Method for regulating pet excretion behavior, related devices and computer program product
By using multimodal sensors and environmental sensing units on pet collars to identify a pet's defecation intentions and output measures to stop it, the problem of pets defecating indiscriminately in new environments is solved, thus protecting environmental hygiene.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HEFEI IFLYTEK TOYCLOUD TECH
- Filing Date
- 2026-03-31
- Publication Date
- 2026-06-12
AI Technical Summary
Existing pet collars have limited functionality and cannot effectively regulate pets' excretion behavior in new environments, leading to environmental pollution problems.
The system collects physiological and behavioral data of pets using multimodal sensors on their collars. Combined with environmental sensing units, it identifies the pet's defecation intentions and outputs measures to stop the pet's undesirable defecation behavior near the prohibited area.
Accurately identify pets' defecation intentions, reduce pets' defecation behavior near prohibited areas, protect environmental hygiene, and avoid unnecessary stoppage measures.
Smart Images
Figure CN122196924A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of pet intelligent device technology, and more specifically, to a method, related equipment and computer program product for regulating pet excretion behavior. Background Technology
[0002] Pets are animals kept by people for emotional or psychological reasons, rather than for economic purposes. A pet collar is a specialized device used to protect, control, and leash a pet.
[0003] With the development of technology, some pet collars are also used to identify pets. In modern cities, some pet owners buy pet collars (pet tags) to help them locate their pets and to allow others to contact the owner if the pet gets lost. Some cities also require pet owners to purchase pet collars for easier pet management.
[0004] Existing pet collar designs are relatively simple, often only recording partial information about the pet and its owner, such as the owner's name, address, and contact information. These collars are too limited in function and offer very little help to owners. In the early stages of pet adoption, such as the first month or two after bringing a pet home, the pet is in a new environment. At this time, the owner hasn't yet trained the pet to relieve itself in designated areas. During this period, pets tend to leave their mark throughout the house, such as urinating and defecating everywhere, and some even like to defecate on the bed and sofa, severely soiling blankets, sheets, and other items. Summary of the Invention
[0005] In view of the above problems, this application is made to provide a method, related equipment, and computer program product for regulating pet excretion behavior, so as to limit undesirable pet excretion behaviors and reduce environmental impact. The specific solution is as follows:
[0006] Firstly, a method for regulating pet excretion behavior is provided, applied to pet collars, and the method includes:
[0007] Acquire multimodal data of the pet, including: physiological state data and behavioral representation data;
[0008] Based on the pet's multimodal data, identify whether the pet intends to defecate;
[0009] When it is determined that the pet intends to defecate, environmental information about the pet's surroundings is collected through the environmental sensing unit on the pet collar.
[0010] If a prohibited discharge target is identified in the environmental information, a preventive measure is output to stop the pet from defecating near the prohibited discharge target, which is a set target object that pets are prohibited from defecating in.
[0011] In one possible design, in another implementation of the first aspect of the embodiments of this application, the process of identifying whether a pet has an intention to defecate based on the pet's multimodal data includes:
[0012] The pet's multimodal data is fed into a pre-trained excretion intention classification model to obtain the classification result output by the model, which indicates whether the pet has an excretion intention.
[0013] The excretion intention classification model is trained using pet multimodal training data labeled with excretion intention tags.
[0014] In one possible design, in another implementation of the first aspect of the embodiments of this application, the process of identifying whether a pet has an intention to defecate based on the pet's multimodal data includes:
[0015] Each modal data in the pet's multimodal data is compared with the corresponding modal reference data to obtain the comparison result of each modal data. The reference data is the modal threshold representing the pet's intention to defecate under the corresponding modality.
[0016] If the comparison results of at least two modalities both indicate the presence of an intention to defecate, then it is determined that the pet has an intention to defecate.
[0017] In one possible design, in another implementation of the first aspect of the embodiments of this application, the process of identifying whether a pet has an intention to defecate based on the pet's multimodal data includes:
[0018] The configured large model is invoked to instruct the large model to identify whether the pet intends to defecate based on the pet's multimodal data, and the identification result output by the large model is obtained.
[0019] In one possible design, in another implementation of the first aspect of the embodiments of this application, the process of collecting environmental information around the pet through an environmental sensing unit on the pet collar when it is determined that the pet intends to defecate includes:
[0020] If it is determined that the pet intends to defecate, the environmental sensing unit on the pet's collar is activated to collect information about the pet's surrounding environment.
[0021] In one possible design, another implementation of the first aspect of the embodiments of this application further includes:
[0022] If a prohibited discharge target is identified in the environmental information, in addition to outputting measures to stop it, a warning message is sent to the user terminal associated with the pet collar to remind the user to guide the pet to an authorized discharge location in a timely manner.
[0023] In one possible design, in another implementation of the first aspect of the embodiments of this application, the stopping measure includes:
[0024] The deterrent audio or deterrent physical means are used to prevent pets from defecating in prohibited areas by means of audio broadcasting, and the deterrent physical means are used to prevent pets from defecating in prohibited areas by means of vibration or other physical means.
[0025] Secondly, a pet collar is provided, including the collar body;
[0026] The collar body is equipped with a multimodal sensor for collecting multimodal data of the pet, including physiological state data and behavioral representation data.
[0027] The collar body is also equipped with a processor and an output module. The processor is used to identify whether the pet has the intention to defecate based on the pet's multimodal data. If it is determined that the pet has the intention to defecate, it acquires the environmental information around the pet collected by the environmental sensing unit on the pet collar. If a prohibited defecation target is identified in the environmental information, it controls the output module to output a deterrent measure to prevent the pet from defecate near the prohibited defecation target. The prohibited defecation target is a set target object that the pet is prohibited from defecate in the vicinity.
[0028] Thirdly, a readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for regulating pet excretion behavior as described in any of the first aspects of this application.
[0029] Fourthly, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the steps of the method for regulating pet excretion behavior as described in any of the first aspects of this application.
[0030] Using the aforementioned technical solution, this application considers that pets typically exhibit physiological states and behavioral patterns before urination, such as abdominal hardening, bladder enlargement, and hind leg squatting (female dogs / cats) or leg lifting (male dogs). Therefore, this application uses a pet collar to detect the pet's physiological state and behavioral patterns. Combining these two modalities of data can automatically identify whether a pet intends to urinate, reducing false identifications from single-modal data and accurately recalling various scenarios where a pet intends to urinate.
[0031] Furthermore, this application focuses on scenarios that regulate pet excretion, such as a home setting. When a pet intends to defecate, it may be in a designated area, where no special intervention is needed. This application, upon confirming the pet's intention to defecate, further collects environmental information about the pet's surroundings through an environmental sensing unit on the pet collar. If a prohibited defecation target is identified in the environmental information, such as beds, sofas, sheets, carpets, or other easily soiled and difficult-to-clean items, the pet collar outputs a deterrent measure to stop the pet's defecation behavior to prevent the pet from soiling these items. This solution avoids unnecessary deterrent measures (such as not needing to stop the pet when it defecates in a designated area) while also preventing the pet from defecate near prohibited targets, thus reducing environmental impact. Attached Figure Description
[0032] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:
[0033] Figure 1 A schematic diagram of an implementation system architecture for a method to regulate pet excretion behavior provided in this application embodiment;
[0034] Figure 2 This is a schematic diagram of a pet collar structure provided in an embodiment of this application;
[0035] Figure 3 This is a schematic flowchart illustrating a method for regulating pet excretion behavior, provided as an embodiment of this application. Detailed Implementation
[0036] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0037] This application provides a method for regulating pet excretion behavior, which can be applied to, for example... Figure 1 The system architecture shown may include a pet collar 100 and a server 200. The server 200 may include one or more servers (…). Figure 1 (This example uses a server as an illustration).
[0038] The pet collar 100 can be used alone to perform the method for regulating pet excretion behavior provided in the embodiments of this application. Alternatively, the pet collar 100 and the server 200 can also be used collaboratively to perform the method for regulating pet excretion behavior provided in the embodiments of this application.
[0039] Reference Figure 2 As shown, the pet collar 100 of this application includes a collar body 101, and a multimodal sensor 110, a processor 111 and an output module 112 disposed on the collar body 101.
[0040] Multimodal sensors 110 include, but are not limited to: physiological state sensors (such as heart rate sensors, pressure sensors, etc.), motion sensors (such as six-axis sensors), environmental sensing units, etc.
[0041] The multimodal sensor 110 is used to collect multimodal data of pets, including physiological state data and behavioral representation data.
[0042] The processor 111 communicates with the multimodal sensor 110 to identify whether the pet intends to defecate based on the collected multimodal data of the pet. If the intention to defecate is determined, the processor acquires environmental information about the pet's surroundings from the environmental sensing unit on the pet's collar. If a prohibited defecation target is identified in the environmental information, the control output module 112 outputs preventative measures to stop the pet's defecation behavior. The prohibited defecation target is a pre-defined object that the pet is prohibited from defecating in the vicinity. For example, in a home setting, items that the user does not want to be contaminated by excrement, such as beds, sofas, sheets, and carpets, can be designated as prohibited defecation targets.
[0043] Output module 112 includes, but is not limited to: speaker, physical constraint structure, etc.
[0044] The loudspeaker can be used to play deterrent audio messages to stop pets from defecating in prohibited areas, such as pre-recorded scolding voices from the user.
[0045] Physical restraints can be achieved through structural means such as vibration or electrical stimulation. It should be noted that if such measures would cause harm to the pet, they must be authorized by the pet owner and permitted by relevant laws and regulations before implementation.
[0046] In some other possible implementations, the processor 111 can also send the collected multimodal data of the pet to the server 200 via a wireless communication module. The server 200, based on the pet's multimodal data, identifies whether the pet intends to defecate. The identification result is then returned to the pet collar 100. If the pet collar determines that the pet intends to defecate based on the identification result, it can collect surrounding environmental information through an environmental sensing unit and send this information to the server 200. The server 200 identifies whether there is a prohibited defecation target in the environmental information and returns the identification result to the pet collar 100. If the pet collar 100 determines that there is a prohibited defecation target in the environment based on the identification result, its control output module outputs a deterrent measure.
[0047] In addition, if the pet collar 100 determines that the pet intends to defecate and the environmental information identifies a prohibited defecation location, it can also send a warning message to the user terminal associated with the pet collar to remind the user to guide the pet to a permitted defecation location in a timely manner.
[0048] The pet collar provided in this embodiment automatically identifies whether a pet intends to defecate by detecting the pet's multimodal data, accurately recalling various scenarios where the pet may intend to defecate. Furthermore, when the intention to defecate is determined, the environmental sensing unit on the pet collar collects environmental information around the pet. If a prohibited defecation target is identified in the environmental information, the pet collar can output preventative measures to stop the pet's defecation behavior. This solution avoids unnecessary preventative measures (such as not stopping the pet when it defecates in a designated area) while also preventing the pet from defecusing near prohibited targets, thus reducing environmental impact.
[0049] This application provides a method for regulating pet excretion behavior. Taking the application of this method to a computer device as an example, the computer device can specifically be... Figure 1 The system consists of pet collar 100 or pet collar 100 and server 200. (Refer to...) Figure 3 The method for regulating pet elimination behavior specifically includes the following steps:
[0050] Step S100: Obtain multimodal data of the pet, including physiological state data and behavioral representation data.
[0051] In this step, we considered that when a pet has the intention to defecate, it may be reflected in its physiological state and behavioral characteristics. Therefore, in order to accurately identify whether a pet has the intention to defecate, we obtained multimodal data of the pet.
[0052] By combining physiological state data and behavioral representation data, decision-making can be made in a unified manner, avoiding false alarms caused by single-modal data. For example, a dog sniffing or lingering in a specific location may not be because it wants to relieve itself, but because there is food scattered in that location.
[0053] Physiological data refers to data reflecting the pet's physical condition, such as heart rate and abdominal pressure. This data can be obtained through various sensors attached to the pet's collar. The intention to defecate is often accompanied by slight fluctuations in heart rate due to stress, abdominal hardening, and changes in bladder volume. Therefore, physiological data can serve as a reference factor in determining whether a pet is attempting to defecate.
[0054] Behavioral representation data refers to behavioral data that reflects a pet's needs, such as circling in place, sniffing, crouching, arching its back, and lifting its leg. This behavioral representation data can be identified through motion sensors on a pet's collar. It can be a sequence of behaviors, such as a sequence of various pet behaviors over a period of time. For example, if a dog circles in place, sniffs, and then lifts its leg, it is highly likely that the pet intends to defecate. Therefore, a pet's behavioral representation data can serve as a reference factor in determining whether a pet intends to defecate.
[0055] Step S110: Based on the pet's multimodal data, identify whether the pet has the intention to defecate.
[0056] This step, which utilizes multimodal data from pets to identify whether a pet intends to defecate, can be achieved using a variety of different methods.
[0057] One alternative implementation is a rule-based approach, as shown in the following example:
[0058] Each modality of the pet's multimodal data is compared with the corresponding reference data to obtain the comparison result for each modality. The reference data is the modal threshold representing the pet's intention to defecate under the corresponding modality.
[0059] If the comparison results of at least two modalities both indicate the presence of an intention to defecate, then it is determined that the pet has an intention to defecate.
[0060] Table 1 below illustrates several rule combinations for determining a pet's intention to defecate:
[0061] Table 1
[0062]
[0063] It should be noted that Table 1 above only uses a pet dog as an example to illustrate one possible judgment rule, and the specific values in the trigger conditions are only an optional example. This application can pre-design rules to determine whether a pet has the intention to defecate for different types of pets, and can collect feedback data during actual application to personalize and adjust the rules to suit the current pet.
[0064] Another alternative implementation involves using a pre-trained neural network model to predict whether a pet intends to defecate. For example:
[0065] The pet's multimodal data is fed into a pre-trained excretion intention classification model to obtain the classification result output by the model, which indicates whether the pet has an excretion intention.
[0066] The excretion intention classification model was trained using multimodal training data of pets labeled with excretion intention tags.
[0067] The excretion intention classification model can employ a network structure consisting of a multimodal encoder, a fusion layer, and a classification head.
[0068] Multimodal encoders can include physiological data encoders and behavioral data encoders.
[0069] The physiological data encoder is used to input physiological state data, which can be time-series data. The physiological data encoder can extract local temporal features and encode them to obtain physiological feature vectors. In one optional implementation, the physiological data encoder can employ a sequential structure of convolutional layers and a Long Short-Term Memory (LSTM) network.
[0070] The behavior data encoder is used to input behavior representation data, and after encoding, it obtains a behavior feature vector.
[0071] The fusion layer is used to fuse physiological and behavioral feature vectors to obtain fused features. To fully utilize the complementary information between different modalities, the fusion layer can employ an attention-based fusion strategy. Alternatively, a simple concatenation strategy can also be used.
[0072] The classification head is used to output a binary classification result based on fusion features: whether there is an intention to excrete or not.
[0073] The cross-entropy loss function can be used during training of the excretion intention classification model.
[0074] Another alternative implementation involves using a large model to predict whether a pet intends to defecate. For example:
[0075] The configured large model is invoked to instruct the large model to identify whether the pet intends to defecate based on the pet's multimodal data, and the identification result output by the large model is obtained.
[0076] The large model here can be a multimodal large model, capable of processing multimodal data such as text and video simultaneously. Since large models inherently possess the ability to map different types of data to a unified semantic space, their powerful semantic understanding and multimodal alignment capabilities can be leveraged to accurately identify whether a pet intends to defecate.
[0077] Step S120: If it is determined that the pet intends to defecate, environmental information around the pet is collected through the environmental sensing unit on the pet collar.
[0078] Specifically, when the aforementioned steps determine that the pet intends to defecate, in order to further distinguish whether the pet is currently defecating (or about to defecate) near the prohibited defecation target, environmental information around the pet is collected through the environmental sensing unit on the pet collar.
[0079] In one possible implementation, this step could involve activating the environmental sensing unit on the pet's collar when the presence of an intention to defecate is detected. This allows the unit to collect information about the pet's surrounding environment. In other words, the environmental sensing unit can normally be off, only activating to capture environmental information when an intention to defecate is detected, thereby reducing system power consumption.
[0080] Step S130: If a prohibited discharge target is identified in the environmental information, output a prevention measure to prevent pets from defecating near the prohibited discharge target.
[0081] When a prohibited discharge target is identified in the environmental information, given that the pet is currently showing signs of wanting to defecate, it can be determined that the pet is likely to defecate near the prohibited discharge target. Therefore, measures are taken to stop the pet's unhygienic behavior by using the pet collar, thus ensuring the cleanliness of the environment.
[0082] This application allows for the pre-configuration of a prohibited emission target database, which stores various prohibited emission targets set by the user. After identifying environmental information, image recognition technology can be used to determine whether any prohibited emission targets from the database exist in the image.
[0083] There are several ways to use a pet collar to stop the behavior; please refer to the relevant introduction above for details, which will not be repeated here.
[0084] In one alternative implementation, if a no-queue formation is identified in the environmental information, in addition to outputting measures to stop it, a warning message can also be sent to the user terminal associated with the pet collar to remind the user to guide the pet to an authorized defecation location in a timely manner.
[0085] The method for regulating pet excretion behavior provided in this embodiment automatically identifies whether a pet intends to defecate by detecting the pet's multimodal data through a pet collar, accurately recalling various scenarios where a pet's defecation intention exists. Furthermore, when a pet's defecation intention is determined, environmental information surrounding the pet is collected by an environmental sensing unit on the pet collar. If a prohibited defecation target is identified in the environmental information, a deterrent measure is output through the pet collar to stop the pet's defecation behavior, preventing the pet from soiling such items. This solution avoids unnecessary deterrent measures (such as not needing to stop the pet when it defecates in a designated area) while also preventing the pet from defecusing near prohibited targets, reducing the impact on the environment.
[0086] In some embodiments of this application, the method for regulating pet excretion behavior may further include the following steps:
[0087] Record the spatiotemporal data of each time the pet defecates, including the time of defecation, location, and whether it was stopped.
[0088] When set conditions are met (such as reaching a statistical period), the system collects historical spatiotemporal data on pet excretion. If a pet defecates a set number of times in an unmarked area (meaning it is neither marked as a no-defecation area nor a permitted defecation area), the area is automatically marked as a potential no-defecation area, and the user is prompted to confirm.
[0089] This dynamic adjustment strategy can identify potential no-go zones based on a pet's historical excretion behavior, helping users to update no-go zones in a timely manner.
[0090] Alternatively, if, after analyzing the historical spatiotemporal data of pet excretion, it is found that the pet has never excreted in a marked no-excretion area within a continuously set time period (such as a week or other duration), the monitoring priority of that area can be reduced to save computing power.
[0091] In some embodiments of this application, after step S130, when a pet's need to defecate is detected and a prohibited defecation target is identified in the environmental information, and a deterrent measure is output, the pet's subsequent behavior can be further monitored. If the pet is successfully driven away and does not return within a threshold time, the deterrent effect can be determined as "determination successful"; if the pet ignores the deterrent or repeatedly attempts to defecate near the prohibited defecation target, the deterrent effect can be determined as "determination ineffective". The deterrent effect after outputting the deterrent measure is recorded and output to the user so that the user can take other measures.
[0092] This application also provides a computer program product including computer-readable instructions, which, when executed on an electronic device, cause the electronic device to perform the steps of any of the methods for regulating pet excretion behavior provided in this application.
[0093] This application also provides a computer-readable storage medium carrying one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the steps of any of the methods for regulating pet excretion behavior provided in this application.
[0094] It should also be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. In addition, in the device embodiment drawings provided in this application, the connection relationship between modules indicates that they have a communication connection, which can be implemented as one or more communication buses or signal lines.
[0095] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware, or it can be implemented by special-purpose hardware including application-specific integrated circuits, special-purpose CPUs, special-purpose memory, special-purpose components, etc. Generally, any function performed by a computer program can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be diverse, such as analog circuits, digital circuits, or special-purpose circuits. However, for this application, software program implementation is more often the preferred implementation method. Based on this understanding, the technical solution of this application, in essence, 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 readable storage medium, such as a computer floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk, or optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, training equipment, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0096] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product.
[0097] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, training device, or data center to another website, computer, training device, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).
[0098] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.
Claims
1. A method for regulating pet excretion behavior, characterized in that, Methods for applying to pet collars include: Acquire multimodal data of the pet, including: physiological state data and behavioral representation data; Based on the pet's multimodal data, identify whether the pet intends to defecate; When it is determined that the pet intends to defecate, environmental information about the pet's surroundings is collected through the environmental sensing unit on the pet collar. If a prohibited discharge target is identified in the environmental information, a preventive measure is output to stop the pet from defecating near the prohibited discharge target, which is a set target object that pets are prohibited from defecating in.
2. The method according to claim 1, characterized in that, The process of identifying whether a pet has an intention to defecate based on the pet's multimodal data includes: The pet's multimodal data is fed into a pre-trained excretion intention classification model to obtain the classification result output by the model, which indicates whether the pet has an excretion intention. The excretion intention classification model is trained using pet multimodal training data labeled with excretion intention tags.
3. The method according to claim 1, characterized in that, The process of identifying whether a pet has an intention to defecate based on the pet's multimodal data includes: Each modal data in the pet's multimodal data is compared with the corresponding modal reference data to obtain the comparison result of each modal data. The reference data is the modal threshold representing the pet's intention to defecate under the corresponding modality. If the comparison results of at least two modalities both indicate the presence of an intention to defecate, then it is determined that the pet has an intention to defecate.
4. The method according to claim 1, characterized in that, The process of identifying whether a pet has an intention to defecate based on the pet's multimodal data includes: The configured large model is invoked to instruct the large model to identify whether the pet intends to defecate based on the pet's multimodal data, and the identification result output by the large model is obtained.
5. The method according to claim 1, characterized in that, When it is determined that a pet intends to defecate, the process of collecting environmental information about the pet's surroundings through an environmental sensing unit on the pet collar includes: If it is determined that the pet intends to defecate, the environmental sensing unit on the pet's collar is activated to collect information about the pet's surrounding environment.
6. The method according to any one of claims 1-5, characterized in that, Also includes: If a prohibited discharge target is identified in the environmental information, in addition to outputting measures to stop it, a warning message is sent to the user terminal associated with the pet collar to remind the user to guide the pet to an authorized discharge location in a timely manner.
7. The method according to any one of claims 1-5, characterized in that, The preventive measures include: The deterrent audio or deterrent physical means are used to prevent pets from defecating in prohibited areas by means of audio broadcasting, and the deterrent physical means are used to prevent pets from defecating in prohibited areas by means of vibration or other physical means.
8. A pet collar, characterized in that, Including the collar itself; The collar body is equipped with a multimodal sensor for collecting multimodal data of the pet, including physiological state data and behavioral representation data. The collar body is also equipped with a processor and an output module. The processor is used to identify whether the pet has the intention to defecate based on the pet's multimodal data. If it is determined that the pet has the intention to defecate, it acquires the environmental information around the pet collected by the environmental sensing unit on the pet collar. If a prohibited defecation target is identified in the environmental information, it controls the output module to output a deterrent measure to prevent the pet from defecate near the prohibited defecation target. The prohibited defecation target is a set target object that the pet is prohibited from defecate in the vicinity.
9. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method for regulating pet excretion behavior as described in any one of claims 1 to 7.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method for regulating pet excretion behavior as described in any one of claims 1 to 7.