Intelligent wireless food feeding device and control method thereof

Abstract

The application provides a kind of intelligent wireless food feeding device and control method thereof, the device includes: food feeding device and intelligent gateway establish wireless connection, form space radio electromagnetic wave signal by the transmission of timing wireless signal;Controller receives wireless electromagnetic wave signal, carries out wireless electromagnetic wave state quantity collection, and wireless electromagnetic wave state quantity is converted into electric signal and sent to communication module;Communication module sends electric signal to computing power unit, forms the signal state quantity of computing power unit;Computing power unit carries out mapping and matching with mapping database to signal state quantity, and average weighted processing is carried out to matching result, obtains the activity state of animal;Computing power unit determines corresponding feeding strategy according to the activity state of animal for different animals, and controller controls automatic food distribution device to carry out quantitative grain feeding according to feeding strategy.The application can detect animal behavior comprehensively, so as to effectively monitor the living habit and health state of animal.

Description

Technical Field

[0001] This application relates to the field of animal products technology, specifically to an intelligent wireless food feeding device and its control method. Background Technology

[0002] With technological advancements and improved living standards, more and more families are keeping pets. Animals not only bring joy but have also become a source of emotional support, and pet ownership has become a popular hobby for many young people and working professionals. However, as people spend more time outdoors, many families face the problem of neglecting their pets. Therefore, smart pet feeders have become a popular necessity for animals. With the advent of the digital age, more and more people are using feeders connected to smart cloud platforms and user apps to customize feeding plans for their pets and incorporate big data analytics for healthier pet ownership.

[0003] Current mainstream smart wireless animal feeders primarily utilize mobile apps to customize timed feeding schedules for animals. However, due to the randomness of animals' eating habits, fixed feeding plans cannot be tailored to individual animals, often leading to food waste and disrupting the animals' healthy eating patterns. Some smart animal feeders use IR, PIR, or even cameras to detect animal approach and improve the feeding plan. However, these sensors can only detect the area directly in front of them, lacking comprehensive detection of animal approach, thus presenting limitations. Other animal feeding devices are equipped with rotating camera modules, using timed camera rotation to detect animal approach. This approach is costly and does not effectively solve the existing technological challenges.

[0004] In view of this, this application proposes an intelligent wireless food feeding device and its control method, which can detect animal behavior in all aspects, thereby effectively monitoring the animal's living habits and health status, and systematically customize a more humane feeding plan for each individual animal. Summary of the Invention

[0005] To address the problems of existing food feeding devices being unable to comprehensively detect animal behavior when approaching the feeder, or having high monitoring costs, this application provides an intelligent wireless food feeding device and its control method to solve the aforementioned technical deficiencies.

[0006] According to one aspect of this application, an intelligent wireless food feeding device is provided, the device comprising: a controller, a communication module, a computing unit, and an automatic food dispensing device;

[0007] Among them, the food feeding device establishes a wireless connection with the smart gateway, and generates spatial radio electromagnetic wave signals through the transmission of timed wireless signals;

[0008] The controller collects radio electromagnetic wave state quantities generated by weak signal fluctuations on the line-of-sight or non-line-of-sight paths when it receives radio electromagnetic wave signals, and converts the radio electromagnetic wave state quantities into electrical signals and sends them to the communication module.

[0009] The communication module sends electrical signals to the computing unit, forming the signal status quantities of the computing unit;

[0010] The computing unit maps and matches the signal state quantities one by one with the mapping database, and performs average weighting processing on the matching results to obtain the animal's activity state.

[0011] The computing unit determines the corresponding feeding strategy for different animals based on their activity status, and the controller controls the automatic food dispensing device to dispense a fixed amount of food according to the feeding strategy.

[0012] In the above technical solution, this application uses space radio electromagnetic wave sensing technology to sense the presence, movement and direction of movement of animals within the wireless communication range, thereby effectively monitoring the living habits and health status of animals, and systematically customizing more humane feeding plans for each individual animal, thus solving the pain point of no one taking care of animals when people leave home.

[0013] Preferably, the intelligent wireless food feeding device provided in this application further includes a storage module and an intelligent cloud. The computing unit determines the corresponding feeding strategy for different animals based on the animal's activity status, and the feeding strategy is saved to the storage module and / or uploaded to the intelligent cloud.

[0014] Through the above technical solution, this application can update the feeding strategy to the local storage module or intelligent cloud in real time so that users can view it at any time.

[0015] Further preferably, the intelligent wireless food feeding device provided in this application also includes an audio module, which, in response to the computing unit determining that the animal's activity state is a movement state and the animal moving toward the food feeding device, retrieves the corresponding feeding strategy for the animal through the storage module or the intelligent cloud.

[0016] The food feeding device further determines whether it is time to feed; if so, it controls the automatic food dispensing device to dispense a fixed amount of food through the controller.

[0017] When the computing unit determines that an animal is near the food feeding device, the controller uses the audio module to play a voice prompt to remind the animal to eat.

[0018] Through the above technical solution, this application can intelligently remind animals to eat and personalize feeding strategies for animals.

[0019] Furthermore, the intelligent wireless food feeding device provided in this application also includes a terminal APP;

[0020] When the computing unit determines that the animal is in a resting state, the controller records the animal's status and pushes it to the terminal APP, as well as monitors the animal's status and arranges the next feeding strategy.

[0021] When the next feeding strategy arrives, in response to the computing unit determining that the animal is in a resting state, the resting state is recorded and uploaded to the terminal APP again, and the user is reminded that the animal is in a long-term resting state.

[0022] In a further preferred embodiment, when the next feeding strategy arrives, in response to the computing unit determining that the animal is in motion and moving towards the food feeding device, the controller controls the automatic food dispensing device to dispense a fixed amount of food.

[0023] When the next feeding strategy arrives, in response to the computing unit determining that the animal is in motion but not moving towards the food feeding device, the controller controls the audio module to play a loud voice prompt to remind the animal to approach the food feeding device. If the animal approaches the food feeding device, the controller controls the automatic food dispensing device to dispense a fixed amount of food.

[0024] Through the above technical solution, this application can urge animals to eat or monitor their activity status, and can remind users that if an animal is in a long-term resting state, they need to pay attention to whether the animal is sick or has other abnormalities.

[0025] Furthermore, the intelligent wireless food feeding device provided in this application also includes an auxiliary weighing module;

[0026] The auxiliary weighing module is used to dynamically count the weight of food consumed by the animal each time in real time, and upload the food weight data to the controller. The controller sends the food weight data to the smart cloud and / or terminal APP through the communication module.

[0027] The terminal APP performs statistical calculations and logical analysis based on the animal's status information, the type of food consumed, and the total weight of food consumed within a specified time. It then compares the data with an animal health standard database to determine whether the animal is in a healthy dietary state.

[0028] Through the above technical solution, this application can adjust and improve unhealthy animal eating habits, ensuring that animals eventually develop healthy eating habits.

[0029] Secondly, this application proposes a control method for an intelligent wireless food feeding device, the method comprising the following steps:

[0030] The food feeding device is wirelessly connected to the smart gateway, and spatial radio electromagnetic wave signals are generated through the transmission of timed wireless signals.

[0031] The controller collects radio electromagnetic wave state quantities generated by weak signal fluctuations on the received radio electromagnetic wave signal at line-of-sight or non-line-of-sight paths, and converts the radio electromagnetic wave state quantities into electrical signals and sends them to the communication module.

[0032] The communication module sends electrical signals to the computing unit, forming the signal status quantities of the computing unit;

[0033] The computing unit maps and matches the signal state quantities one by one with the mapping database, and performs average weighting processing on the matching results to obtain the animal's activity state.

[0034] The computing unit determines the corresponding feeding strategy for different animals based on their activity status, and the controller controls the automatic food dispensing device to dispense a fixed amount of food according to the feeding strategy.

[0035] Furthermore, the control method for the intelligent wireless food feeding device provided in this application also includes:

[0036] The communication module sends electrical signals to the computing unit, forming the signal status quantities of the computing unit;

[0037] The signal state variables are filtered and preprocessed to select the effective signal state variable data;

[0038] The computing unit maps the effective signal state data one-to-one with the mapping database formed by the collected state model, and performs matching through AI deep data matching algorithm to obtain matching results.

[0039] Thirdly, this application provides a terminal device, including a processor, a memory, and a computer program stored in the memory, the computer program being executed by the processor to implement the control method of the intelligent wireless food feeding device as described in any of the preceding claims.

[0040] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the control method of the intelligent wireless food feeding device as described in any of the preceding claims.

[0041] Compared with the prior art, the beneficial results of the present invention are as follows:

[0042] (1) This application uses spatial radio electromagnetic wave sensing technology to sense the presence, movement and direction of movement of animals within the wireless communication range, which can detect animal behavior in all aspects and thus effectively monitor the living habits and health status of animals.

[0043] (2) This application provides a more humane feeding plan for each individual animal system, thereby solving the problem of no one to take care of the animals when the user is away from home. Attached Figure Description

[0044] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments, taken with reference to the accompanying drawings:

[0045] Figure 1 This is a schematic diagram of the principle of space radio electromagnetic wave induction according to this application;

[0046] Figure 2 This is an overall framework diagram of the intelligent wireless food feeding device according to this application;

[0047] Figure 3 This is a flowchart illustrating the control method of the intelligent wireless food feeding device according to this application;

[0048] Figure 4 This is a schematic diagram of the structure of a computer system suitable for implementing the electronic devices of the present application embodiments. Detailed Implementation

[0049] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0050] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0051] This application provides an intelligent animal feeding device with sensing technology capable of comprehensively detecting animal behavior. The device utilizes spatial radio electromagnetic wave sensing technology to detect the animal's presence, movement, and direction of movement within the wireless communication range, thereby effectively monitoring the animal's living habits and health status. It also systematically customizes a more humane feeding plan for each individual animal, thus addressing the pain point of unattended animal care when people are away from home. The animals mentioned in this application refer to domesticated and raised animals such as cats, dogs, and rabbits.

[0052] Figure 1A schematic diagram illustrating the principle of space radio electromagnetic wave induction of this application is shown, as follows: Figure 1 As shown, the specific sensing principle is: when an animal moves in the space of electromagnetic waves generated by radio communication, the spatial electromagnetic wave signal generated by the radio signal will be scattered on the animal's body. That is, its behavior will change the multipath characteristics of the radio signal. Therefore, the receiver will receive different amplitudes and phases of the signal, as well as the strength of the radio signal.

[0053] Figure 2 The overall framework diagram of the intelligent wireless food feeding device of this application is shown, as follows: Figure 2 As shown, the device includes: a controller, a communication module, a computing unit, an automatic food dispensing device, a storage module, and an intelligent cloud platform. Figure 2 (not shown in the image), audio module, terminal APP ( Figure 2 (Not shown in the image) Auxiliary weighing module.

[0054] The food feeding device establishes a wireless connection with the smart gateway, generating spatial radio electromagnetic wave signals through timed wireless signal transmission. The device's communication module / wireless communication module can establish a wireless connection with a corresponding router or other smart gateway. When an object moves within the radio electromagnetic wave space, its radio electromagnetic beam emits varying intensities. The signal receiving module of the smart animal feeding device's wireless communication module receives these changing electromagnetic wave signals and, through algorithmic logic, converts them into signals representing valid animal movement behavior.

[0055] The controller collects radio electromagnetic wave state quantities generated by weak signal fluctuations along line-of-sight or non-line-of-sight paths upon receiving radio electromagnetic wave signals, and converts these state quantities into electrical signals to be sent to the communication module. In this embodiment, the animal feeding device can, based on its local computing unit (such as the processing module integrated in the controller or communication module), characterize the received radio wave state quantities to collect the state quantities of radio waves generated by weak signal fluctuations along line-of-sight or non-line-of-sight paths. This enables the collection of minute movement behaviors such as the object's activity state, direction of movement, and breathing, which are then converted into electrical signals and sent to the communication module.

[0056] The communication module then sends the electrical signal to the computing unit, forming the signal state quantity of the computing unit. The computing unit maps and matches this signal state quantity with the mapping database formed by the state quantity model collected by the system. After mapping and matching multiple sets of data and performing average weighting processing, the animal activity state is obtained, such as: direction of movement, activity posture, breathing, etc.

[0057] The computing unit determines corresponding feeding strategies for different animals based on comprehensive information such as the animal's activity status and the operating time of the feeding device. Then, based on this feeding strategy, it selects feeding schemes and matching decisions using methods such as mapping, statistics, and machine learning. The controller then controls the automatic food dispensing device to deliver quantitative amounts of food according to the feeding strategy. It also performs one or more of the following auxiliary operations: providing voice prompts, owner reminders, recording animal movement status, and performing local data recording and cloud data backup. For example, the feeding strategy may be saved to the storage module and / or uploaded to the intelligent cloud.

[0058] In a specific embodiment, the wireless food feeding device further includes: a power supply module for supplying power to the food feeding device, typically including a power module and a power management module. The power module includes a DC power supply module or a backup power supply, such as a backup battery, for providing uninterrupted power to the device. The power management module converts the voltage input from the power module into the voltage range required by the chip input within the device, thereby supplying power to the corresponding chip within the device. The control module typically includes a human-machine interface module, such as buttons or a touchscreen. Users can perform related operation configurations on the device through these control units, such as powering on the device, configuring the network, and resetting it. The indication unit mainly provides corresponding status indications and feedback based on the control process of the control unit or the control process on the APP. The crystal oscillator unit mainly provides basic clock signals to the device's controller and software system.

[0059] In specific embodiments, the intelligent wireless food feeding device handles the following situations differently:

[0060] a. In response to the computing unit determining that the animal's activity state is in motion and that the animal is moving toward the food feeding device, the food feeding device simultaneously retrieves the corresponding feeding strategy for the animal through the storage module or the smart cloud.

[0061] The food feeding device further determines whether it is time to feed; if so, it controls the automatic food dispensing device to dispense a fixed amount of food through the controller.

[0062] When the computing unit determines that an animal is near the food feeding device, the controller uses the audio module to play a voice prompt to remind the animal to eat.

[0063] b. In response to the computing unit determining that the animal's activity state is in motion, and the animal is not moving towards the feeding device, if the feeding device checks the feeding strategy through the storage module or the smart cloud and confirms that it is time to feed, the feeding device will first activate the audio module to play a loud sound to remind the animal to come and eat. When the computing unit of the feeding device determines that the animal is moving towards the feeding device and is close to it, the feeding device will start the automatic food dispensing device to dispense a meal's worth of food into the animal's feeding bowl, ensuring the timeliness and regularity of the animal's feeding.

[0064] c. When the animal feeding device confirms the start of the animal feeding period by periodically checking the feeding strategy in the storage module, in response to the computing unit determining that the animal is in a resting state, the animal feeding device will not start the automatic food distribution device. Instead, it will record the animal's status through the controller and push it to the terminal APP, as well as monitor the animal's status and the arrangement of the next feeding strategy.

[0065] When the next feeding strategy arrives, the computing unit determines that the animal is in a resting state, records the resting state and uploads it to the terminal APP again, and reminds the user that the animal has been in a resting state for a long time and needs to pay attention to whether the animal is sick or has other abnormalities.

[0066] When the next feeding strategy arrives, in response to the computing unit determining that the animal is in motion and moving toward the food feeding device, the controller controls the automatic food dispensing device to deliver a fixed amount of food.

[0067] When the next feeding strategy arrives, in response to the computing unit determining that the animal is in motion but not moving towards the food feeding device, the controller controls the audio module to play a loud voice prompt to remind the animal to approach the food feeding device. If the animal approaches the food feeding device, the controller controls the automatic food dispensing device to dispense a fixed amount of food.

[0068] In a specific embodiment, the auxiliary weighing module is used to dynamically count the weight of food consumed by the animal each time in real time, and upload the food weight data to the controller (e.g., MCU). The controller then sends the food weight data to the smart cloud and / or terminal APP through the communication module.

[0069] The terminal app performs statistical calculations and logical analysis based on the animal's status information, the types of food consumed, and the total weight of food consumed within a specified time. It then compares this data with an animal health standard database to determine whether the animal is in a healthy dietary state. This allows for adjustments and improvements to unhealthy feeding habits, ensuring that the animal ultimately develops healthy eating habits.

[0070] Figure 3A flowchart illustrating the control method of the intelligent wireless food feeding device of this application is shown, as follows: Figure 3 As shown, this application proposes a control method for an intelligent wireless food feeding device, which includes the following steps:

[0071] The food feeding device is wirelessly connected to the smart gateway, and spatial radio electromagnetic wave signals are generated through the transmission of timed wireless signals.

[0072] The controller collects radio electromagnetic wave state quantities generated by weak signal fluctuations on the received radio electromagnetic wave signal at line-of-sight or non-line-of-sight paths, and converts the radio electromagnetic wave state quantities into electrical signals and sends them to the communication module.

[0073] The communication module sends electrical signals to the computing unit, forming the signal status quantities of the computing unit;

[0074] The signal state variables are filtered and preprocessed to select the effective signal state variable data;

[0075] The computing unit maps the effective signal state data one-to-one with the mapping database formed by the collected state model, and performs matching through AI deep data matching algorithm to obtain matching results. The matching results are then averaged and weighted to obtain the animal's activity state.

[0076] The computing unit determines the corresponding feeding strategy for different animals based on their activity status, and the controller controls the automatic food dispensing device to dispense a fixed amount of food according to the feeding strategy.

[0077] Thirdly, this application provides a terminal device, including a processor, a memory, and a computer program stored in the memory, the computer program being executed by the processor to implement the control method of the intelligent wireless food feeding device as described in any of the preceding claims.

[0078] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the control method of the intelligent wireless food feeding device as described in any of the preceding claims.

[0079] The following is for reference. Figure 4 It shows a schematic diagram of the structure of a computer system 400 suitable for implementing terminal devices or servers in the embodiments of this application. Figure 4 The terminal device or server shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0080] like Figure 4As shown, the computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 402 or programs loaded from storage section 408 into random access memory (RAM) 403. The RAM 403 also stores various programs and data required for the operation of the computer system 400. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0081] The following components are connected to I / O interface 405: input section 406 including keyboard, mouse, etc.; output section 407 including liquid crystal display (LCD) and speakers, etc.; storage section 408 including hard disk, etc.; and communication section 409 including network interface card such as LAN card, modem, etc. Communication section 409 performs communication processing via a network such as the Internet. Drive 410 is also connected to I / O interface 405 as needed. Removable media 411, such as disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 410 as needed so that computer programs read from them can be installed into storage section 408 as needed.

[0082] Specifically, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit (CPU) 401, it performs the functions defined in the methods of this application. It should be noted that the computer-readable medium described in this application can be a computer-readable signal medium or a computer-readable medium or any combination thereof. The computer-readable medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, a computer-readable medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. Program code contained on a computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0083] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0084] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0085] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. An intelligent wireless food feeding device, characterized in that, include: Controller, communication module, computing unit, and automatic food dispensing device; Among them, the food feeding device establishes a wireless connection with the smart gateway, and generates spatial radio electromagnetic wave signals through the transmission of timed wireless signals; The controller collects radio electromagnetic wave state quantities generated by weak signal fluctuations on the line-of-sight or non-line-of-sight paths when it receives the space radio electromagnetic wave signal, and converts the radio electromagnetic wave state quantities into electrical signals and sends them to the communication module. The communication module sends the electrical signal to the computing unit, forming the signal status quantity of the computing unit; The computing unit maps and matches the signal state quantities one by one with the mapping database, and performs average weighting processing on the matching results to obtain the animal's activity state. The computing unit determines a corresponding feeding strategy for different animals based on their activity status, and the controller controls the automatic food dispensing device to dispense a fixed amount of food according to the feeding strategy. It also includes a storage module and a smart cloud. The computing unit determines the corresponding feeding strategy for different animals based on the animal's activity status. The feeding strategy is saved to the storage module and / or uploaded to the smart cloud. It also includes an audio module, which, in response to the computing unit determining that the animal's activity state is a movement state and the animal moving toward the food feeding device, retrieves the corresponding feeding strategy for the animal through the storage module or the smart cloud. The food feeding device further determines whether it has entered the feeding period. If so, the controller controls the automatic food dispensing device to dispense a fixed amount of food. In response to the computing unit determining that the animal is near the food feeding device, the controller controls the audio module to play a voice reminder to the animal to eat; This also includes terminal apps; When the computing unit determines that the animal is in a resting state, the controller records the animal's state and pushes it to the terminal APP, and monitors the animal's state and arranges the next feeding strategy; When the next feeding strategy arrives, in response to the computing unit determining that the animal is in a resting state, the resting state is recorded and uploaded to the terminal APP again, and the user is reminded that the animal is in a long-term resting state.

2. The intelligent wireless food feeding device according to claim 1, characterized in that, When the next feeding strategy arrives, in response to the computing unit determining that the animal is in motion and moving toward the food feeding device, the controller controls the automatic food dispensing device to dispense a fixed amount of food. When the next feeding strategy arrives, in response to the computing unit determining that the animal is in motion but not moving toward the food feeding device, the controller controls the audio module to play a loud voice prompt to remind the animal to approach the food feeding device. If the animal approaches the food feeding device, the controller controls the automatic food dispensing device to dispense a fixed amount of food.

3. The intelligent wireless food feeding device according to claim 1, characterized in that, It also includes an auxiliary weighing module; The auxiliary weighing module is used to dynamically calculate the weight of food consumed by the animal each time in real time, and upload the food weight data to the controller. The controller sends the food weight data to the smart cloud and / or terminal APP through the communication module. The terminal APP performs statistical calculations and logical analysis based on the animal's status information, the type of food consumed, and the total weight of food consumed within a specified time. It then compares the data with an animal health standard database to determine whether the animal is in a healthy dietary state.

4. A control method for an intelligent wireless food feeding device, characterized in that, Includes the following steps: The food feeding device is wirelessly connected to the smart gateway, and spatial radio electromagnetic wave signals are generated through the transmission of timed wireless signals. The controller collects radio electromagnetic wave state quantities generated by weak signal fluctuations on line-of-sight or non-line-of-sight paths from the received space radio electromagnetic wave signals, and converts the radio electromagnetic wave state quantities into electrical signals and sends them to the communication module. The communication module sends the electrical signal to the computing unit, forming the signal status quantity of the computing unit; The computing unit maps and matches the signal state quantities one by one with the mapping database, and performs average weighting processing on the matching results to obtain the animal's activity state. The computing unit determines the corresponding feeding strategy for different animals based on their activity status, and the controller controls the automatic food dispensing device to dispense a fixed amount of food according to the feeding strategy. It also includes a storage module and a smart cloud. The computing unit determines the corresponding feeding strategy for different animals based on the animal's activity status. The feeding strategy is saved to the storage module and / or uploaded to the smart cloud. It also includes an audio module, which, in response to the computing unit determining that the animal's activity state is a movement state and the animal moving toward the food feeding device, retrieves the corresponding feeding strategy for the animal through the storage module or the smart cloud. The food feeding device further determines whether it has entered the feeding period. If so, the controller controls the automatic food dispensing device to dispense a fixed amount of food. In response to the computing unit determining that the animal is near the food feeding device, the controller controls the audio module to play a voice reminder to the animal to eat; This also includes terminal apps; When the computing unit determines that the animal is in a resting state, the controller records the animal's state and pushes it to the terminal APP, and monitors the animal's state and arranges the next feeding strategy; When the next feeding strategy arrives, in response to the computing unit determining that the animal is in a resting state, the resting state is recorded and uploaded to the terminal APP again, and the user is reminded that the animal is in a long-term resting state.

5. The control method for the intelligent wireless food feeding device according to claim 4, characterized in that, Also includes: The communication module sends the electrical signal to the computing unit, forming the signal status quantity of the computing unit; The signal state variables are filtered and preprocessed to select valid signal state variable data. The computing unit maps the effective signal state data one-to-one with the mapping database formed by the collected state model, and performs matching through an AI deep data matching algorithm to obtain the matching result.

6. A terminal device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory, the computer program being executed by the processor to implement the control method of the intelligent wireless food feeding device as described in any one of claims 4-5.

7. A computer-readable storage medium storing a computer program that, when executed by a processor, implements a control method for the intelligent wireless food feeding device as described in any one of claims 4-5.

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