CN113080094B

CN113080094B - Pet companion method, pet companion device and computer equipment

Info

Publication number: CN113080094B
Application number: CN202010023437.2A
Authority: CN
Inventors: 吴凡
Original assignee: Guangdong Shunde Letsen Information Technology Co ltd
Current assignee: Guangdong Shunde Letsen Information Technology Co ltd
Priority date: 2020-01-09
Filing date: 2020-01-09
Publication date: 2023-02-10
Anticipated expiration: 2040-01-09
Also published as: CN113080094A

Abstract

The invention discloses a pet accompanying method, a pet accompanying device and computer equipment, wherein the pet accompanying method is applied to the computer equipment, and the method comprises the following steps: confirm the target amount of exercise of pet, form corresponding motion scheme according to the target amount of exercise, pet companion's robot carries out the interdynamic with the pet according to motion scheme, and the actual amount of exercise of pet wearing equipment record pet forms the feeding scheme according to the actual amount of exercise, and the pet is fed the device and is put in food according to the feeding scheme to this realizes that pet wearing equipment, pet companion's robot and pet feed the device linkage. By adopting the pet accompanying method, the pet accompanying device and the computer equipment, the moving target can be set, the actual motion amount of the pet can be detected, and scientific feeding can be carried out according to the actual motion amount of the pet, so that the pet accompanying method, the pet accompanying device and the computer equipment can scientifically help the user to realize the health management of the pet.

Description

Pet companion method, pet companion device and computer equipment

Technical Field

The invention relates to the technical field of computers, in particular to a pet accompanying method, a pet accompanying device and computer equipment.

Background

With the improvement of living standard of people, many families can raise pets, and most family members are busy in work, so that the pet feeding, interaction and accompanying cannot be considered comprehensively.

Therefore, robots capable of helping owners accompany pets are available in the market at present, the robots are generally provided with launching devices and feeding devices, toys such as balls and the like are launched mainly through the accompanying robot, and after the toys are placed back to the set positions of the accompanying robot, the feeding devices of the accompanying robot release foods, so that interaction with the pets can be achieved, and the purpose of accompanying the pets is achieved.

However, in actual use, such a product function is relatively single, which may cause a pet to be tired of the pet accompanying robot quickly in a single interactive manner, and when the pet accompanying robot puts food, the pet accompanying robot feeds the food according to the times, and cannot feed the food according to the actual movement amount of the pet, so that the pet may eat too much food, which may cause the pet to eat too much food and become fat, or the pet may eat too little food and become unsaturated and thin, which may cause various diseases of the pet, such as heart disease, arthritis, and the like.

Disclosure of Invention

The embodiments of the invention provide a pet accompanying method, a pet accompanying device and computer equipment, which are used for solving the problems that an accompanying robot in the related art has single function and cannot well combine the actual feeding of pets.

The technical scheme adopted by the invention is as follows:

according to an embodiment of the invention, the pet accompanying method is applied to computer equipment and comprises the following steps: confirming the target motion quantity of the pet; forming a corresponding motion scheme according to the target motion amount, and enabling the pet accompanying robot to interact with the pet according to the motion scheme; recording the actual amount of exercise of the pet by the pet wearing equipment; according to actual amount of exercise form the scheme of feeding, the pet is fed the device and is put in food according to the scheme of feeding.

According to another embodiment of the present invention, before confirming the target amount of movement of the pet, the method comprises: and setting the target motion quantity by the user and sending the target motion quantity to the server or recommending the target motion quantity according with the pet characteristics to the user by the server after the pet characteristics are uploaded by the user.

According to another embodiment of the invention, the pet accompanying robot forms a corresponding motion scheme according to the target motion amount, and the motion scheme comprises the following steps: determining an activity scene graph of the pet; and planning the activity path and the activity mode of the pet accompanying robot matched with the target motion quantity of the pet according to the activity scene graph, or setting the activity path of the pet accompanying robot in the activity scene by the user.

According to another embodiment of the present invention, the pet accompanying robot forms a corresponding motion scheme according to the target amount of motion, including: the pet accompanying robot attracts the pet according to a set mode, and corresponding movement is carried out according to the interaction of the pet until the movement amount of the pet meets the target movement amount.

In accordance with another embodiment of the present invention, a pet feeding device for delivering food according to a feeding regimen includes: the pet feeding device acquires a food list of stored food, wherein the food list comprises the type and energy of the food; and training a machine learning model to generate a pet feeding model, and forming a feeding scheme based on the pet feeding model and the actual motion amount to supplement energy consumed by the pet.

According to another embodiment of the present invention, a pet feeding device for feeding food according to a feeding scheme includes: the pet feeding device detects whether the residual amount of food after each feeding exceeds a preset value; if yes, taking the feeding scheme and the food residual amount as first sample data; and (4) carrying out the training of the pet feeding model again according to the first sample data to generate an updated pet feeding model.

According to another embodiment of the present invention, after the step of interacting with the pet according to the exercise program, the method further comprises: the pet wearing equipment acquires the actual amount of exercise of the pet and judges whether the difference between the actual amount of exercise of the pet and the target amount of exercise is within a preset range; when the difference between the actual motion amount and the target motion amount is higher than the preset range, the pet wearing equipment sends an instruction to the server, and the server controls the pet accompanying robot to work again until the difference between the actual motion amount and the target motion amount is lower than the preset range.

According to another embodiment of the present invention, after the step of interacting with the pet according to the athletic regimen, the method comprises: judging whether the pet continues to interact with the pet accompanying robot or not; if so, triggering the pet accompanying robot to continuously interact with the pet according to a set mode.

According to an embodiment of the invention, the pet accompany device is applied to computer equipment and comprises: the motion quantity confirming module is used for confirming the target motion quantity of the pet; the motion scheme forming module is used for forming a corresponding motion scheme according to the target motion amount, and the pet accompanying robot interacts with the pet according to the motion scheme; the motion amount recording module is used for recording the actual motion amount of the pet by the pet wearing equipment; the pet feeding module is used for forming a feeding scheme according to the actual motion amount, and the pet feeding device puts food according to the feeding scheme.

According to an embodiment of the present invention, a computer apparatus includes: a processor; and a memory having computer readable instructions stored thereon, the computer readable instructions when executed by the processor implementing the pet companion method as described above.

In the technical scheme, computer equipment confirms the target amount of exercise of pet, form corresponding motion scheme according to the target amount of exercise, pet companion robot carries out the interdynamic with the pet according to motion scheme, pet wearing equipment records the actual amount of exercise of pet, form the feeding scheme according to the actual amount of exercise, pet feeding device puts in food according to the feeding scheme, with this make pet companion robot and pet feeding device linkage, when guaranteeing the amount of exercise of pet, also can guarantee to put in food and can not appear too much or too little phenomenon, thereby solve the pet companion robot function singleness that exists among the prior art, can not help the user to realize the problem of the health management of pet.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

FIG. 1 is a schematic illustration of an implementation environment in accordance with the present invention.

Fig. 2 is a block diagram illustrating a hardware configuration of a computer device according to an example embodiment.

Fig. 3 is a flow chart illustrating a pet companion method according to an exemplary embodiment.

Fig. 4 is a flow chart of one embodiment of step 330 in the corresponding embodiment of fig. 3.

Fig. 5 is a diagram illustrating a planned pet athletic scenario in accordance with an exemplary embodiment.

Fig. 6 is a flow chart of step 330 in another embodiment of the corresponding embodiment of fig. 3.

Fig. 7 is a flow chart of step 330 in another embodiment of the corresponding embodiment of fig. 3.

Fig. 8 is a flow diagram of one embodiment of step 370 in the corresponding embodiment of fig. 3.

Fig. 9 is a flow chart of step 370 in another embodiment of the corresponding embodiment of fig. 3.

Fig. 10 is a block diagram illustrating a pet companion device according to an exemplary embodiment.

FIG. 11 is a block diagram illustrating a computer device in accordance with an example embodiment.

While specific embodiments of the invention have been shown by way of example in the drawings and will be described in detail hereinafter, such drawings and description are not intended to limit the scope of the inventive concepts in any way, but rather to explain the inventive concepts to those skilled in the art by reference to the particular embodiments.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.

Fig. 1 is a schematic diagram of an implementation environment involved in a pet companion method. The implementation environment includes the pet wearing apparatus 110, the pet accompanying robot 130, the pet feeding device 150, the server 170, and the terminal 190.

Wherein, pet wearing equipment wears on the pet body for monitor the health, the amount of exercise etc. of pet.

The pet accompanying robot is used for accompanying pets to perform corresponding activities according to instructions set by the user.

The pet feeding device is used for putting food to a pet, and can identify the pet so as to put specific food to the specific pet more accurately.

A server is an electronic device that provides background services to a user, including, for example, pet feeding services, pet body monitoring, and the like.

Of course, according to actual operation needs, a server cluster can be constructed by a plurality of servers, so that the pet feeding service is provided for a large number of users for feeding pets by the server cluster.

The terminal may be a desktop computer, a notebook computer, a tablet computer, a smart phone, or other electronic devices with a network connection function, which is not limited herein.

The server is connected with the pet feeding device, the pet wearing equipment and the terminal in advance through a wireless or wired network, and data transmission between the server and the pet feeding device, the pet wearing equipment, the pet accompanying robot and the terminal is achieved through the network connection. For example, the data transmitted includes: the state of motion of the pet to be fed, the exercise regimen, the feeding regimen, and the like.

Wherein, through the server respectively with the pet feed eat device, pet wearing equipment, pet accompany the robot, interact between the terminal, the server acquires the target amount of exercise that the user set up or forms the target amount of exercise according to the pet characteristic that receives, then forms corresponding motion scheme according to the target amount of exercise to send the motion scheme to pet accompany the robot, simultaneously, the server acquires the actual amount of exercise of pet, and form and feed the scheme, feed the scheme and send to pet and feed the device.

For the pet accompanying robot, after the motion scheme sent by the server is received, the pet accompanying robot can move according to the motion scheme to accompany the pet to move.

For the pet wearing equipment, the body condition of the pet is collected and monitored, and the actual movement amount of the pet is recorded.

For the pet feeding device, after receiving the feeding scheme sent by the server, the pet feeding device can put food to the pet to be fed according to the feeding scheme.

For the terminal, a user interactive interface may be provided for the user to set the target amount of motion, or a user interactive interface may be provided for the user to input pet characteristics, and so on.

Fig. 2 is a block diagram illustrating a hardware configuration of a computer device according to an example embodiment. Such a computer device is suitable for use in the server of the implementation environment shown in fig. 1.

It should be noted that this computer device is only one example adapted to the present invention and should not be considered as providing any limitation to the scope of use of the present invention. Nor should such a computer device be interpreted as having a need to rely on or have to have one or more components of the exemplary computer device 200 shown in fig. 2.

The hardware structure of the computer device 200 may be greatly different due to the difference of configuration or performance, as shown in fig. 2, the computer device 200 includes: a power supply 210, an interface 230, at least one memory 250, and at least one Central Processing Unit (CPU) 270.

Specifically, the power supply 210 is used to provide operating voltages for various hardware devices on the computer device 200.

The interface 230 includes at least one wired or wireless network interface for interacting with external devices. For example, the interaction between the pet food dispensing device 110 and the computer device 130 in the implementation environment shown in FIG. 1 is performed.

Of course, in other examples of the present invention, the interface 230 may further include at least one serial-to-parallel conversion interface 233, at least one input/output interface 235, at least one USB interface 237, etc., as shown in fig. 2, which is not limited herein.

The storage 250 is used as a carrier for resource storage, and may be a read-only memory, a random access memory, a magnetic disk or an optical disk, etc., and the resources stored thereon include an operating system 251, an application 253, data 255, etc., and the storage manner may be a transient storage or a permanent storage.

The operating system 251 is used for managing and controlling hardware devices and application programs 253 on the computer device 200, so as to implement the operation and processing of the mass data 255 in the memory 250 by the central processing unit 270, which may be Windows server, mac OS XTM, unix, linux, freeBSDTM, and the like.

The application 253 is a computer program that performs at least one specific task on top of the operating system 251, and may include at least one module (not shown in FIG. 2), each of which may contain a respective set of computer-readable instructions for the computer device 200. For example, the pet feeding device may be considered an application 253 deployed on the computer device 200.

The data 255 may be photographs, pictures, etc. stored in a disk, and may also be a pet feeding regimen, an exercise regimen, a pet feeding model, etc. stored in the memory 250.

The central processor 270 may include one or more processors and is configured to communicate with the memory 250 via at least one communication bus to read computer-readable instructions stored in the memory 250, and further to implement operations and processing on the mass data 255 in the memory 250. The pet companion method is accomplished, for example, by central processor 270 reading a series of computer readable instructions stored in memory 250.

Furthermore, the present invention can be implemented by hardware circuits or by a combination of hardware circuits and software, and thus, the implementation of the present invention is not limited to any specific hardware circuits, software, or a combination of both.

Referring to fig. 3, in an exemplary embodiment, a pet accompany method is applied to a computer device in the implementation environment shown in fig. 1, the computer device may be a personal computer, a server, or the like, and a hardware structure of the computer device may be as shown in fig. 2.

The pet feeding method can be executed by computer equipment, and can also be understood as being executed by a pet feeding device operated in the computer equipment. In the following method embodiments, for convenience of description, the execution subject of each step is described as a computer device, but the present invention is not limited thereto.

The pet companion method may include the steps of:

in step S310, the target quantity of motion of the pet is confirmed.

The target motion amount of the pet is related to the motion scheme of the pet accompanying robot, that is, the motion scheme of the pet can be determined according to the target motion amount of the pet.

The target amount of motion includes, but is not limited to: energy consumed by the pet, time taken for the pet to move, number of steps taken by the pet, speed of movement of the pet, and the like.

Aiming at the pets to be fed of the same variety, the target amount of exercise is large, and the exercise scheme is correspondingly suitable for designing larger amount of exercise; and if the target motion quantity is small, a motion scheme with less consumption is designed.

Alternatively, in the case where the target amount of motion of the pet to be fed is the same, if the characteristics of the pet to be fed are different, the motion profile will be also differentiated. For example, because of differences in body types, the designed movement scheme is different, the larger body type is more likely to consume, and the movement path in the movement scheme may be shortened.

The target quantity of motion of the pet can be obtained by uploading the pet characteristics to a server after the user sets the pet characteristics through a terminal, or the server recommends the target quantity of motion according with the pet to the user after the user uploads the pet characteristics.

And S330, forming a corresponding motion scheme according to the target motion amount, and enabling the pet accompanying robot to interact with the pet according to the motion scheme.

After the user confirms the target movement amount of the pet, the server forms a movement scheme corresponding to the target movement amount, and the user can directly use the pet or perform fine adjustment on the basis. Of course, the user can set the motion scheme of the pet by himself.

The movement scheme is also set according to the activity scene of the pet, that is, the movement track, the movement speed, the movement direction and the like of the pet accompanying robot need to be planned in the activity scene. Under different scenes, the motion scheme is different, for example, if at home, because furniture furnishings and room layout problems need to avoid the room and furniture obstacles, so that the pet accompanying robot can be prevented from normally running. Therefore, designing a motion scheme requires a situation that sufficiently considers the activity scene to be set.

And step S350, recording the actual movement amount of the pet by the pet wearing equipment.

The actual amount of exercise of the pet to be fed is monitored through the pet wearing equipment worn by the pet.

Specifically, the wearing device worn by the pet to be fed may include: temperature sensor, heart rate sensor, respiratory rate sensor, step-counting sensor, etc. Then, based on the wearable device worn by the pet to be fed, the following are collected: the body temperature, the heart beat frequency, the breathing frequency, the step number and the like of the pet to be fed are monitored, so that the motion state of the pet to be fed is monitored.

For the computer equipment, based on the configured sampling circuit, the body temperature, the heart rate, the breathing rate, the step number and the like of the pet to be fed can be obtained, and the motion quantity of the pet to be fed can be further estimated. For example, the number of steps of the pet to be fed is used as the amount of exercise of the pet to be fed, or the amount of exercise of the pet to be fed is estimated from the body temperature, the heart rate, and the respiratory rate of the pet to be fed.

And step S370, forming a feeding scheme according to the actual amount of exercise, and putting food into the pet feeding device according to the feeding scheme.

In this step, the feeding scheme may be preset by the user or the server, for example, the range of the actual amount of exercise is set to correspond to the feeding scheme, specifically, the actual amount of exercise is determined within what range, and then the feeding scheme is adapted to the corresponding feeding scheme.

In order to meet the requirements of the pet on differentiation and taste, the feeding of the pet can be controlled by the pet feeding model. The pet feeding model is generated by machine learning model training, and the essence of the pet feeding model is that a mathematical mapping curve is formed between the feeding information of the pet to be fed and the feeding amount of the pet to be fed. That is, the pet feeding model accurately describes the mathematical mapping relationship between the feeding information of the pet to be fed and the feeding amount of the pet to be fed through the mathematical mapping curve. Among them, machine learning models include but are not limited to: linear models, support vector machines, decision trees, neural networks, etc., which are not limited in this embodiment.

Therefore, after the actual motion amount of the pet to be fed is obtained, the feeding amount of the pet to be fed is predicted and obtained according to the actual motion amount of the pet to be fed and the mathematical mapping relation between the actual motion amount of the pet to be fed and the feeding amount of the pet to be fed, which is described by the pet feeding model.

To pet feeding device, after receiving the actual amount of exercise of pet, alright feed the model through the pet, obtain the volume of eating of waiting to feed the pet, and then according to this volume of eating to waiting to feed the pet and put in food.

Therefore, the pet feeding device is controlled through machine learning to feed food, feeding amount obtained by prediction is strictly followed, the feeding amount is closely related to feeding information such as actual motion amount and identity of a pet to be fed, namely, the pet feeding device feeds food according to actual conditions of the pet to be fed, so that the real requirement of food feeding is well controlled, the phenomenon that the fed food is too much or too little can not occur, and the problem that the pet feeding in the prior art is not scientific can be effectively solved.

In addition, the phenomenon of serious waste caused by feeding the pet can be effectively avoided by avoiding too much or too little food.

In an exemplary embodiment, step 310 may be preceded by the steps of:

and after the user sets the target motion amount and sends the target motion amount to the server or the user uploads the pet characteristics, the server recommends the target motion amount according with the pet characteristics to the user.

Specifically, the user may set a target amount of motion of the pet on an interactive interface of the terminal, where the target amount of motion may include: duration of exercise, period of exercise, energy consumed per exercise, etc. For example, the user may set the pet to move 3 times per week for 2 hours each time and consume 30 kilojoules each time.

If the user cannot determine which target motion amount of the pet is proper, the user can input pet attributes such as the variety, the weight and the age of the pet through an interactive interface of the terminal, and the server recommends the target motion amount to the user according to the pet attributes, wherein the target motion amount recommended by the server is also a result obtained by obtaining the target motion amount of the user and performing big data analysis.

Referring to fig. 4, in another exemplary embodiment, step 330 may include the following steps:

step 331: determining an activity scene graph of the pet.

The activity scenes of the pet can be various, the user can select the activity scene recommended by the terminal through the interactive interface of the terminal, specifically, the server stores general activity scenes for the family, such as activity scenes of gardens, vacant grounds, bedrooms, halls and the like, and then the activity scenes are pushed to the user through the interactive interface of the terminal, and the user can select the current activity scene of the pet in the interactive interface.

The user can also upload the activity scene graph by himself, for example, the user can upload a plan view of a home, a plan view of a garden, and the like, or after the user uploads a photo of the home, the server forms the activity scene graph according to the arrangement of the home.

Of course, the user can also design the activity scene graph through the interactive interface of the terminal to form the activity scene graph.

Step 332: and planning the activity path and the activity mode of the pet accompanying robot matched with the target motion quantity of the pet according to the activity scene graph, or setting the activity path of the pet accompanying robot in the activity scene by the user.

Referring to fig. 5, the server may plan a movement path and a movement manner of the pet accompanying robot according to the movement scene graph, specifically, for example, the movement scene graph uploaded by the user is an indoor plan view and is marked with an obstacle, and the server may plan a movement path according to a layout of an indoor space under the condition that the obstacle is avoided. As shown in fig. 5, the movement path is from point a to point B, then from point B to point C, and finally from point C back to point a, wherein the pet accompanying robot can be set to move at a constant speed of 0.5 m/s in the section from point a to point B, at point B to point C, at a speed of 1 m/s and at a stop every 2 m and then rotate for a set number of turns, and at point C to point a, it slows down again and moves slowly at a speed of 0.3 m/s.

In another exemplary embodiment, step 330 may further include the steps of:

the pet accompanying robot attracts the pet according to a set mode and performs corresponding movement according to the interaction of the pet until the movement amount of the pet meets the target movement amount.

In this step, the setting mode may be a sound and an optical mode, such as a sound for calling the name of the pet, an instruction for calling the pet, or music, and the like, and the optical mode may be a different lighting mode, such as a plurality of colored lights, to attract the pet.

In addition, pet accompanies robot has camera and sensor, can discern the pet with peripheral environmental conditions, simultaneously, pet accompanies robot can perceive the interdynamic of pet, for example can perceive the touching of pet, pet and be close to etc..

The pet companion robot has the binocular camera, can keep away the barrier based on the binocular camera, just so can guarantee with the interactive in-process of pet, can normal operating, not hindered by the barrier.

Referring to fig. 6, in an exemplary embodiment, step 330 may further include the following steps:

step 333: the pet wearing equipment acquires the actual amount of exercise of the pet, and judges whether the difference between the actual amount of exercise of the pet and the target amount of exercise is within a preset range.

For example, the difference between the preset range and the maximum movement amount is 50 calories, the target movement amount is 300 calories, but the difference between the actual movement amount of the pet and the maximum movement amount of the pet is 270 calories, and the difference between the actual movement amount of the pet and the maximum movement amount of the pet is 230 calories. This means that the actual amount of exercise of the pet does not meet the standard.

Step 335: when the difference between the actual motion amount and the target motion amount is higher than the preset range, the pet wearing equipment sends an instruction to the server, and the server controls the pet accompanying robot to work again until the difference between the actual motion amount and the target motion amount is lower than the preset range.

Because the actual amount of exercise of pet is not enough, consequently need to open pet companion robot again, pet companion robot resumes work after, continues to attract the pet motion until the difference of the actual amount of exercise of pet and target motion is in predetermineeing the range.

Referring to fig. 7, in an exemplary embodiment, step 330 may further include the following steps:

step 337: and judging whether the pet continues to interact with the pet accompanying robot or not.

In this embodiment, the pet probably continues to carry out the interdynamic with pet companion robot, and pet companion robot passes through the touching or being close to that sensor or camera can the perception pet, if the pet touches pet companion robot ceaselessly, then indicates that the pet has the desire of continuing to play, and the user can set up the free activity mode for pet companion robot can respond the interaction of pet.

Step 339: if so, triggering the pet accompanying robot to continuously interact with the pet according to a set mode.

Referring to fig. 8, in an exemplary embodiment, step 370 may include the steps of:

step 371: the pet feeding device obtains a food list of its stored food, the food list including the type and energy of the food.

In this embodiment, the food list may be pre-stored by the user, or the food list formed by the stored food may be identified by the pet feeding device in an identification manner, specifically, the pet feeding device photographs the stored food through the camera, identifies the type of the food, and acquires the energy corresponding to the food according to the type of the food, for example, if the pet feeding device identifies that the stored food is radish through the camera, the amount of heat corresponding to the radish is 16 kcal.

Through the food list, the heat of the food can be known, so that the feeding accuracy can be ensured, too much or too little food is prevented from being fed, and the serious waste phenomenon in the process of feeding the pet can be effectively avoided.

Step 372: and training a machine learning model to generate a pet feeding model, and forming a feeding scheme based on the pet feeding model and the actual motion amount to supplement the energy consumed by the pet.

As described above, the actual amount of exercise of the pet is obtained through the pet wearing device, for example, if the pet actually consumes 300 kcal of heat through exercise, about 30 kcal of food needs to be matched with the pet feeding device to supply to the pet, which needs to be matched according to the stored food, so as to form a feeding scheme according with the pet taste and the heat supply.

In this embodiment, the pet feeding model is generated based on neural network training. The pet feeding model at least comprises: input layer, several hidden layers and output layer.

Specifically, the input layer is responsible for inputting the actual amount of exercise to the pet feeding model; the hidden layer is used for carrying out feature extraction and feature connection on the actual motion quantity input to the pet feeding model; the output layer is responsible for prediction, namely calculating the probability of different feeding amounts, so that the pet feeding model finally outputs the feeding amount of the pet to be fed.

The initial characteristics are used for roughly describing the actual amount of movement of the pet to be fed in a digital form, so that the initial characteristics can be conveniently and fully connected through the hidden layer in the follow-up process.

Through the process, the feed amount prediction of the to-be-fed pet based on the pet feeding model is realized, so that the pet feeder can realize the food feeding according to the actual condition of the to-be-fed pet, the real demand of the food feeding is well controlled, the phenomenon that the fed food is too much or too little can not occur, and the problem that the pet feeding is not scientific enough in the prior art is effectively solved.

Referring to fig. 9, in an exemplary embodiment, step 370 may further include the steps of:

step S373: the pet feeding device detects whether the residual amount of food after feeding every time exceeds a preset value.

Because even a certain amount of food has been put into to pet feeding device, but do not necessarily accord with the taste of pet, so the pet probably can not all eat the food all can, so need detect the taste of pet through detecting the food surplus, reduce the proportion of surplus food kind and adjust the feeding scheme, can satisfy the diet demand of pet so more.

Step S374: and if the food residual quantity exceeds the preset value, taking the feeding scheme and the food residual quantity as first sample data.

Therefore, if the remaining amount of the food exceeds a predetermined value, for example, the weight of the food per feeding is 500g, and if 100g of the food remains after each feeding, it indicates that the taste of the food cannot meet the pet's requirement, and the feeding model needs to be readjusted. Specifically, the input layer is responsible for inputting the actual amount of exercise and the amount of residual food into the pet feeding model; the hidden layer is used for carrying out feature extraction and feature connection on the actual amount of exercise and the residual amount of food input to the pet feeding model; the output layer is responsible for prediction, namely calculating the probability of different types of food collocation, so that the pet feeding model finally outputs the feeding amount of the pet to be fed.

Step S375: and (4) carrying out the training of the pet feeding model again according to the first sample data to generate an updated pet feeding model.

In the process, the pet feeding model is updated in time according to actual conditions such as the residual quantity of food of the pet to be fed, so that the prediction capability of the pet feeding model is continuously enhanced along with the increase of sample data from different pet feeders, the prediction accuracy is fully guaranteed, the phenomenon of serious waste of the pet feeding is further avoided, and a feeding scheme according with the taste of the pet can be matched.

The foregoing is directed to embodiments of the present invention that may be used to implement the pet feeding methods of the present invention. For details not disclosed in the embodiments of the device of the present invention, reference is made to the embodiments of the method of feeding pets according to the present invention.

Referring to fig. 10, in an exemplary embodiment, a pet companion device 400 for a computer device, the pet feeding device 400 includes but is not limited to: an amount of exercise confirmation module 410, an exercise regimen creation module 430, an amount of exercise recording module 450, and a pet feeding module 470.

The motion amount confirming module 410 is used for confirming the target motion amount of the pet;

a motion scheme forming module 430, configured to form a corresponding motion scheme according to the target amount of motion, according to which the pet accompanying robot interacts with the pet;

the motion amount recording module 450 is used for recording the actual motion amount of the pet by the pet wearing equipment;

and the pet feeding module 470 is used for forming a feeding scheme according to the actual movement amount, and the pet feeding device puts food according to the feeding scheme.

It should be noted that, when the pet accompanying device provided in the above embodiment performs the pet accompanying function, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the pet accompanying device is divided into different functional modules to complete all or part of the above described functions.

In addition, the pet accompanying device provided by the above embodiment and the pet accompanying method embodiment belong to the same concept, wherein the specific manner of executing operations by each module has been described in detail in the method embodiment, and is not described again here.

Referring to fig. 11, in an exemplary embodiment, a computer device 1000 includes at least one processor 1001, at least one memory 1002, and at least one communication bus 1003.

Wherein the memory 1002 has computer readable instructions stored thereon, the processor 1001 reads the computer readable instructions stored in the memory 1002 through the communication bus 1003.

The computer readable instructions, when executed by the processor 1001, implement the pet accompanying method in the above embodiments.

In an exemplary embodiment, a storage medium has a computer program stored thereon, and the computer program realizes the pet accompanying method in the above embodiments when executed by a processor.

The invention has the beneficial effects that: through the linkage of pet wearing equipment, pet accompany robot and pet feeding device, can help the user to accompany the pet to the help pet carries out the motion realization set for when playing, detects the actual amount of exercise of pet, and carries out scientific feeding according to the actual amount of exercise of pet and eat, just so can help the user scientifically to realize the health management of pet.

The above-mentioned embodiments are merely preferred examples of the present invention, and are not intended to limit the embodiments of the present invention, and those skilled in the art can easily make various changes and modifications according to the main concept and spirit of the present invention, so that the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A pet companion method, wherein the method is applied to a computer device, and the method comprises:

confirming the target movement amount of the pet;

forming a corresponding motion scheme according to the target motion amount, and enabling the pet accompanying robot to interact with the pet according to the motion scheme;

recording the actual exercise amount of the pet by the pet wearing equipment;

forming a feeding scheme according to the actual amount of exercise, and putting food into the pet feeding device according to the feeding scheme;

before confirming the target movement amount of the pet, the method comprises the following steps: the method comprises the steps that a user sets a target motion amount and sends the target motion amount to a server or the server recommends the target motion amount according with pet characteristics to the user after the pet characteristics are uploaded by the user;

forming a corresponding motion scheme according to the target motion quantity, comprising:

determining an activity scene graph of the pet;

planning an activity path and an activity mode of the pet accompanying robot matched with the target motion quantity of the pet according to the activity scene graph, or setting the activity path of the pet accompanying robot in the activity scene by a user; or

the pet accompanying robot attracts the pet according to a set mode, and correspondingly moves according to the interaction of the pet until the motion amount of the pet meets the target motion amount;

the pet feeding device puts in food according to the scheme of feeding includes:

the pet feeding device acquires a food list of food stored by the pet feeding device, wherein the food list comprises the type and energy of the food;

training by a machine learning model to generate a pet feeding model, and forming a feeding scheme based on the pet feeding model and the actual amount of exercise to supplement energy consumed by the pet;

after the step of the pet accompanying robot interacting with the pet according to the motion scheme, the pet accompanying robot further comprises:

the pet wearable device acquires the actual motion amount of the pet, and judges whether the difference between the actual motion amount of the pet and the target motion amount is within a preset range;

when the difference between the actual motion amount and the target motion amount is higher than a preset range, the pet wearing equipment sends an instruction to a server, and the server controls the pet accompanying robot to work again until the difference between the actual motion amount and the target motion amount is lower than the preset range.

2. The method of claim 1, wherein the pet feeding device dispenses food according to the feeding regimen comprising:

the pet feeding device detects whether the residual amount of food after each feeding exceeds a preset value;

if yes, taking the feeding scheme and the food residual amount as first sample data;

and re-training the pet feeding model according to the first sample data to generate an updated pet feeding model.

3. The method of claim 1, wherein after the step of the pet companion robot interacting with the pet according to the motion profile, comprising:

judging whether the pet continues to interact with the pet accompanying robot or not;

if yes, the pet accompanying robot is triggered to continue to interact with the pet according to a set mode.

4. A pet accompanying device applied to a computer apparatus, the device implementing the pet accompanying method as claimed in any one of claims 1 to 3, comprising:

the motion amount confirmation module is used for confirming the target motion amount of the pet;

the motion scheme forming module is used for forming a corresponding motion scheme according to the target motion amount, and the pet accompanying robot interacts with the pet according to the motion scheme;

the motion amount recording module is used for recording the actual motion amount of the pet by the pet wearing equipment;

and the pet feeding module is used for forming a feeding scheme according to the actual motion amount, and the pet feeding device puts food according to the feeding scheme.

5. A computer device, comprising:

a processor; and

a memory having stored thereon computer readable instructions which, when executed by the processor, implement the pet companion method of any one of claims 1 to 3.