Pet feeding health monitoring system and method

Abstract

The invention belongs to the technical field of smart home, and provides a pet feeding health monitoring system and method. The method comprises the following steps: periodically acquiring first monitoring data of wearable equipment worn on a target pet, and analyzing whether the target pet has an abnormal trend according to the first monitoring data; if it is judged that the target pet has an abnormal trend, a plurality of pet devices are selected from the governable list, the pet devices are controlled to execute corresponding actions, second monitoring data of the wearable device in the action stage are obtained, and an auxiliary factor is obtained through evaluation based on the second monitoring data; and adjusting the abnormal trend by using the auxiliary factor to obtain an adjusted abnormal trend, and sending prompt information to a specified user terminal when the adjusted abnormal trend meets an abnormal condition. According to the invention, a user can be helped to remotely master the abnormal health condition of the pet in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home, and more particularly, to a pet feeding health monitoring system and method. Background Art

[0002] With the continuous improvement of people's living standards, the status of pets in the family has become increasingly important, and the health status of pets has also attracted much attention from their owners. Accurately and timely monitoring the health status of pets is of crucial significance for preventing diseases and improving the quality of life of pets. At present, common pet health monitoring methods mainly rely on the daily observations of pet owners. For example, owners initially judge whether a pet is healthy by observing the pet's mental state, diet, and the form of feces and urine. However, this method is highly subjective, and there are significant differences in the observation abilities and experiences of different owners, which easily lead to misjudgments or missed judgments of pet health problems. Some pet hospitals use regular physical examinations for health monitoring, including physical examinations, blood tests, urine tests, etc. However, physical examinations usually require pet owners to take their pets to the hospital, which is a cumbersome process, and the physical examination frequency is often low, making it impossible to achieve real-time and dynamic monitoring of the pet's health status. For some sudden diseases or changes in the condition, it is difficult to detect and intervene in a timely manner. Therefore, how to achieve convenient monitoring of the health status of pets, especially remote monitoring, is a technical problem that urgently needs to be solved at present. Summary of the Invention

[0003] In view of the above technical problems, the present invention provides a pet feeding health monitoring method, system, electronic device, computer storage medium, and computer program product.

[0004] The present invention discloses a pet feeding health monitoring method, the method comprising the following steps: Periodically obtaining first monitoring data of a wearable device worn on a target pet, and analyzing whether there is an abnormal trend of the target pet according to the first monitoring data; the first monitoring data includes first motion data and physiological index data; If it is determined that the target pet has an abnormal trend, then select several pet devices from a disposable list, control each of the pet devices to perform corresponding actions, and obtain second monitoring data of the wearable device at this action stage, and evaluate an auxiliary factor based on the second monitoring data; the second monitoring data includes second motion data; Using the auxiliary factor to adjust the abnormal trend to obtain an adjusted abnormal trend, and when the adjusted abnormal trend meets the abnormal condition, sending a prompt message to a specified user terminal.

[0005] The present invention also discloses a pet feeding health monitoring system, which includes a first communication module, an abnormal analysis module, and a second communication module; The first communication module is configured to periodically obtain first monitoring data of a wearable device worn on a target pet, and analyze whether there is an abnormal trend of the target pet according to the first monitoring data; the first monitoring data includes first motion data and physiological index data; The abnormal analysis module is configured to, if it is determined that the target pet has an abnormal trend, select several pet devices from a disposable list, control each of the pet devices to perform corresponding actions, and obtain second monitoring data of the wearable device at this action stage, and evaluate an auxiliary factor based on the second monitoring data; the second monitoring data includes second motion data; use the auxiliary factor to adjust the abnormal trend to obtain an adjusted abnormal trend; The second communication module is configured to send a prompt message to a specified user terminal when the adjusted abnormal trend meets an abnormal condition.

[0006] The present invention also discloses an electronic device, including: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, and the processor executes the computer program to implement the method as described in any one of the foregoing.

[0007] The present invention also discloses a computer storage medium, where the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method as described in any one of the foregoing.

[0008] The present invention also discloses a computer program product, which includes computer code, and when the computer code is executed by a processor of an electronic device, the method as described in any one of the foregoing is implemented.

[0009] The beneficial effects of the present invention are at least as follows: In the above solution of the present invention, by periodically obtaining the first monitoring data of the wearable device, the real-time and dynamic tracking of the pet's health status is realized, effectively overcoming the subjectivity and lag of traditional manual observation. When it is determined that there is an abnormal trend, the pet devices in the disposable list are used to collect the second monitoring data and obtain the auxiliary factor, which can more accurately evaluate the actual health status of the pet and avoid misjudgment. Finally, a prompt message is sent to the user terminal according to the adjusted abnormal trend, providing a convenient and timely health warning for the pet owner, greatly improving the comprehensiveness, accuracy and timeliness of pet health monitoring, helping to prevent pet diseases and ensuring pet health. Description of the Drawings

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0011] Figure 1 is a schematic flowchart of a pet feeding health monitoring method disclosed in an embodiment of the present invention; Figure 2 is a schematic diagram of the APP page of several artificially added pet devices disclosed in an embodiment of the present invention; Figure 3 is a schematic structural diagram of a pet feeding health monitoring system disclosed in an embodiment of the present invention. Detailed implementation manners

[0012] The following specific embodiments illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of them. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present application.

[0013] In addition, the technical features involved in different implementation manners of the present application described below can be combined with each other as long as they do not conflict with each other.

[0014] As Figure 1 shown, in response to the above technical problems, an embodiment of the present invention discloses a pet feeding health monitoring method, and the method includes the following steps: S1, periodically obtain the first monitoring data of the wearable device worn on the target pet, and analyze whether there is an abnormal trend of the target pet according to the first monitoring data; the first monitoring data includes first motion data and physiological index data.

[0015] The solution of the present invention is preferably implemented in the control device of the smart home system, such as classmate Xiao A, speaker Xiao D, etc. A variety of smart devices in the home (including a variety of pet devices) are connected to the control device via Bluetooth or wifi, so that the control device can obtain the relevant data of these smart devices and control them. At the same time, the control device can also communicate with a remote user terminal, and the user terminal is, for example, a smart phone, a tablet computer, a computer, etc. The user terminal can interact with the control device through the corresponding APP for data and instructions.

[0016] The control device can receive the first monitoring data of the pet from the wearable device worn by the pet at a preset interval (such as every 1 hour, every half hour, etc., and the specific interval time can be set according to the actual situation). The first monitoring data includes the first motion data, such as information on the pet's moving distance, number of steps, running time, etc., which can reflect the pet's daily activity level; it also includes physiological index data, such as heart rate, body temperature, respiratory rate, etc.

[0017] According to the preset abnormal determination conditions, the control device can judge whether there is an abnormal trend in the pet's physiological signs. For example, the body temperature of a healthy adult cat is usually in the range of 38°C to 39.2°C. If it is monitored that the body temperature of this pet cat reaches 40°C and there is no movement for a long time, it can be determined that this pet cat has an abnormal trend, such as a fever. There should be multiple abnormal determination conditions, covering various pathological abnormalities of different pets, and the specific ones are not limited.

[0018] S2. If it is determined that the target pet has an abnormal trend, then select several pet devices from the disposable list, control each of the pet devices to perform corresponding actions, and obtain the second monitoring data of the wearable device at this action stage, and evaluate the auxiliary factor based on the second monitoring data; the second monitoring data includes the second motion data.

[0019] As Figure 2 shown, the user manually adds a variety of pet devices to the device interface of the smart home system APP in advance to form a disposable list. Pet devices include pet feeders, interactive toys, etc. Pet feeders include conventional automatic feeders, catapult automatic feeders, etc., and interactive toys include pet balls, chewable dolls that can make sounds / glow, etc.

[0020] When it is determined that the pet has an abnormal trend, the control device selects at least one suitable pet device from the preset disposable list, and then controls these pet devices to perform actions to attract the pet's attention. At the same time, continue to obtain the second monitoring data of this pet at this action stage from the wearable device. Here, the second monitoring data refers to the second motion data of the pet. By analyzing the pet's response to the actions of the pet device, the corresponding auxiliary factor can be obtained, and this auxiliary factor is used to assist in analyzing the authenticity of the pet's abnormal trend.

[0021] For example, the selected pet device is an interactive toy, control it to start specific actions (such as glowing, vibrating, etc.). During the interaction between the pet and the toy, collecting the second motion data generated by the wearable device at this time can analyze the pet's movement changes during the interaction. These movement changes can be classified as positive responses (such as the pet has frequent chasing and jumping actions) or negative responses (such as the pet has no obvious movement changes, such as lying still). The corresponding auxiliary factor can be determined based on the second motion data.

[0022] S3. Use the auxiliary factor to adjust the abnormal trend to obtain an adjusted abnormal trend. When the adjusted abnormal trend meets the abnormal condition, send a prompt message to a specified user terminal.

[0023] Use the previously obtained auxiliary factor to correct the judged abnormal trend. For example, originally, it may be considered that there may be a health problem when it is judged from the first monitoring data that the pet's exercise activity level continues to decline and the physiological index is abnormal. However, considering the pet's positive performance (at this time, the auxiliary factor is a smaller value, such as 0.6) or negative performance (at this time, the auxiliary factor is a larger value, such as 1.2) when interacting with the interactive toy, re-evaluate and adjust the judgment of the abnormal trend, that is, obtain the adjusted abnormal trend. It can be understood that the abnormal trend in the present invention can be that the abnormal evaluation value is higher than the abnormal trend threshold but lower than the abnormal determination threshold, and the abnormal determination threshold is higher than the abnormal trend threshold.

[0024] If the adjusted abnormal trend reaches a preset abnormal condition (such as being higher than the abnormal determination threshold), the control device will send a prompt message to a preset user terminal (such as the pet owner's mobile phone, tablet computer, etc.), informing that the pet may have a health risk and reminding the owner to pay attention or take the pet to see a doctor. If the adjusted abnormal trend does not reach the preset abnormal condition (such as being higher than the abnormal determination threshold), it is determined that the target pet has no abnormality. For example, the target pet's body temperature detected by the wearable device is higher than the body temperature threshold because the pet is lying in the sun, rather than having a fever.

[0025] The above solution of the present invention realizes real-time and dynamic tracking of the pet's health status by periodically obtaining the first monitoring data of the wearable device, effectively overcoming the subjectivity and lag of traditional manual observation. When an abnormal trend is judged, collect the second monitoring data with the pet devices in the disposable list and obtain the auxiliary factor, which can more accurately evaluate the actual health status of the pet and avoid misjudgment. Finally, send a prompt message to the user terminal according to the adjusted abnormal trend, providing a convenient and timely health warning for the pet owner, greatly improving the comprehensiveness, accuracy and timeliness of pet health monitoring, helping to prevent pet diseases and ensuring the health of pets.

[0026] Optionally, the periodically obtaining the first monitoring data of the wearable device worn on the target pet includes: Monitor whether a health concern instruction for the target pet is received. If it is monitored, determine the first monitoring period according to the health concern instruction; if not, set the second monitoring period; wherein, the first monitoring period is shorter than the second monitoring period.

[0027] In this embodiment, the monitoring period of the control device for the target pet is divided into a regular monitoring period and an irregular monitoring period. Specifically, the control device determines whether it has received a health concern instruction from the relevant user for the target pet. The health concern instruction refers to an instruction manually input by the relevant user to the control device when the relevant user discovers or suspects that the target pet has a health abnormality.

[0028] When the control device monitors that the user issues a health concern instruction for the target pet, it means that the user is more worried about the current health status of the pet. Based on this, the control device determines a smaller first monitoring period according to the health concern instruction. For example, it monitors once every half hour, that is, obtains high-frequency monitoring data for the target pet to accurately and timely evaluate the health status of the pet.

[0029] When the control device does not monitor a health concern instruction, it indicates that the pet is in a relatively normal daily state and the frequency requirement for data monitoring is not so high. At this time, the system will set a larger second monitoring period (which can also be a fixed value). For example, it monitors once every 2 hours. This setting not only ensures continuous tracking of the pet's daily health status but also does not consume too much device power or generate a large amount of data storage pressure due to overly frequent monitoring, achieving reasonable resource utilization while meeting the basic monitoring requirements.

[0030] Optionally, determining the first monitoring period according to the health concern instruction includes: Screen out the health concern instructions in an effective state, count the number of instructions and the number of instruction sources of the health concern instructions, and match the first monitoring period according to the number of instructions and the number of instruction sources; wherein, both the number of instructions and the number of instruction sources are negatively correlated with the cycle duration of the first monitoring period.

[0031] In this embodiment, when the relevant user sends a health concern instruction to the control device, the effective duration or effective time interval of the instruction will be correspondingly set. If the health concern instruction exceeds the effective duration or is not within the effective time interval, it is determined that the health concern instruction has entered an invalid state. The control device no longer screens these health concern instructions in an invalid state.

[0032] Next, the control device counts the number of instructions and the number of instruction sources of the health concern instructions screened out and in an effective state. The number of instructions represents the total number of times the user issues a health concern instruction, while the number of instruction sources reflects the number of users who issue the instruction (these users include the pet owner and other family members of the pet owner, etc.). Then, based on the above two statistical data of the number of instructions and the number of instruction sources, the first monitoring period is matched. Among them, if the number of issued health concern instructions is larger and the number of different user sources for issuing instructions is larger, it indicates that users have a higher degree of concern for the health status of pets and urgently need to timely and frequently understand pet health information. At this time, the control device correspondingly sets the first monitoring period shorter. For example, if only one user issues 1 health concern instruction, the first monitoring period may be set to once an hour; but if 3 different users issue a total of 5 health concern instructions, the first monitoring period may be shortened to once every 10 minutes, so as to more intensively collect the first monitoring data of the pet and meet the user's need for closely monitoring the pet's health.

[0033] The cycle duration of the first monitoring period is represented in the form of a comparison table with the number of instructions and the number of instruction sources. For example, as shown in Table 1 below.

[0034] Table 1 Number of instructions Number of instruction sources Duration of the first monitoring period 1 1 1 hour 3 1 45 minutes 5 2 30 minutes 10 3 10 minutes Optionally, selecting several pet devices from the disposable list and controlling each of the pet devices to perform corresponding actions includes: Extracting the functional attributes of each pet device in the disposable list, and classifying each of the pet devices into a first type of pet device and a second type of pet device based on the functional attributes, where the first type of pet device is a pet device with interactive capabilities, and the second type of pet device is a pet device without interactive capabilities; Determining the corresponding interaction intensity of each pet device in the first type of pet device, determining the action intensity for each of the pet devices according to the interaction intensity, and sequentially controlling each of the pet devices to perform the action intensity in the order from high to low of the interaction intensity; the action intensity is negatively correlated with the interaction intensity.

[0035] In this embodiment, the control device analyzes the functional attributes of each pet device in the disposable list. For example, intelligent toys (such as devices that can emit light, make sounds, move and attract pet interaction), automatic cat teaser wands and other devices that can directly interact with pets will be classified into the first type of pet devices because they have the function of allowing pets to actively participate in interaction; and, although pet devices such as automatic feeders do not directly interact with pets, they still have moving parts inside. For example, the cat food agitator inside the automatic feeder makes sounds when it moves, and the pet cat can identify that cat food is being released based on this sound, thus achieving indirect interaction. However, pet devices such as litter boxes and pet beds mainly provide basic living needs for pets and do not have the function of triggering active pet interaction, so they are classified into the second type of pet devices.

[0036] For the first type of pet device with interactive capabilities, the control device further evaluates its interaction intensity. This evaluation can be pre-completed or completed at present based on the historical data of the pet device being used, and there is no limitation on this. For example, through statistical analysis of the historical data of the pet device being used, it is found that the total number of times and frequencies of the pet device A and the pet device B being used are significantly higher than those of the pet device C and the pet device D, which indicates that the target pet prefers to interact with the pet device A and the pet device B. Then, the interaction intensities of the pet device A and the pet device B are set higher than those of the pet device C and the pet device D.

[0037] Meanwhile, the working parameters of the pet device itself can also be considered to adjust the interaction intensity evaluated based on the historical data of being used. For example, for the interactive toy E that can launch small balls, if it can launch small balls at a high speed and with a high launch frequency, enabling the pet to maintain a high level of activity continuously, then its interaction intensity is relatively high; while a simple light-emitting toy F may only be able to attract the pet's brief attention occasionally, and its interaction intensity is relatively low. In addition, an evaluation model can be used to evaluate the working parameters of these first-type pet devices. Specifically, the working parameters of these first-type pet devices are obtained through appropriate channels (such as Internet resources), and a large language model (such as BERT) is used to analyze and evaluate its working parameters to obtain the corresponding adjustment coefficient, and this adjustment coefficient is used to adjust the interaction intensity evaluated based on the historical data of being used.

[0038] After determining the possible interaction intensities of each pet device for the target pet, the control device then sorts the first-type pet devices from high to low according to the interaction intensity. For the pet devices located at the front of the sorting queue, their action intensities are set lower than those of the pet devices located at the back of the sorting queue. Because for the first-type pet devices with higher interaction intensities, only slight actions are required to achieve the set attraction effect on the target pet, while for the first-type pet devices with lower interaction intensities, higher-intensity actions are required to achieve the set attraction effect on the target pet. Such a setting can enable different first-type pet devices to attract the attention of the target pet with as close an attraction effect as possible, and then analyze its second monitoring data.

[0039] It can be understood that the action intensity in the present invention has different meanings due to different pet devices, but multiple action intensity levels can be set for different types of pet devices, such as low, medium, and high levels. For the pet ball, the medium-level action intensity corresponds to medium-speed rotation and medium-frequency triggering; for the chewing doll, the high-level interaction intensity corresponds to fast flashing lights and high-frequency emission of interaction sounds.

[0040] Finally, the control device controls these first-class pet devices to execute their corresponding action intensities in order from high to low in terms of interaction intensity. In this way, the pet is first stimulated by the device with the strongest interactivity, and the pet's reaction is observed and relevant data is collected. Then, the devices with slightly lower interaction intensity are gradually activated to more comprehensively and accurately understand the pet's state under different stimuli, providing richer data support for subsequent health assessment. Additionally, these first-class pet devices can also be controlled to execute their corresponding action intensities in order from low to high.

[0041] Optionally, the auxiliary factor evaluated based on the second monitoring data includes: The second monitoring data includes multiple groups of second monitoring sub-data, and each group of the second monitoring sub-data corresponds to each pet device in the first-class pet devices respectively; A set of motion characteristics is respectively obtained from each of the second monitoring sub-data, and the motion sub-characteristics belonging to the same type in each group of motion characteristics are averaged to obtain the target motion characteristics; Response intensity analysis is performed based on the target motion characteristics, and the auxiliary factor is obtained by matching based on the analyzed response intensity.

[0042] In this embodiment, during the operation of each first-class pet device, a corresponding set of second monitoring sub-data is respectively collected, and a kind of motion characteristic can be obtained therefrom, including running speed, jumping height, turning frequency, etc. The same motion sub-characteristics in different groups of motion characteristics, such as running speed, are averaged respectively to obtain the target motion sub-characteristics, and then these target motion sub-characteristics are integrated into the target motion characteristics.

[0043] The control device evaluates the response intensity of the pet to the interaction stimulus of the first-class pet device based on the calculated target motion characteristics. For example, if the target motion characteristics show that the values of the pet's running speed, jumping height, etc. are high, it indicates that the pet responds actively to the interaction stimulus of the device and the response intensity is high; otherwise, the response intensity is low. Then, according to the analyzed response intensity, it is matched in a pre-set rule or model to find the corresponding auxiliary factor.

[0044] It can be understood that there is a negative correlation between the auxiliary factor and the response intensity, and this negative correlation relationship between the two can also be represented in the form of control data or conversion function, which will not be elaborated in this invention.

[0045] As Figure 3 shown, the embodiment of the present invention also discloses a pet feeding health monitoring system, and the system includes a first communication module, an anomaly analysis module, and a second communication module; The first communication module is used to periodically obtain the first monitoring data of the wearable device worn on the target pet, and analyze whether there is an abnormal trend of the target pet according to the first monitoring data; the first monitoring data includes first motion data and physiological index data; The abnormal analysis module is used to, if it is determined that the target pet has an abnormal trend, select several pet devices from the disposable list, control each of the pet devices to perform corresponding actions, and obtain the second monitoring data of the wearable device at this action stage, and evaluate and obtain an auxiliary factor based on the second monitoring data; the second monitoring data includes second motion data; use the auxiliary factor to adjust the abnormal trend to obtain an adjusted abnormal trend; The second communication module is used to send a prompt message to the specified user terminal when the adjusted abnormal trend meets the abnormal condition.

[0046] Optionally, the first communication module is used to: Monitor whether a health concern instruction for the target pet is received. If it is monitored, determine a first monitoring period according to the health concern instruction; if it is not monitored, set a second monitoring period; wherein, the first monitoring period is shorter than the second monitoring period.

[0047] Optionally, the first communication module is used to: Screen out the health concern instructions in the valid state, count the number of instructions and the number of instruction sources of the health concern instructions, and match the first monitoring period according to the number of instructions and the number of instruction sources; wherein, both the number of instructions and the number of instruction sources are negatively correlated with the cycle duration of the first monitoring period.

[0048] Optionally, the abnormal analysis module is used to: Extract the functional attributes of each pet device in the disposable list, and classify each pet device into a first type of pet device and a second type of pet device based on the functional attributes, wherein the first type of pet device is a pet device with interaction ability, and the second type of pet device is a pet device without interaction ability; Determine the corresponding interaction intensity of each pet device in the first type of pet device, determine the action intensity of each pet device according to the interaction intensity, and control each pet device to execute the action intensity in the order from high to low of the interaction intensity, and the action intensity changes from low to high.

[0049] Optionally, the abnormal analysis module is used to: The second monitoring data includes multiple groups of second monitoring sub-data, and each group of the second monitoring sub-data corresponds to each pet device in the first type of pet device respectively; A set of motion features is respectively obtained by extracting from each of the second monitoring sub-data, and the motion sub-features belonging to the same type in each group of motion features are averaged to obtain the target motion features. Based on the target motion features, response intensity analysis is performed, and the auxiliary factor is obtained by matching based on the analyzed response intensity.

[0050] An embodiment of the present invention also discloses an electronic device, including: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, and the processor executes the computer program to implement the method as described in the foregoing embodiment.

[0051] An embodiment of the present invention also discloses a computer storage medium storing a computer program, and the computer program is executed by a processor to implement the method as described in the foregoing embodiment.

[0052] An embodiment of the present invention also discloses a computer program product containing computer code, and when the computer code is executed by a processor of an electronic device, the method as described in the foregoing embodiment is implemented.

[0053] The above-mentioned computer storage medium includes, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the above. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include electrical connections based on 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 fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0054] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added, or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0055] The above specific embodiments do not constitute a limitation to the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A pet feeding health monitoring method, characterized in that: The method comprises the following steps: Periodically acquiring first monitoring data of a wearable device worn on a target pet, and analyzing whether the target pet has an abnormal trend according to the first monitoring data; the first monitoring data includes first motion data and physiological index data; If it is determined that the target pet has an abnormal trend, several pet devices are selected from the available list, each of the pet devices is controlled to perform a corresponding action, and the second monitoring data of the wearable device at this action stage is obtained, and the auxiliary factor is evaluated based on the second monitoring data; the second monitoring data includes second motion data; The auxiliary factor is used to adjust the abnormal trend to obtain an adjusted abnormal trend, and when the adjusted abnormal trend meets the abnormal condition, a prompt message is sent to a designated user terminal.

2. A pet feeding health monitoring method according to claim 1, characterized in that: The periodically acquiring first monitoring data of a wearable device worn on a target pet includes: Monitor whether health care instructions for the target pet are received. If detected, determine a first monitoring period based on the health care instructions; if not detected, set a second monitoring period; wherein the first monitoring period is shorter than the second monitoring period.

3. A pet feeding health monitoring method according to claim 1, characterized in that: Determining the first monitoring period according to the health concern instruction includes: Filter out the health concern instructions that are in a valid state, count the instruction number and instruction source number of the health concern instructions, and obtain the first monitoring period based on the matching of the instruction number and the instruction source number; wherein the instruction number and the instruction source number are both negatively correlated with the period length of the first monitoring period.

4. A pet feeding health monitoring method according to claim 1, characterized in that: The step of selecting a plurality of pet devices from the available list and controlling each of the pet devices to perform a corresponding action includes: Extracting functional attributes of each pet device in the disposable list, and classifying each pet device into a first category of pet devices and a second category of pet devices based on the functional attributes, wherein the first category of pet devices are pet devices with interactive capabilities, and the second category of pet devices are pet devices without interactive capabilities; Determine the interaction intensity corresponding to each pet device in the first category of pet devices, determine the action intensity for each pet device according to the interaction intensity, and control each pet device to execute the action intensity in sequence from high to low according to the interaction intensity; the action intensity is negatively correlated with the interaction intensity.

5. A pet feeding health monitoring method according to claim 4, characterized in that: The step of evaluating and obtaining the auxiliary factor based on the second monitoring data comprises: The second monitoring data includes a plurality of groups of second monitoring sub-data, each group of the second monitoring sub-data corresponds to each pet device in the first category of pet devices; Extracting a group of motion features from each of the second monitoring sub-data respectively, and calculating the mean of the motion sub-features of the same type in each group of motion features to obtain the target motion feature; A response intensity analysis is performed based on the target motion characteristics, and the auxiliary factor is obtained based on the response intensity matching obtained by the analysis.

6. A pet feeding health monitoring system, characterized in that: The system includes a first communication module, an abnormality analysis module, and a second communication module; The first communication module is used to periodically obtain first monitoring data of a wearable device worn on a target pet, and analyze whether the target pet has an abnormal trend according to the first monitoring data; the first monitoring data includes first motion data and physiological index data; The abnormality analysis module is used to select several pet devices from the available list if it is determined that the target pet has an abnormal trend, control each of the pet devices to perform a corresponding action, and obtain the second monitoring data of the wearable device at this action stage, and evaluate and obtain an auxiliary factor based on the second monitoring data; the second monitoring data includes second motion data; and use the auxiliary factor to adjust the abnormal trend to obtain an adjusted abnormal trend; The second communication module is used to send prompt information to a designated user terminal when the abnormal trend after adjustment meets the abnormal condition.

7. A pet feeding health monitoring system according to claim 6, characterized in that: The first communication module is used for: Monitor whether health care instructions for the target pet are received. If detected, determine a first monitoring period based on the health care instructions; if not detected, set a second monitoring period; wherein the first monitoring period is shorter than the second monitoring period.

8. An electronic device comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 5.

9. A computer storage medium storing a computer program, characterized in that: The computer program is executed by a processor to implement the method according to any one of claims 1 to 5.

10. A computer program product, characterized in that: The computer program product includes computer codes, and when the computer codes are executed by a processor of an electronic device, the method according to any one of claims 1 to 5 is implemented.

Images