and intelligent decision-making capabilities. In practical applications, these two databases can complement each other; for example, a local database can store commonly used deterrence plans, while a networked AI agent can provide more complex and real-time data analysis.

[0068] Step S40: Monitor the central warning zone to determine whether the target animal exists in the central warning zone;

[0069] It should be noted that the central warning zone is another key area in the animal deterrence system, usually adjacent to the protected area. Its purpose is to protect high-value or sensitive areas from animal intrusion. Various sensors, such as infrared sensors, motion detectors, sound detectors, and cameras, can be deployed inside or around the central warning zone to detect animal activity in a timely manner.

[0070] Step S50: When the target animal is within the central warning zone, the driving execution module is activated to continuously execute the driving plan until the target animal leaves the central warning zone.

[0071] It should be noted that when the monitoring system in the central warning zone confirms the presence of the target animal, the system will automatically activate the deportation execution module to prepare for the deportation operation.

[0072] In addition, the deportation execution module will continue to execute the deportation plan until it receives a signal that the target animal has left the central warning area. In some cases, the deportation plan may be repeated or adjusted to ensure that the animal is effectively driven away. When the monitoring system of the central warning area confirms that the target animal has left the area, the deportation execution module will stop executing the deportation plan and record the relevant data of this deportation event.

[0073] This embodiment monitors the outer perimeter warning zone to determine if a target animal exists there. If the target animal is present, an information acquisition module collects its individual information. A corresponding herding plan is matched to the individual information in a pre-stored database. The central warning zone is monitored to determine if the target animal is present there. If the target animal is within the central warning zone, a herding execution module is activated to continuously execute the herding plan until the target animal leaves the central warning zone. Through these steps, the animal herding method of this application can formulate a herding plan based on individual animal information, achieving precise herding of target animals. Furthermore, through intelligent identification and matching, it quickly determines and executes the herding plan, improving herding efficiency and saving labor costs.

[0074] Furthermore, in order to effectively collect information about the target animal, please refer to... Figure 2 In this embodiment, the information acquisition module includes an image acquisition module and an video acquisition module; step S20 includes:

[0075] Step S21: Acquire image data of the target animal through the image acquisition module;

[0076] It should be noted that the image acquisition module is responsible for capturing image data of the target animal. High-resolution cameras can be installed at predetermined locations, including infrared cameras or thermal imaging cameras, to capture clear images during the day or night.

[0077] Step S22: In the pre-stored database, match the image data to obtain species information corresponding to the target animal;

[0078] It should be noted that the pre-stored database contains a large amount of animal species information and related image data, which is used to assist the system in identifying and classifying target animals entering the warning zone. Specifically, the system inputs the target animal image data captured by the image acquisition module into the pre-stored database. The system extracts animal features from the image data, such as body size, color, and texture, and compares them with the features of known animal species stored in the database. Specific algorithms, such as support vector machines (SVM), convolutional neural networks (CNN), or other machine learning models, are used to analyze the image features and match the most similar species information.

[0079] Step S23: Acquire first video data of the target animal through the image acquisition module. The first video data includes the time the target animal stayed in the outer warning zone and the calls of the target animal.

[0080] It should be noted that the image acquisition module includes one or more high-definition cameras capable of capturing real-time video of the target animal within the perimeter of the perimeter surveillance area. These cameras may be equipped with night vision capabilities to adapt to varying lighting conditions. The cameras record video data of the target animal, including its activities, movement paths, and areas of stillness. The video data is typically stored in digital format with timestamps for subsequent analysis and retrieval. The image acquisition module also includes microphones or sound capture devices for synchronously recording the target animal's vocalizations. This sound data is crucial for identifying animal species and behavioral patterns. The captured video and sound data are transmitted via wired or wireless networks to the system's processing center for further analysis and processing. The system uses the video data to analyze the target animal's behavior, such as whether it is searching for food or exhibiting aggression. This information helps determine the animal's intentions and potential risks. Sound recognition technology is used to distinguish different animal species or behavioral states; characteristics such as the pitch, frequency, and intensity of vocalizations can provide information about the animal's mood and health status.

[0081] Step S24: In the pre-stored database, the species information and the first video data are matched to obtain the first behavioral information corresponding to the target animal. The first behavioral information is one of the following: intrusive behavior information, invasive behavior information, and aggressive behavior information.

[0082] It should be noted that, taking large felines as an example, the analysis is based on the length of stay:

[0083] 1) Accidental entry behavior: Large felines may briefly linger in the outer perimeter of the warning zone in search of food or water before leaving;

[0084] 2) Invasive behavior: If a large feline lingers for an extended period in the outer perimeter of its guard zone, it may be searching for new habitat or prey.

[0085] 3) Aggressive behavior: If a large feline stays in the outer perimeter of the warning zone for a very short time, accompanied by loud noises or aggressive behavior, it may be in a state of anger and preparing to attack.

[0086] Analysis based on vocalizations:

[0087] 1) Accidental behavior: Large felines may emit deep vocalizations to indicate that they are curious or wary of their surroundings;

[0088] 2) Invasive behavior: Large felines may emit persistent vocalizations to indicate that they are exploring and attempting to claim new territory;

[0089] 3) Aggressive behavior: Large felines may emit loud calls or growls to indicate that they feel threatened or are preparing to attack.

[0090] Based on comprehensive analysis, the system integrates stay time and vocalization data, and uses machine learning algorithms (such as support vector machines, random forests, and neural networks) to train the data to establish the relationship between behavior type and stay time and vocalization. Using the trained model, the system analyzes new stay time and vocalization data to determine the behavior type of large felines, and then selects an appropriate dispersal strategy based on the determined behavior type.

[0091] Furthermore, in order to adopt different driving methods for different behavioral information, in this embodiment, step S30 includes:

[0092] Step S31: Match a first preset expulsion scheme corresponding to the first behavior information in the pre-stored database. The first preset expulsion scheme includes one of the following: a weak expulsion scheme corresponding to the intrusive behavior information, a medium-intensity expulsion scheme corresponding to the intrusive behavior information, and a high-intensity expulsion scheme corresponding to the aggressive behavior information.

[0093] It should be noted that the first preset driving away plan is a preliminary driving away measure designed for a specific type of animal behavior.

[0094] It should also be noted that the weak-intensity repelling plan corresponding to accidental intrusion behavior information is suitable for situations where animals accidentally enter the restricted area without obvious intent to invade; the medium-intensity repelling plan corresponding to intrusive behavior information is suitable for situations where animals continuously enter the restricted area, possibly attempting to occupy or search for food; and the high-intensity repelling plan corresponding to aggressive behavior information is suitable for situations where animals enter the restricted area and exhibit aggressive behavior, potentially posing a threat to people and property. Different types of target animal behavior require corresponding repelling measures of varying intensities, which not only effectively drive away the animals but also ensure the humaneness and environmental friendliness of the repelling process, saving resources.

[0095] Step S32: Match a second preset driving-away scheme in the pre-stored database. The second preset driving-away scheme includes the weak-intensity driving-away scheme, the medium-intensity driving-away scheme, and one or more combinations of the high-intensity driving-away scheme.

[0096] It should be noted that the second preset driving away plan is designed to address the possibility that animals may adapt to or tolerate the first preset driving away plan. In this case, the system will take stronger driving away measures or combine multiple driving away methods to enhance the driving away effect.

[0097] With a second preset deterrence plan, the system can quickly switch to more forceful deterrence measures when the first preset plan fails, or combine multiple deterrence methods to maximize animal expulsion and protect the safety of the central warning area. This flexible deterrence strategy helps improve the overall performance and efficiency of the animal deterrence system.

[0098] Furthermore, to improve the effectiveness of the expulsion, please refer to... Figure 3 In this embodiment, step S50 includes:

[0099] Step S51: Continuously execute the first preset driving-away plan within the set time;

[0100] It should be noted that the set time refers to a time limit set in an animal herding system for executing a herding plan. The length of the set time depends on a variety of factors, including the species of animal, its sensitivity to the herding stimulus, the intensity of the herding plan, and the goals of the system design. The length of the set time may vary to adapt to different application scenarios and needs.

[0101] In addition, setting a time helps improve system efficiency and avoids unnecessary shooing operations.

[0102] Step S52: Collect second video data of the target animal, the second video data including the target animal's activity path information and stay time within the central warning zone;

[0103] It should be noted that activity path information is data used in animal deterrence systems to describe the movement trajectory of target animals within a specific area. In the central warning zone, the system uses video analytics to acquire this information to help understand animal behavior patterns and deterrence effectiveness. Activity path information includes movement trajectory, speed, direction, and areas traversed.

[0104] By collecting activity path information, the system can gain a more comprehensive understanding of the target animal's behavior and activity patterns in the central warning zone, providing an important basis for adjusting the driving strategy.

[0105] Step S53: Match the second behavioral information of the target animal with the second video data, the second behavioral information including false escape behavior information and real escape behavior information;

[0106] It's important to clarify that pseudo-escape behavior refers to the target animal temporarily fleeing after being driven away, but subsequently remaining in the central warning zone. This behavior usually indicates that the animal has some adaptation or tolerance to the current driving stimulus, and therefore the driving strategy may need to be adjusted to enhance its effectiveness. True escape behavior, on the other hand, refers to the animal actually leaving the central warning zone after being driven away and not returning. This behavior indicates that the driving measures have effectively driven the animal away from the target area.

[0107] It's also important to note that determining whether an animal is engaging in genuine or feigned escape behavior requires a comprehensive analysis of its activity path and duration of stay. The following are methods for differentiating between these two behaviors using this information:

[0108] Activity path information analysis:

[0109] 1) Movement speed: Animals exhibiting genuine escape behavior usually leave the central warning zone at a relatively fast speed, while animals exhibiting false escape behavior may move at a slower speed or make several short movements.

[0110] 2) Direction of movement: Animals exhibiting genuine escape behavior will move away from the central warning zone, while animals exhibiting false escape behavior may turn back or change direction.

[0111] 3) Path length: Animals exhibiting genuine escape behavior will follow a relatively long path away from the central warning area, while animals exhibiting pseudo-escape behavior may follow a shorter path or return to the central warning area multiple times.

[0112] Duration of stay analysis:

[0113] 1) Duration of stay: Animals exhibiting genuine escape behavior stay in the central warning zone for a shorter period of time, while animals exhibiting pseudo-escape behavior may stay for a longer period of time.

[0114] 2) Frequency of stay: Animals exhibiting genuine escape behavior may stay in the central warning zone less frequently, while animals exhibiting pseudo-escape behavior may enter the central warning zone multiple times.

[0115] Overall assessment:

[0116] If the animal's movement path information shows that it leaves the central warning zone quickly and stays for a short time, it can be identified as a genuine escape attempt. If the animal's movement path information shows that it stays in the central warning zone for a longer time, or repeatedly turns back or changes direction, it can be identified as a false escape attempt. By comprehensively analyzing the movement path information and the time spent in the zone, the system can more accurately determine whether the animal is engaging in a genuine or false escape attempt, thereby adjusting the herding strategy to achieve the best herding effect.

[0117] Step S54: If the second behavior information is the actual escape behavior information, then control the driving execution module and the information collection module to enter the sleep mode.

[0118] It should be noted that when the second behavioral information matched from the second video data indicates that the animal is actually escaping—meaning the animal has left the central warning zone and will not return for an extended period—the system will take measures to conserve energy and avoid unnecessary interference. The system will automatically activate the deflection and information collection modules only when the target animal is detected again in the outer warning zone, restarting the information collection and deflection operations. This solves the problem of the deflection device continuously operating due to the inability to monitor the animal's trajectory in real time, resulting in wasted electricity and negative environmental impact.

[0119] The system can put the animal control and information collection modules into hibernation mode after the animal has actually left the central warning zone, thereby saving energy and reducing disturbance to the animal. At the same time, this mechanism also helps to improve the system's efficiency and humaneness.

[0120] In another embodiment, if the second behavioral information is a false escape behavior, the driving execution module cancels the execution of the first preset driving plan and continues to execute the second preset driving plan. In practical applications, if the second behavioral information indicates that the target animal is engaging in false escape behavior, i.e., the animal leaves the central warning area and then returns within a short period of time, the system needs to take stronger driving measures to prevent the animal from re-entering the central warning area. The driving execution module then begins to execute the second preset driving plan, continuously applying driving stimuli to the animal to enhance the driving effect.

[0121] Furthermore, considering that individual target animals may react differently, in this embodiment, step S50 is followed by:

[0122] Step S60: Record the corresponding expulsion information into the pre-stored database. The expulsion information includes the species information of the target animal, the first behavior information, the second behavior information, the first preset scheme, and the second preset scheme.

[0123] It should be noted that after executing the expulsion plan, the system collects information related to the expulsion event, including the target animal's species information, first behavioral information, second behavioral information, first preset plan, and second preset plan. The system integrates this information to form a complete expulsion event record. The system stores the integrated expulsion information in a pre-stored database for subsequent querying and analysis. The system updates the pre-stored database based on the expulsion information, including adding new expulsion plans, adjusting existing plans, or updating animal behavior information. The system uses the expulsion information for learning and optimization to improve future expulsion effectiveness.

[0124] Therefore, by recording expulsion information, the system can more accurately understand animal behavior patterns and the effectiveness of expulsion, thus providing important decision-making basis for adjusting expulsion strategies. This method helps improve the intelligence level of animal expulsion systems, enabling them to more effectively protect protected areas from animal intrusion. At the same time, recording expulsion information also helps reduce harm to animals and negative environmental impacts.

[0125] Furthermore, in this embodiment, the weak-intensity driving-off scheme is configured such that the driving-off device emits a sound corresponding to the natural enemy of the target animal;

[0126] It should be added that the low-intensity deterrence scheme drives away animals by simulating the sounds of predators to arouse their alertness and fear; that is, the deterrence device needs to be equipped with a generating module.

[0127] The medium-intensity deterrence scheme is configured such that the deterrence device emits ultrasonic waves within a set frequency range and the strobe device emits bright light within a set intensity range. The set frequency range is the ultrasonic frequency range that is sensitive to the target animal, and the set intensity range is the light intensity range that is sensitive to the target animal. The ultrasonic waves and bright light can cause discomfort to the animal, forcing it to leave the central warning zone.

[0128] It should be added that the common ultrasonic frequency ranges for animal deterrence are: deer: 20-25kHz, raccoon: 25-30kHz, hare: 30-35kHz, fox: 30-40kHz, squirrel: 25-35kHz, wildcat: 30-40kHz.

[0129] The high-intensity deportation scheme is configured such that the deportation device performs physical deportation actions. When the animal does not respond to other deportation measures or still poses a threat, physical deportation actions are used to drive it out of the central warning zone. The deportation device can be a mobile device such as a robot.

[0130] This application also provides an animal deterrent device, please refer to... Figure 4 The animal deterrent device includes:

[0131] Monitoring module 10 is used to detect the outer warning zone and the central warning zone to determine whether the target animal exists in the outer warning zone and the central warning zone;

[0132] Information acquisition module 20 is used to collect individual information of the target animal;

[0133] Database module 30 is used to match a corresponding expulsion plan in a pre-stored database based on the individual information;

[0134] The driving-away execution module 40 is used to execute the driving-away scheme to drive away the target animal.

[0135] The animal deterrence device provided in this application, which employs the animal deterrence method described in the above embodiments, can solve the technical problem that animal deterrence solutions lack specificity.

[0136] Compared with the prior art, the beneficial effects of the animal driving device provided in this application are the same as those of the animal driving method provided in the above embodiments, and other technical features of the animal driving device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0137] This application provides an animal deterrent device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the animal deterrent method in Embodiment 1 above.

[0138] The following is for reference. Figure 5The diagram illustrates a structural schematic suitable for implementing the animal deterrent device in the embodiments of this application. The animal deterrent device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The animal deterrent device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of this application.

[0139] like Figure 5 As shown, the animal deterrent device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.) that can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the animal deterrent device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 allows the animal deterrent device to communicate wirelessly or wiredly with other devices to exchange data. While the figures show animal deterrent devices with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0140] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0141] The animal deterrence device provided in this application, employing the animal deterrence method described in the above embodiments, can solve the technical problem of the lack of specificity in animal deterrence solutions. Compared with the prior art, the beneficial effects of the animal deterrence device provided in this application are the same as those of the animal deterrence method provided in the above embodiments, and other technical features of the animal deterrence device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0142] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0143] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0144] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the animal herding method in the above embodiments.

[0145] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0146] The aforementioned computer-readable storage medium may be included in the animal deterrence device; or it may exist independently and not assembled into the animal deterrence device.

[0147] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the animal deterrence device, cause the animal deterrence device to: monitor the outer warning zone to determine whether a target animal exists in the outer warning zone; if the target animal exists in the outer warning zone, collect individual information of the target animal through an information acquisition module; match a corresponding deterrence plan in a pre-stored database based on the individual information; monitor the central warning zone to determine whether the target animal exists in the central warning zone; and if the target animal is within the central warning zone, wake up the deterrence execution module to continuously execute the deterrence plan until the target animal leaves the central warning zone.

[0148] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0149] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0150] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0151] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described animal herding method, thereby solving the technical problem of the lack of specificity in animal herding solutions. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the animal herding method provided in the above embodiments, and will not be repeated here.

[0152] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method of animal deterrence, characterized by, The animal driving method comprises: monitoring a peripheral warning area to determine whether a target animal exists in the peripheral warning area; collecting individual information of the target animal by an information collection module if the target animal exists in the peripheral warning area; matching a corresponding driving scheme in a pre-stored database according to the individual information; monitoring a central warning area to determine whether the target animal exists in the central warning area; waking up a driving execution module to continuously execute the driving scheme until the target animal leaves the central warning area if the target animal is in the central warning area; the information collection module comprises an image collection module and a video collection module; the step of collecting individual information of the target animal by the information collection module if the target animal exists in the peripheral warning area comprises: collecting image data of the target animal by the image collection module; matching species information corresponding to the target animal in the pre-stored database according to the image data; collecting first video data of the target animal by the video collection module, the first video data comprising a stay time of the target animal in the peripheral warning area and a call of the target animal; matching first behavior information corresponding to the target animal in the pre-stored database according to the species information and the first video data, the first behavior information being one of misentry behavior information, invasion behavior information and attack behavior information; the step of matching a corresponding driving scheme in the pre-stored database according to the individual information comprises: matching a first preset driving scheme corresponding to the first behavior information in the pre-stored database, the first preset driving scheme comprising one of a weak-intensity driving scheme corresponding to the misentry behavior information, a medium-intensity driving scheme corresponding to the invasion behavior information and a high-intensity driving scheme corresponding to the attack behavior information; matching a second preset driving scheme in the pre-stored database, the second preset driving scheme comprising one or more of the weak-intensity driving scheme, the medium-intensity driving scheme and the high-intensity driving scheme; the step of continuously executing the driving scheme until the target animal leaves the central warning area if the target animal is in the central warning area comprises: continuously executing the first preset driving scheme within a set time; collecting second video data of the target animal, the second video data comprising activity path information and a stay time of the target animal in the central warning area; matching second behavior information of the target animal according to the second video data, the second behavior information comprising false escape behavior information and real escape behavior information; if the second behavior information is the real escape behavior information, controlling the driving execution module and the information collection module to enter a dormant mode.

2. The animal repelling method of claim 1, wherein, If the second behavior information is false escape behavior information, the driving execution module cancels the execution of the first preset driving scheme and continuously executes the second preset driving scheme.

3. The animal repelling method of claim 2, wherein, The step of executing the driving scheme to drive the target animal when the target animal is in the central alert zone further comprises: corresponding expulsion information is recorded in the pre-stored database, the expulsion information including the species information of the target animal, the first behavior information, the second behavior information, the first preset driving scheme and the second preset driving scheme.

4. The animal deterrent method of claim 1, wherein, The weak-intensity driving scheme is configured to drive the device to emit sounds corresponding to natural enemies of the target animal; The medium-intensity driving scheme is configured to drive the device to emit ultrasonic waves of a set frequency range and the flash device to emit bright light of a set intensity range, the set frequency range being a sensitive ultrasonic frequency range of the target animal, and the set intensity range being a sensitive light intensity range of the target animal; The high-intensity driving scheme is configured to drive the device to perform physical expulsion actions.

5. An animal repelling device, characterized in that The animal driving device for implementing the animal driving method according to any one of claims 1 to 4 comprises: a monitoring module configured to detect the peripheral alert zone and the central alert zone to determine whether the peripheral alert zone and the central alert zone have target animals; an information collection module configured to collect individual information of the target animals; a database module configured to match corresponding driving schemes in a pre-stored database according to the individual information; a driving execution module configured to execute the driving schemes to drive the target animals.

6. An animal repelling apparatus, characterized by The animal driving device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the animal driving method according to any one of claims 1 to 4.

7. A storage medium, characterized by The storage medium is a computer-readable storage medium, and the storage medium stores a computer program, the computer program being executable by a processor to implement the steps of the animal driving method according to any one of claims 1 to 4. The storage medium is a computer-readable storage medium, and the storage medium stores a computer program, the computer program being executable by a processor to implement the steps of the animal driving method according to any one of claims 1 to 4.

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