Pet training method, device, and storage medium

Abstract

The application discloses a pet training method, a pet training device and a storage medium, and belongs to the technical field of pet protection. The method comprises the following steps: in a training mode of a pet, acquiring motion information of the pet; determining target motion information of the pet according to the training mode; determining a control parameter of a wearable device of the pet according to the motion information and the target motion information of the pet; and controlling the wearable device to operate according to the control parameter. The application aims to improve the training effect of training the pet by a user.

Description

Technical Field

[0001] This invention relates to the field of pet protection technology, and in particular to pet training methods, pet training equipment and storage media. Background Technology

[0002] As society develops, more and more people are keeping pets. In order to enable pets to adapt to the environment of being kept in the city, such as not rummaging through the trash during walks or barking at passersby, there is a need to train them during their growth.

[0003] Currently, pet training methods generally rely on manual training by users. However, manual training requires users to continuously supervise and remind their pets in a timely manner. If users are negligent and fail to remind their pets in time after a behavior, the pets will not be able to recognize the connection between the behavior and the reminder, thus affecting the training effect. Summary of the Invention

[0004] The main objective of this invention is to provide a pet training method, pet training equipment, and storage medium, which aim to improve the training effect of users training their pets.

[0005] To achieve the above objectives, the present invention provides a pet training method, which includes the following steps:

[0006] In the pet's training mode, acquire the pet's movement information;

[0007] The target movement information of the pet is determined according to the training mode, and the control parameters of the wearable device of the pet are determined according to the movement information and the target movement information of the pet.

[0008] The wearable device is controlled to operate according to the control parameters.

[0009] Optionally, the step of determining the control parameters of the pet's wearable device based on the motion information and the pet's target motion information includes:

[0010] When the motion information matches the target motion information, the first parameter is determined as the control parameter to allow the pet to move freely.

[0011] When the motion information and the target motion information do not match, the second parameter is determined as the control parameter to remind the pet to stop moving.

[0012] Optionally, after the step of controlling the operation of the wearable device according to the control parameters, the method further includes:

[0013] Obtain the number of control operations corresponding to the second parameter in the training mode;

[0014] The second parameter is adjusted according to the number of control cycles.

[0015] Optionally, the wearable device includes a pet harness, the second parameter includes tightening the pet harness with a target tightening force, and the step of adjusting the second parameter according to the number of control cycles includes:

[0016] When the number of control cycles exceeds a preset value, the target tightening force in the second parameter is increased;

[0017] When the number of control operations is less than or equal to the preset value, the target tightening force in the second parameter is reduced.

[0018] Optionally, after the step of increasing the target tightening force in the second parameter when the number of control operations exceeds a preset value, the method further includes: decreasing the preset value; or,

[0019] After the step of reducing the target tightening force in the second parameter when the number of control operations is less than or equal to the preset value, the method further includes: increasing the preset value.

[0020] Optionally, before the step of obtaining the pet's movement information in the pet's training mode, the method further includes:

[0021] Determine the training mode for the pet based on the current time;

[0022] The preset value and the target tightening force are determined according to the training mode, and different training modes correspond to different preset values ​​and target tightening forces.

[0023] Optionally, the wearable device includes a pet harness, the second parameter includes tightening the pet harness with a target tightening force, the pet harness further includes multiple components covering different parts of the pet, and the step of controlling the operation of the wearable device according to the control parameters includes:

[0024] When the control parameter is the second parameter, the target component of the pet harness is determined according to the training mode;

[0025] Control the target component to tighten with the target tightening force.

[0026] Optionally, the motion information includes the real-time distance between the pet and the control terminal of the wearable device and / or the pet's volume data, and the step of determining the pet's target motion information according to the training mode includes:

[0027] When the training mode is the first mode, the target motion information is determined to be that the real-time distance between the pet and the control terminal of the wearable device is less than or equal to a preset distance; and / or,

[0028] When the training mode is the second mode, the target motion information is determined to be that the volume data of the pet is less than or equal to a preset volume threshold.

[0029] In addition, to achieve the above objectives, this application also proposes a pet training device, which includes: a memory, a processor, and a pet training program stored in the memory and executable on the processor, the pet training program being configured to implement the steps of the pet training method as described in any of the preceding claims.

[0030] In addition, to achieve the above objectives, this application also proposes a storage medium storing a pet training program, which, when executed by a processor, implements the steps of the pet training method as described in any of the preceding claims.

[0031] This invention proposes a pet training method. This method acquires the pet's movement information during training, determines the pet's target movement information based on the training mode, and then determines the control parameters of a wearable device based on the movement information and the target movement information. The wearable device is then controlled according to these parameters, providing feedback to the pet's movement during training and thus training the pet's behavior. Compared to current pet training methods that rely on manual supervision and are easily affected by user negligence, this application monitors the pet's movement information during training and, when abnormal behavior is detected based on the movement information and target movement information, uses the wearable device to remind the pet, avoiding the failure to promptly remind the pet due to negligence and improving the pet's training effectiveness. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the hardware structure involved in the operation of an embodiment of the pet training device of the present invention;

[0033] Figure 2 This is a flowchart illustrating an embodiment of the pet training method of the present invention;

[0034] Figure 3 This is a flowchart illustrating another embodiment of the pet training method of the present invention;

[0035] Figure 4 This is a flowchart illustrating another embodiment of the pet training method of the present invention.

[0036] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0037] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0038] This invention provides a pet training device. For example... Figure 1 As shown, the pet training device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0039] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on pet training equipment. Pet training equipment may include more or fewer parts than shown, or combine certain parts, or have different arrangements of parts.

[0040] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include a pet training program. Figure 1 In the pet training device shown, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 can be used to call the pet training program stored in the memory 1005 and execute the steps of the pet training method provided in the embodiments of the present invention.

[0041] This invention also provides a pet training method. (See attached image.) Figure 2 This application proposes an embodiment of a pet training method. In this embodiment, the pet training method includes:

[0042] Step S10: In the pet's training mode, acquire the pet's movement information;

[0043] The method in this embodiment is applicable to scenarios where users train their pets, including but not limited to training pets to behave when going for walks, or training pets to eat and defecate indoors. For ease of explanation, this embodiment mainly uses the scenario of users training their pets indoors as an example.

[0044] Specifically, pet training equipment includes a user-held control terminal, and the pet also wears a wearable device. The type of control terminal and the breed of pet are not limited here. The wearable device is equipped with sensors to collect motion information. This motion information can include various types, such as the pet's real-time speed, real-time acceleration, real-time location, and real-time volume (pet growling volume). Corresponding sensors are configured in the wearable device to collect different types of motion information. Based on the collected motion information, the pet's current behavior can be determined. For example, real-time volume can be used to determine if the pet is growling, or the acceleration of different parts of the pet's body can be used to determine the pet's current action, and the pet's action can be used to determine if it intends to perform actions such as urination or defecation. Furthermore, the wearable device also has a wireless communication module that can establish a wireless communication connection with the user's control terminal and transmit the pet's motion information to the control terminal through this connection. When transmitting motion information, a message message of the corresponding format is generated according to the actual type of motion information collected, enabling the control terminal to distinguish between different types of motion information.

[0045] Training mode refers to the operating state of the control terminal when the user operates it to train the pet. There are various types of training modes, each targeting a specific behavior of the pet and having different training requirements. For example, there are modes to train the pet not to run around indoors and modes to train the pet not to bark indiscriminately. Multiple training modes can be activated simultaneously to train multiple behaviors of the pet at the same time.

[0046] Optionally, when the user operates the control terminal to enable the pet's training mode, the control terminal establishes a wireless connection with the wearable device on the corresponding pet. Based on this connection, the control terminal obtains the pet's movement information collected by the wearable device, thereby enabling the monitoring of the pet's behavior in the training mode.

[0047] Step S20: Determine the target movement information of the pet according to the training mode, and determine the control parameters of the wearable device of the pet according to the movement information and the target movement information of the pet;

[0048] Each training mode has corresponding target movement information. This target movement information is used to determine whether the movement information meets the training requirements of the corresponding training mode. When the movement information meets the target movement information, the pet's behavior is judged to meet the training requirements of the corresponding training mode; conversely, when the movement information does not meet the target movement information, the pet's behavior is judged to not meet the training requirements of the corresponding training mode. The target movement information for each training mode is preset. Users can also adjust the target movement information for each training mode using the control terminal, or add new training modes and set their corresponding target movement information.

[0049] The control parameters are used by the control terminal to control the wearable device. At the same time, the wearable device determines its operating status based on the control parameters. Depending on whether the motion information meets the target motion information, the control parameters have different values. The wearable device determines its operating status based on the value, so as to provide feedback to the pet based on whether the pet's current motion information meets the target motion information.

[0050] Step S30: Control the operation of the wearable device according to the control parameters.

[0051] In the wireless communication between the control terminal and the wearable device, the control terminal also sends control parameters to the wearable device. The wearable device determines its operating status based on the received control parameters, and thus operates in the corresponding operating status when the motion information does not meet the target motion information, so as to keep the pet free to move or remind the pet to stop moving through the wearable device.

[0052] It should be noted that a heartbeat connection is used between the control terminal and the wearable device to ensure a stable connection. Furthermore, the control terminal can send control parameters to the wearable device at preset intervals, or only when the control parameters change.

[0053] Furthermore, this embodiment does not limit the number of pets. For cases with more than one pet, each pet can wear a corresponding wearable device. While collecting motion information from each wearable device, the collected motion information is marked to distinguish that it comes from different wearable devices. In addition, different training modes can be applied to different pets. The motion information of different pets is compared with the target motion information of the corresponding training mode to determine the control parameters corresponding to the wearable device of each pet, thereby realizing the simultaneous training of different behaviors for different pets.

[0054] This invention proposes a pet training method. This method acquires the pet's movement information during training, determines the pet's target movement information based on the training mode, and then determines the control parameters of a wearable device based on the movement information and the target movement information. The wearable device is then controlled according to these parameters, providing feedback to the pet's movement during training mode, thereby training the pet's behavior. Compared to current pet training methods that rely on manual supervision and are easily affected by user negligence, this application monitors the pet's movement information during training mode and, when abnormal behavior is detected based on the movement information and target movement information, controls the wearable device to remind the pet, avoiding the failure to promptly remind the pet due to negligence and improving the pet's training effectiveness.

[0055] Furthermore, in this embodiment, the step of determining the control parameters of the pet's wearable device based on the motion information and the pet's target motion information includes:

[0056] When the motion information matches the target motion information, the first parameter is determined as the control parameter to allow the pet to move freely.

[0057] When the motion information and the target motion information do not match, the second parameter is determined as the control parameter to remind the pet to stop moving.

[0058] The wearable device operates in at least two states, corresponding to the pet's behavior meeting training requirements and the pet's behavior not meeting training requirements. Correspondingly, the control parameters include values ​​corresponding to these two states, namely, a first parameter and a second parameter. Therefore, when the motion information matches the target motion information, the pet's behavior is determined to meet training requirements, and the first parameter is designated as the control parameter. Conversely, when the motion information does not match the target motion information, the pet's behavior is determined to not meet training requirements, and the second parameter is designated as the control parameter. Once the control parameter is determined, the control terminal sends it to the wearable device to control its operation. Simultaneously, the wearable device also needs to receive this control parameter to determine whether to switch operating states. When the wearable device receives the first parameter, it operates in a state that allows the pet to move freely. When the wearable device receives the second parameter, it operates in a state that reminds the pet to stop moving, thus achieving the effect of reminding the pet when its behavior does not meet training requirements.

[0059] By determining whether the movement information matches the target movement information, the control parameters of the wearable device are determined. This enables the device to intelligently judge whether the pet is engaging in behaviors that do not meet training requirements based on the pet's real-time movement information, and to promptly remind the pet, thereby improving the intelligence and effectiveness of pet training for users.

[0060] Furthermore, in this embodiment, the motion information includes the real-time distance between the pet and the control terminal of the wearable device and / or the pet's volume data, and the step of determining the pet's target motion information according to the training mode includes:

[0061] When the training mode is the first mode, the target motion information is determined to be that the real-time distance between the pet and the control terminal of the wearable device is less than or equal to a preset distance; and / or,

[0062] When the training mode is the second mode, the target motion information is determined to be that the volume data of the pet is less than or equal to a preset volume threshold.

[0063] In this embodiment, the training mode includes a first mode and a second mode. Specifically, the first mode is used to train the pet not to stray more than a preset distance from the control terminal. In a real-world scenario, this could be training the pet not to leave the residential area. Therefore, the target movement information for the first mode is that the real-time distance between the pet and the control terminal is less than or equal to the preset distance. This real-time distance can be obtained by collecting the pet's real-time position and the position of the control terminal and calculating the distance between the two positions. Secondly, the second mode is used to train the pet not to bark randomly. By collecting the pet's volume data (barking volume) and setting a preset volume threshold as the barking volume threshold, the target movement information is determined to be that the volume data is less than or equal to the preset volume threshold, thereby determining whether the pet is barking randomly.

[0064] In other embodiments, the training mode may also include training modes for training other behaviors of the pet. For example, when the training mode is the third mode, the target motion information is determined to be that the real-time acceleration of the pet's preset limb is less than or equal to the acceleration threshold. This is equivalent to determining the action of the preset limb based on the real-time acceleration of the pet's preset limb, thereby judging the pet's overall action based on the action of the preset limb. The acceleration threshold can be determined based on the acceleration value of the preset limb when the pet performs the target action, so that the third mode can be used to determine whether the pet has performed the target action (e.g., excretion action).

[0065] By determining the corresponding target movement information in different training modes, different training modes can be used to train different pet behaviors, and intelligent judgment can be made as to whether the pet does not perform behaviors that do not meet the training requirements, thereby improving the flexibility of pet training for users.

[0066] Furthermore, based on the above embodiments, another embodiment of the pet training method of this application is proposed. In this embodiment, reference is made to... Figure 3 After the step of controlling the operation of the wearable device according to the control parameters, the method further includes:

[0067] Step S40: Obtain the number of control operations corresponding to the second parameter in the training mode;

[0068] The second parameter corresponds to the number of control counts, which is equivalent to the number of times the wearable device reminds the pet to stop moving. To record these control counts, the control terminal can monitor the number of times the control parameter changes from the first parameter to the second parameter, or record a control count each time the wearable device reminds the pet to stop moving. Simultaneously, control counts are recorded for different training modes, allowing for the assessment of the pet's training progress based on the control counts for different training modes. It should be noted that the control counts obtained in this embodiment are the control counts within a preset time period, such as the previous day. Taking the first training mode in the above embodiment as an example, this is equivalent to obtaining the number of times the pet was reminded due to moving further away from the control terminal than a preset distance during the previous day.

[0069] Step S50: Adjust the second parameter according to the number of control cycles.

[0070] Furthermore, besides setting the wearable device to remind the pet to stop moving, the second parameter also determines how to remind the pet to stop based on it. For example, if the wearable device is a pet harness, when the control parameter is the second parameter, the harness tightens to the target tightening force to remind the pet to stop moving. This is equivalent to the second parameter instructing the harness to tighten to the target force. Since the number of control cycles can characterize the pet's training progress within a preset time period, adjusting the second parameter based on the number of control cycles is equivalent to adjusting the target tightening force based on the pet's training progress within the preset time period. This could involve increasing the target tightening force, decreasing the target tightening force, or adjusting the target tightening force among multiple preset forces; no limitation is made here.

[0071] By acquiring the number of control attempts corresponding to the second parameter and adjusting the second parameter of the wearable device based on the number of control attempts, the feedback from the wearable device to the pet can be dynamically adjusted according to the pet's training status. By adjusting the feedback from the wearable device, the user can be encouraged to continue improving when the pet performs well and urged to improve when the pet performs poorly, thereby improving the training effect for the pet.

[0072] Furthermore, in this embodiment, the wearable device includes a pet harness, the second parameter includes tightening the pet harness with a target tightening force, and the step of adjusting the second parameter according to the number of control cycles includes:

[0073] When the number of control cycles exceeds a preset value, the target tightening force in the second parameter is increased;

[0074] When the number of control operations is less than or equal to the preset value, the target tightening force in the second parameter is reduced.

[0075] Specifically, the preset value is used to evaluate the number of control attempts. When the number of control attempts exceeds the preset value, the pet is reminded to stop acting more often within the preset time period, indicating poor training. Conversely, when the number of control attempts is less than or equal to the preset value, the pet is reminded to stop acting less often within the preset time period, indicating good training. For both scenarios, when the pet's training is poor, the target tightening force in the second parameter is increased, causing the harness to tighten with a greater target force. When the pet's training is good, the target tightening force in the second parameter is decreased, causing the harness to tighten with a smaller target force. This allows the feedback method of the pet harness to be adjusted according to the pet's training progress.

[0076] The target tightening force of the second parameter is recorded in the pet carrier. The control terminal only compares the number of control cycles with the preset value. Based on the comparison result, it sends an instruction to the pet carrier to increase or decrease the target tightening force. The pet carrier adjusts the recorded target tightening force accordingly based on the received instruction.

[0077] It should be noted that in this embodiment, the pet harness is tightened to a target tightening force to remind the pet to stop moving, rather than to force the pet to stop moving by restricting its limbs. Therefore, the main purpose is to remind the pet. Furthermore, when increasing or decreasing the target tightening force, adjustments are made in steps of a first preset amplitude, and the adjustments to the target tightening force are made within a preset range, with an upper and lower limit for the target tightening force.

[0078] By comparing the control parameters with preset values, a quantitative assessment of the pet's training status can be achieved. Based on the training status, the target tightening force of the second parameter can be increased or decreased, allowing the pet carrier to adjust its reminder effect on the pet according to the pet's training status, thereby improving the user's pet training effect.

[0079] Furthermore, in this embodiment, after the step of increasing the target tightening force in the second parameter when the number of control operations exceeds a preset value, the method further includes: decreasing the preset value; or,

[0080] After the step of reducing the target tightening force in the second parameter when the number of control operations is less than or equal to the preset value, the method further includes: increasing the preset value.

[0081] Furthermore, to dynamically adjust the feedback of the wearable device based on the pet's training progress, in addition to adjusting the target tightening force of the pet harness as mentioned above, the preset value used to assess the number of control repetitions can also be adjusted. Specifically, after determining that the pet's training performance is poor and increasing the target tightening force, decreasing the preset value is equivalent to making the standard for assessing the number of control repetitions more stringent. If the pet's training performance continues to be poor, the target tightening force will increase at an increasingly rapid rate. Conversely, after determining that the pet's training performance is good and decreasing the target tightening force, increasing the preset value is equivalent to making the standard for assessing the number of control repetitions more lenient. If the pet's training performance continues to be good, the target tightening force will gradually decrease and will be less likely to increase again. The preset value can be adjusted using a second preset increment.

[0082] By adjusting preset values, the feedback from the wearable device can be dynamically adjusted based on the training situation, as can the standards for evaluating the training situation. Ultimately, this makes the feedback adjustment of the wearable device more intelligent and improves the training effect for pets.

[0083] Furthermore, in this embodiment, before the step of obtaining the pet's movement information in the pet's training mode, the method further includes:

[0084] Determine the training mode for the pet based on the current time;

[0085] The preset value and the target tightening force are determined according to the training mode, and different training modes correspond to different preset values ​​and target tightening forces.

[0086] Specifically, since each training mode trains a specific behavior of the pet, and the control terminal can apply multiple training modes simultaneously, each training mode can be preset with its corresponding training time. The control terminal determines the training time and matching training mode based on the current time. For example, if the training time for the second mode, which trains the pet not to bark randomly, is set to 0:00 AM to 6:00 AM, then when the current time is between 0:00 AM and 6:00 AM, the control terminal will activate the second mode to train the pet not to bark randomly during this time period. This avoids conflicts in the judgment of target movement information between different training modes and also saves power consumption.

[0087] Meanwhile, different training modes correspond to different preset values ​​and target tightening intensities. After determining the training mode based on the current time, the preset values ​​and target tightening intensities corresponding to each training mode are determined according to the currently activated training mode. The above-mentioned adjustment methods for target tightening intensities and preset values ​​are also performed separately for different training modes. For example, the training mode simultaneously activates the first mode and the second mode. The first mode corresponds to a first preset value and a first intensity, and the second mode corresponds to a second preset value and a second intensity. When the pet harness needs to be tightened in the first mode, it is tightened with the first intensity, and when the pet harness needs to be tightened in the second mode, it is tightened with the second intensity. The two modes record the corresponding number of control operations. The first mode determines how to adjust the first intensity and the first preset value based on the first preset value and the corresponding number of control operations, and the second mode determines how to adjust the second intensity and the second preset value based on the second preset value and the corresponding number of control operations.

[0088] By making the preset values ​​and target tightening levels independent of each training mode, the feedback of each training mode can be dynamically adjusted based on the training situation, improving the training effect when training a pet to perform multiple behaviors simultaneously. Furthermore, determining the pet's training mode based on the current time allows for targeted training during the pet's normal daily activities, enhancing the intelligence of pet training.

[0089] Furthermore, based on the above embodiments, another embodiment of the pet training method of this application is proposed. In this embodiment, reference is made to... Figure 4 The wearable device includes a pet harness, the second parameter includes tightening the pet harness with a target tightening force, the pet harness also includes multiple components covering different parts of the pet, and the step of controlling the operation of the wearable device according to the control parameters includes:

[0090] Step S31: When the control parameter is the second parameter, determine the target component of the pet harness according to the training mode;

[0091] Specifically, a pet harness consists of a torso section and limb sections. The torso section is worn over the pet's torso, covering its chest, back, and / or abdomen. This section also houses a control unit that integrates a processor, sensors, and wireless communication modules. The limb sections are worn over the pet's limbs and connected to the torso section. The components of the limb section are also interconnected (one component per foot). The limb section may also include only two components for the forelimbs or hindlimbs. Sensors can also be configured in the limb section to collect various types of movement information. Depending on the type of pet, the pet harness can also have other designs; no specific style is limited here.

[0092] The target component is a specific part of the pet's torso and / or limbs in the aforementioned pet harness. Each training mode has its corresponding target component; for example, the target component for mode one is the limbs, and the target component for mode two is the torso. Since each training mode trains a specific behavior of the pet, and each behavior has a corresponding action—for example, the pet is running in mode one, and barking in mode two—identifying the target component for a specific behavior provides a better reminder effect, making the pet aware that the reminder is directed at that behavior.

[0093] Step S32: Control the target component to tighten with the target tightening force.

[0094] Optionally, after determining the target component, the control terminal sends an instruction to the pet harness to tighten the target component with a target tightening force. After receiving the instruction, the control device of the torso sends a control command to the corresponding target component to tighten the target component with the target tightening force. For example, when the target component is the torso, the torso is tightened with the target tightening force; when the target component is the limbs, the connection between the components of the limbs is tightened with the target tightening force.

[0095] To further enhance the alerting effect of tightening the target parts, the tightening force can be further adjusted using correction coefficients for different target parts. There are corresponding correction coefficients for the torso and limbs. Since the limbs are generally the main force exertion points for pets, the tightening force can be appropriately increased, for example, with a correction coefficient of 1.1. For the torso, which involves more vulnerable areas such as the abdomen or neck, the tightening force can be appropriately reduced, for example, with a correction coefficient of 0.8. Therefore, when the target part is the torso, a tightening force of 0.8 is applied, and when the target part is the limbs, a tightening force of 1.1 is applied.

[0096] By identifying the target part of the training pattern and controlling the tightening of the target part, it is possible to specifically remind the corresponding part in conjunction with the pet's actions, making it easier for the pet to realize the relevance between the current behavior and the reminder, thereby improving the training effect of the pet.

[0097] Furthermore, this embodiment of the invention also proposes a storage medium storing a pet training program, which, when executed by a processor, implements the relevant steps of any of the above embodiments of the pet training method.

[0098] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0099] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0100] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0101] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A pet training method, characterized in that, The pet training method includes the following steps: In the pet's training mode, acquire the pet's movement information; The target movement information of the pet is determined based on the training mode; When the motion information and the target motion information do not match, the second parameter is determined as a control parameter to remind the pet to stop moving; The wearable device is controlled to operate according to the control parameters, the wearable device including a pet harness, and the second parameter includes tightening the pet harness with a target tightening force; Obtain the number of control operations corresponding to the second parameter in the training mode; When the number of control operations exceeds a preset value, the target tightening force in the second parameter is increased, and the preset value is decreased. When the number of control operations is less than or equal to the preset value, the target tightening force in the second parameter is reduced, and the preset value is increased.

2. The pet training method as described in claim 1, characterized in that, After the step of determining the target movement information of the pet according to the training mode, the method further includes: When the motion information matches the target motion information, the first parameter is determined as the control parameter to allow the pet to move freely.

3. The pet training method as described in claim 1, characterized in that, Before the step of obtaining the pet's movement information in the pet's training mode, the method further includes: Determine the training mode for the pet based on the current time; The preset value and the target tightening force are determined according to the training mode, and different training modes correspond to different preset values ​​and target tightening forces.

4. The pet training method as described in claim 2 or 3, characterized in that, The pet harness also includes multiple components covering different parts of the pet, and the step of controlling the operation of the wearable device according to the control parameters includes: When the control parameter is the second parameter, the target component of the pet harness is determined according to the training mode; Control the target component to tighten with the target tightening force.

5. The pet training method according to any one of claims 1 to 3, characterized in that, The motion information includes the real-time distance between the pet and the control terminal of the wearable device and / or the pet's volume data. The step of determining the target motion information of the pet according to the training mode includes: When the training mode is the first mode, the target motion information is determined to be that the real-time distance between the pet and the control terminal of the wearable device is less than or equal to a preset distance; and / or, When the training mode is the second mode, the target motion information is determined to be that the volume data of the pet is less than or equal to a preset volume threshold.

6. A pet training device, characterized in that, The pet training device includes: a memory, a processor, and a pet training program stored in the memory and executable on the processor, the pet training program being configured to implement the steps of the pet training method as described in any one of claims 1 to 5.

7. A storage medium, characterized in that, The storage medium stores a pet training program, which, when executed by a processor, implements the steps of the pet training method as described in any one of claims 1 to 5.

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