A magnetic resonance type wireless power supply control method and system based on animal behavior physiological self-adaptive model

Abstract

This invention discloses a magnetic resonance wireless power supply control method and system based on an animal behavior and physiological adaptive model. The solution establishes a dynamic behavior model and a set of physiological parameter safety thresholds bound to the individual animal, and implements two-way identity authentication, physiological state-linked adaptive power adjustment, and multi-device priority scheduling based on dwelling habit prediction. This achieves safe, efficient, and personalized wireless power supply for animal wearable devices. At the same time, through rapid stress response and dual protection mechanisms against foreign objects and overheating, it significantly improves animal welfare and system reliability during charging.

Description

Technical Field

[0001] This invention belongs to the technical field of wireless power transmission technology and intelligent wearable devices for animals, specifically relating to a magnetic resonance wireless power supply control method and system based on an animal behavioral and physiological adaptive model. Background Technology

[0002] With the increasing application of IoT technology in areas such as life and health monitoring, precision breeding management, wildlife protection and monitoring, and human-machine collaborative operations, the demand for wearable animal devices is growing rapidly. These devices typically integrate modules for location tracking, vital sign monitoring, and behavior analysis, requiring a continuous and stable power supply. However, animals' inherent characteristics, such as wide range of activity, random movement patterns, and inability to actively cooperate with charging, make traditional wired charging and contact-based wireless charging methods insufficient for practical application needs.

[0003] Magnetic resonance wireless charging technology is considered an ideal solution to the power supply problem of wearable devices for animals due to its advantages such as moderate transmission distance, high spatial freedom, and no need for precise alignment. Currently, this technology is widely used in consumer electronics (such as smartphones and wearable bracelets). However, existing technologies are mainly designed for static or quasi-static scenarios, and their application in wearable devices for living organisms faces the following prominent problems: At the behavioral prediction level, existing systems lack the ability to predict movement trends and proactively schedule charging resources. The movement of living organisms is highly uncertain. When multiple targets enter a charging area simultaneously, existing technologies typically allocate energy using a "first-come, first-served" or simple polling method, without considering movement trajectory prediction, expected dwell time, and behavioral rhythm characteristics for comprehensive optimization. This results in devices urgently needing charging potentially failing to receive effective energy replenishment due to the organism leaving prematurely, leading to low charging efficiency and unbalanced resource allocation.

[0004] At the physiological perception level, existing systems lack individualized physiological state monitoring and closed-loop regulation mechanisms for charging power. Different living organisms have varying physical characteristics and health baselines. If an individual is in a state of fever, strenuous exercise, or stress during charging, the continuous supply of constant power, combined with the device's own heat generation, may exacerbate body temperature increases or even induce injury. Current technologies cannot obtain individual physiological parameter baselines, nor can they sense real-time physiological changes, making it difficult to achieve dynamic regulation that balances energy efficiency and life safety.

[0005] At the security mechanism level, the existing system lacks the ability to identify and manage permissions. Any device that enters the charging area can trigger charging, posing a risk of unauthorized device access. Furthermore, it cannot formulate differentiated power supply strategies based on individual health records.

[0006] At the emergency response level, existing systems lack the ability to quickly protect against sudden behaviors. During charging, animals may suddenly struggle, move, or leave the charging area due to external stimuli. If the power supply system cannot reduce power or cut off power in time, it may lead to equipment damage or injury to the animal. In other words, existing systems lack mechanisms for identifying and managing the permissions of individual animals. Any device entering the charging area can trigger charging, which not only poses security risks of unauthorized device access but also fails to obtain baseline physiological parameters for different animals, resulting in a "one-size-fits-all" charging strategy and an inability to achieve personalized power supply management. Furthermore, existing systems cannot perceive the real-time physiological state of animals. During charging, animals may be in a state of fever, strenuous exercise, or stress. Continuously wirelessly charging at a constant power in such situations will amplify the heat generated by the device itself, potentially exacerbating the animal's body temperature rise or even triggering heat stress, violating basic animal welfare principles.

[0007] Furthermore, existing systems lack intelligent scheduling capabilities based on animal behavior prediction. In application scenarios where multiple animals (such as livestock in farms) simultaneously enter the charging area, current technologies typically allocate charging resources using a "first-come, first-served" or simple polling method, failing to consider the different animals' health urgency, remaining power needs, and expected stay time. This results in low charging efficiency, and equipment urgently needing charging may not receive effective energy replenishment because the animals leave early. Additionally, existing systems lack rapid protection mechanisms against animal stress responses. Animals may suddenly struggle during charging due to external stimuli; if the power supply system cannot respond promptly and cut off power, it may lead to equipment damage or animal injury.

[0008] In summary, existing magnetic resonance wireless charging technologies have significant shortcomings in areas such as behavior prediction, physiological perception, identity management, and emergency response, making it difficult to meet the practical application needs of wearable devices for living organisms. Therefore, there is an urgent need for a magnetic resonance wireless power supply control method and system based on animal behavioral and physiological adaptive models to achieve proactive scheduling of charging resources and closed-loop protection of physiological safety. Summary of the Invention

[0009] To overcome the shortcomings and difficulties of the existing technology, the purpose of this invention is to propose a magnetic resonance wireless power supply control method and system based on an animal behavior and physiological adaptive model, which can realize functions such as individual identification, physiological state perception, behavior prediction and scheduling, and rapid stress protection, so as to balance charging efficiency and animal welfare.

[0010] The primary objective of this invention is to provide a magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model. The second objective of this invention is to provide a magnetic resonance wireless power supply control system based on an animal behavioral and physiological adaptive model; The first objective of this invention is achieved as follows: the method comprises the following steps: Obtain a unique identifier corresponding to the target animal, and retrieve the dynamic behavior model and physiological parameter safety threshold set bound to the individual animal based on the identifier; wherein, the dynamic behavior model includes at least the animal's activity intensity baseline, static time distribution map, and dwelling habit prediction parameters; When the wearable device worn by the target animal is detected to enter the preset charging field, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. During power transmission, the power status parameters fed back by the wearable device, the instantaneous physiological parameters and instantaneous behavioral status parameters of the target animal are acquired in real time; and the transmission power of the magnetic resonance coupling link is dynamically adjusted based on the comparison results of the instantaneous physiological parameters with the set of physiological parameter safety thresholds and the degree of matching between the instantaneous behavioral status parameters and the dynamic behavior model. When multiple individual animals and their corresponding wearable devices are in the preset charging area, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority sorting sequence is generated in combination with the current energy storage status of each device, and charging time slots are allocated according to the sorting sequence. In response to a charging completion signal, a device departure signal, or an abnormal state trigger signal, the magnetic resonance coupling link is disconnected and the system switches to a low-power monitoring mode.

[0011] Furthermore, the step of detecting when the wearable device worn on the target animal enters the preset charging area, performing bidirectional authentication based on the unique identifier, and establishing a magnetic resonance coupling link for power transmission after successful authentication, further includes: Verify the binding relationship between the wearable device and the target animal, and verify the matching of the electrical parameters of the wearable device with the output capability of the wireless power supply transmitter; wherein, the electrical parameters include at least the energy storage unit type, rated charging power and communication protocol version.

[0012] Furthermore, during the power transmission process, the method of acquiring in real-time the power state parameters fed back by the wearable device, the instantaneous physiological parameters and instantaneous behavioral state parameters of the target animal; and dynamically adjusting the transmission power of the magnetic resonance coupling link based on the comparison results of the instantaneous physiological parameters with the set of safe thresholds for physiological parameters, and the degree of matching between the instantaneous behavioral state parameters and the dynamic behavior model, further includes: When the instantaneous physiological parameters exceed the upper limit of the set of safe physiological parameter thresholds, or when the instantaneous behavioral state parameters indicate that the target animal is in a preset high dynamic stress state, the transmission power is reduced to a safe value below the nominal power or intermittent power supply is executed. When the instantaneous behavioral state parameter matches the static time period distribution map, and the instantaneous physiological parameter is within the set of safe physiological parameter thresholds, the transmission power is increased to an enhanced value higher than the nominal power.

[0013] Furthermore, when multiple individual animals and their corresponding wearable devices are in the preset charging area, the step of calculating the expected effective charging time window for each animal based on its dwelling habit prediction parameters, and generating a differentiated priority ranking sequence in conjunction with the current energy storage status of each device, and allocating charging time slots according to the ranking sequence, further includes: Animals that meet the preset special care conditions are given the first priority. The special care conditions include pathological conditions, pregnancy conditions, or young conditions. For animal individuals not assigned the first priority, the second priority is determined based on the ratio of the current remaining energy storage of each device to the expected effective charging time window, with a higher priority being the smaller the ratio. For animal individuals with the same second priority, the third priority is determined based on the real-time coupling efficiency between them and the power supply transmitter, with higher coupling efficiency resulting in higher priority.

[0014] Furthermore, the method also includes: The presence of metallic foreign objects in the charging field is determined by monitoring the rate of change of the quality factor of the transmitting coil used to generate magnetic resonance coupling, and graded overheat protection is performed by receiving the device temperature fed back by the wearable device; wherein, when the rate of change of the quality factor exceeds a preset drop threshold, or the device temperature exceeds a first temperature threshold, the power supply is interrupted.

[0015] Furthermore, the step of disconnecting the magnetic resonance coupling link and switching to a low-power monitoring mode in response to a charging completion signal, a device departure signal, or an abnormal state trigger signal also includes: The output characteristics of the accelerometer in the wearable device are monitored; when the rate of change of the output characteristic in the time domain exceeds a preset struggle threshold and the duration is shorter than a preset short-term impact window, it is determined to be an instantaneous stress struggle and a power interruption is triggered.

[0016] The second objective of this invention is achieved as follows: the system is used to implement the magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model; the system includes at least one wireless power supply transmitting terminal, which has a transmitting resonant network configured to generate an alternating magnetic field; a transmitting-side controller, which integrates a power regulation module and a communication module; and a behavioral-physiological model library, which stores dynamic behavioral models and physiological parameter safety threshold sets for different animal individuals; At least one wirelessly powered receiver integrated with an animal wearable device has a receiving resonant network for forming magnetic resonance coupling with the transmitting resonant network; a receiver-side controller integrates a synchronous rectification module, an energy storage management module, and a physiological-behavioral sensing module; the physiological-behavioral sensing module includes a temperature sensing unit for acquiring the animal's real-time body temperature and an inertial sensing unit for acquiring the animal's real-time movement posture. The transmitting-side controller performs dynamic adjustment of the transmission power and generation of the priority sorting sequence based on the real-time physiological parameters and real-time behavioral state parameters fed back by the receiving terminal and the corresponding model in the behavioral-physiological model library.

[0017] Furthermore, the transmitting resonant network and the receiving resonant network operate at a specified resonant frequency within the ISM band, and their resonant topologies include at least one of series compensation topology, parallel compensation topology, or LCC compensation topology; the receiving resonant network adopts a flexible substrate or a bendable winding structure; the outer shell of the receiving terminal has a biocompatible sealing structure, and a heat insulation medium layer is provided on the side facing the animal skin.

[0018] Furthermore, the synchronous rectification module includes a rectification topology composed of at least one controlled switching device. The control terminal of the controlled switching device is connected to the pulse width modulation output terminal of the receiving controller to achieve active rectification that is phase-synchronized with the AC output of the receiving resonant network. The on-resistance of the controlled switching device is less than 50mΩ and the reverse recovery time is less than 100ns. The rectification method can be Class D or Class E (synchronous rectification).

[0019] Furthermore, the wireless power supply transmitter is fixed to the boundary facility of the animal's restricted activity area by a mounting bracket, and its exposed surface is covered with a scratch- and bite-resistant protective mesh cover. The mesh size of the protective mesh cover is smaller than the minimum insertable size of the target animal's mouth or claws. The animal wearable device is a collar, harness, ear tag, or vest-type device, and integrates at least one of a positioning tracking module, a vital signs monitoring module, or a behavior intervention module.

[0020] This invention obtains a unique identifier corresponding to a target animal and retrieves a dynamic behavior model and a set of physiological parameter safety thresholds bound to that individual animal based on this identifier. The dynamic behavior model includes at least the animal's activity intensity baseline, resting period distribution map, and dwelling habit prediction parameters. When a wearable device worn on the target animal is detected entering a preset charging area, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. During power transmission, the wearable device's power status parameters, the target animal's instantaneous physiological parameters, and instantaneous behavioral status parameters are acquired in real time. Based on the comparison results between the instantaneous physiological parameters and the set of physiological parameter safety thresholds, and the matching degree between the instantaneous behavioral status parameters and the dynamic behavior model, the magnetic resonance coupling link is dynamically adjusted. The transmission power of the coupling link; when multiple individual animals and corresponding wearable devices are in the preset charging field, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority sorting sequence is generated in combination with the current energy storage status of each device, and charging time slots are allocated according to the sorting sequence; in response to the charging completion signal, device departure signal or abnormal state trigger signal, the magnetic resonance coupling link is cut off and a low-power listening mode is entered, and a system corresponding to the method is provided; it can solve the following technical problems existing when the magnetic resonance wireless charging technology is applied to animal wearable devices: lack of individual animal identification and personalized power supply strategy, inability to adjust charging power according to the real-time physiological state of the animal, lack of intelligent scheduling of multiple devices based on animal behavior prediction, and lack of rapid protection mechanism for animal stress response.

[0021] In other words, the present invention establishes a dynamic behavioral model and a set of physiological parameter safety thresholds bound to individual animals, and on this basis implements two-way identity authentication, power adaptive adjustment linked to physiological state, and multi-device priority scheduling based on dwelling habit prediction. This achieves safe, efficient, and personalized wireless power supply for animal wearable devices. At the same time, through rapid stress response and dual protection mechanisms against foreign objects / overheating, it improves animal welfare and system reliability during the charging process. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1This is a schematic diagram of the process steps of a magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to the present invention. Figure 2 This is a schematic diagram of the control logic for adjusting the power of a magnetic resonance wireless power supply control method based on an animal behavior and physiological adaptive model, according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the equivalent circuit of the magnetic resonance coupling coil, which is an embodiment of the magnetic resonance wireless power supply control method based on an animal behavior and physiological adaptive model of the present invention. Figure 4 This is a timing diagram illustrating the multi-device polling power supply of an embodiment of a magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to the present invention. Figure 5 This is a schematic diagram of the architecture of a magnetic resonance wireless power supply control system based on an animal behavior and physiological adaptive model according to the present invention. Figure 6 This is a schematic diagram of the overall structure of a magnetic resonance wireless power supply control system based on an animal behavior and physiological adaptive model, according to an embodiment of the present invention. Figure 7 This is a schematic diagram of the transmission control circuit of an embodiment of the present invention, which is a magnetic resonance wireless power supply control system based on an animal behavior and physiological adaptive model. Figure 8 This is a schematic diagram of the receiving control circuit of an embodiment of a magnetic resonance wireless power supply control system based on an animal behavioral and physiological adaptive model according to the present invention. Detailed Implementation

[0024] To facilitate a clearer understanding of the objectives, technical solutions, and advantages of this invention, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of this invention from the content disclosed in this specification.

[0025] This invention can also be implemented or applied through other different specific examples, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of this invention.

[0026] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0027] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Secondly, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0028] The present invention will be further described below with reference to the accompanying drawings.

[0029] like Figures 1-4 As shown, this invention provides a magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model, the method comprising the following steps: Obtain a unique identifier corresponding to the target animal, and retrieve the dynamic behavior model and physiological parameter safety threshold set bound to the individual animal based on the identifier; wherein, the dynamic behavior model includes at least the animal's activity intensity baseline, static time distribution map, and dwelling habit prediction parameters; When the wearable device worn by the target animal is detected to enter the preset charging field, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. During power transmission, the power status parameters fed back by the wearable device, the instantaneous physiological parameters and instantaneous behavioral status parameters of the target animal are acquired in real time; and the transmission power of the magnetic resonance coupling link is dynamically adjusted based on the comparison results of the instantaneous physiological parameters with the set of physiological parameter safety thresholds and the degree of matching between the instantaneous behavioral status parameters and the dynamic behavior model. When multiple individual animals and their corresponding wearable devices are in the preset charging area, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority sorting sequence is generated in combination with the current energy storage status of each device, and charging time slots are allocated according to the sorting sequence. In response to a charging completion signal, a device departure signal, or an abnormal state trigger signal, the magnetic resonance coupling link is disconnected and the system switches to a low-power monitoring mode.

[0030] When the wearable device worn on the target animal is detected to have entered the preset charging area, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. The method further includes: Verify the binding relationship between the wearable device and the target animal, and verify the matching of the electrical parameters of the wearable device with the output capability of the wireless power supply transmitter; wherein, the electrical parameters include at least the energy storage unit type, rated charging power and communication protocol version.

[0031] During power transmission, the method further includes real-time acquisition of power state parameters fed back by the wearable device, instantaneous physiological parameters of the target animal, and instantaneous behavioral state parameters; and dynamically adjusting the transmission power of the magnetic resonance coupling link based on the comparison results of the instantaneous physiological parameters with the set of safe thresholds for physiological parameters, and the degree of matching between the instantaneous behavioral state parameters and the dynamic behavior model. When the instantaneous physiological parameters exceed the upper limit of the set of safe physiological parameter thresholds, or when the instantaneous behavioral state parameters indicate that the target animal is in a preset high dynamic stress state, the transmission power is reduced to a safe value below the nominal power or intermittent power supply is executed. When the instantaneous behavioral state parameter matches the static time period distribution map, and the instantaneous physiological parameter is within the set of safe physiological parameter thresholds, the transmission power is increased to an enhanced value higher than the nominal power.

[0032] When multiple individual animals and their corresponding wearable devices are in the preset charging area, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority ranking sequence is generated in combination with the current energy storage status of each device. Charging time slots are then allocated according to the ranking sequence. The method further includes: Animals that meet the preset special care conditions are given the first priority. The special care conditions include pathological state, pregnancy state or young state. For animal individuals not assigned the first priority, the second priority is determined based on the ratio of the current remaining energy storage of each device to the expected effective charging time window, with a higher priority being the smaller the ratio. For animal individuals with the same second priority, the third priority is determined based on the real-time coupling efficiency between them and the power supply transmitter, with higher coupling efficiency resulting in higher priority.

[0033] The method further includes: The presence of metallic foreign objects in the charging field is determined by monitoring the rate of change of the quality factor of the transmitting coil used to generate magnetic resonance coupling, and graded overheat protection is performed by receiving the device temperature fed back by the wearable device; wherein, when the rate of change of the quality factor exceeds a preset drop threshold, or the device temperature exceeds a first temperature threshold, the power supply is interrupted.

[0034] The step of disconnecting the magnetic resonance coupling link and switching to a low-power monitoring mode in response to a charging completion signal, a device departure signal, or an abnormal state trigger signal also includes: The output characteristics of the accelerometer in the wearable device are monitored; when the rate of change of the output characteristic in the time domain exceeds a preset struggle threshold and the duration is shorter than a preset short-term impact window, it is determined to be an instantaneous stress struggle and a power interruption is triggered.

[0035] Specifically, in an embodiment of the present invention, a wireless power supply control method for an animal wearable device is provided, the method comprising the following steps: Detection steps: The wireless power supply transmitter sends a low-frequency detection signal at a preset period to detect whether the animal wearable device has entered the effective range of the wireless power supply; Identity verification steps: When an animal wearable device is detected entering the effective range, the transmitter and receiver communicate bidirectionally to verify the device's identity and power supply protocol compatibility. The identity includes a unique animal code, animal physiological parameter thresholds, animal behavior pattern data, and a binding relationship code between the device and the animal. The animal physiological parameter thresholds include the animal's normal body temperature range and normal heart rate range. The animal behavior pattern data includes the animal's activity baseline, rest period preference data, historical feeding duration data, and historical rest area dwell time data. Establishing coupling steps: After successful authentication, control the wireless power transmission coil to establish magnetic resonance coupling with the wireless power receiving coil in the animal wearable device; Physiological parameter-linked power adjustment steps: Based on the real-time feedback of voltage, current, power, device temperature, and real-time physiological parameters of the animal from the wireless power supply receiver, a closed-loop control algorithm is used to dynamically adjust the output power of the wireless power supply transmitter; when the animal's real-time body temperature exceeds the upper limit of the normal body temperature range, or when the animal's real-time activity level exceeds the activity level benchmark value indicating a state of vigorous activity, the output power is reduced or charging is paused; when the animal is detected to be in the rest period corresponding to the rest period preference data, and the real-time body temperature is normal and the activity level is lower than the benchmark value, the charging power is increased for rapid charging; Power supply steps: The electrical energy received by the wireless power supply receiver is synchronously rectified, filtered, and regulated to power the animal wearable device or charge its energy storage battery. End procedure: When charging is completed, the device leaves the power supply range, authentication fails, animal stress response signal is received, or an abnormal state occurs, the wireless power supply transmitter is controlled to stop supplying power and switch to low power standby mode.

[0036] In the identification step, the two-way communication adopts Zigbee wireless communication, 2.4GHz Bluetooth Low Energy communication or 433MHz radio frequency communication, etc. The communication content includes: unique device code, battery type, rated charging power, animal physiological parameter threshold, animal behavior pattern data and historical charging records; the power supply protocol matching verification includes: battery type compatibility check, rated power matching check and communication protocol version verification.

[0037] In the physiological parameter-linked power adjustment step, when multiple animal wearable devices are detected to enter the power supply range simultaneously, the transmitter performs polling power supply according to the following priority strategy: First priority: Equipment for animals whose health status is sick, pregnant, or have young pups; Second priority: determined by the ratio of the remaining power of each device to the expected stay time, the smaller the ratio, the higher the priority; the expected stay time is predicted based on the animal's historical feeding time data or historical resting time data; Third priority: Devices with a high real-time coupling coefficient with the transmitter are given priority.

[0038] The physiological parameter-linked power adjustment step also includes foreign object detection and protection: the transmitter detects the presence of metallic foreign objects by monitoring the rate of change of the Q value of the transmitting coil. When the Q value drops below a preset threshold, the power supply is immediately interrupted. At the same time, the receiver monitors the device temperature through a temperature sensor. When the temperature exceeds a safe threshold, the output power is reduced in stages or the power is completely cut off according to the over-temperature range.

[0039] In the termination step, the animal stress response signal is detected in the following way: the animal's movement state is detected by the triaxial accelerometer integrated in the wireless power supply receiver. When the rate of change of acceleration exceeds a preset threshold and the duration is shorter than a preset time threshold, it is determined that the animal is struggling violently, the power supply is immediately interrupted and the stress event is recorded.

[0040] In other words, to achieve the purpose of the present invention and to address the technical problems of existing magnetic resonance wireless charging systems, such as lack of animal individual identification, inability to perceive animal physiological state, and lack of intelligent scheduling based on behavior prediction, a wireless power supply control method and system for animal wearable devices is provided. This system enables identification and access control, power control linked to physiological parameters, prediction of dwell time based on historical behavior data and intelligent scheduling of multiple devices, and rapid protection against stress.

[0041] This invention provides a wireless power supply control method for wearable animal devices, comprising the following steps: Detection steps: The wireless power supply transmitter sends a 125kHz low-frequency detection signal at a preset period (e.g., 1-5 seconds). By detecting signal reflection or load changes, it is determined whether the animal wearable device has entered the effective range of wireless power supply (5-20cm).

[0042] Identification process: When a device is detected to be within range, the transmitter and receiver establish a Zigbeet wireless communication, 2.4GHz Bluetooth Low Energy (BLE), or 433MHz radio frequency communication link. The receiver sends an identification data packet to the transmitter, including: a unique animal code (such as an RFID number or device serial number); Animal physiological parameter thresholds: the normal body temperature range (e.g., 37.5-39.0℃) and normal heart rate range (e.g., 60-120 beats / minute) of the individual animal. Animal behavior pattern data: the animal's historical activity baseline (e.g., average daily steps), rest period preference (e.g., deep rest period from 22:00 to 06:00 at night), historical feeding time data (e.g., average 10 minutes spent in the feeding area), and historical resting time data (e.g., average 2 hours spent in the resting area). Device-animal binding code: Verifies that the device is indeed worn on the designated animal, preventing the device from being stolen or misused.

[0043] After the transmitter verifies that the identity is valid and the power supply protocol is compatible (battery type compatible, rated power matching, and communication protocol version consistent), a power supply session is established; if the verification fails, power supply is refused and the abnormal event is recorded.

[0044] Coupling establishment steps: After successful authentication, the transmitter activates a high-frequency oscillation circuit, driving the transmitting coil to generate an alternating magnetic field. The receiving coil generates magnetic resonance at the same frequency. The coupling coefficient between the transmitter and receiving coils is controlled within the range of 0.02-0.3, achieving efficient energy transmission.

[0045] Physiological parameter-linked power adjustment steps: During the charging process, the transmitter receives the following feedback data in real time: Device-side data: received voltage, current, power, and device temperature; Animal physiological data: real-time body temperature collected by a temperature sensor integrated into the receiver (such as MAX30208, attached to the animal's skin with an accuracy of ±0.1℃), and real-time activity level collected by a triaxial accelerometer (such as LIS2DH12).

[0046] The transmitter uses a closed-loop PID control algorithm to dynamically adjust the output power according to the following rules: Normal charging mode: When the animal's body temperature is normal and its activity level is below the baseline value, charge at the rated power (e.g., 5W); Power reduction protection mode: When the real-time body temperature exceeds the upper limit of the normal range (e.g., >39.5℃), or the activity level exceeds the baseline value by 150% (indicating strenuous exercise), immediately reduce the output power to 30-50% of the rated value, or suspend charging for 10-30 minutes, and continue charging after the animal has calmed down; Fast charging mode: When the animal is detected to be resting (such as at night), and its body temperature is normal and its activity level is less than 50% of the baseline value, the output power is increased to 120% of the rated value (within the safe range) to quickly replenish the power during the animal's rest period; Multi-device polling scheduling: When multiple devices are online simultaneously, charging time slots are allocated according to the following priorities: First priority: Animals with a health level of sick, pregnant, or cubs, ensuring continuous power supply to their devices; Second priority: The ratio of remaining power to expected stay time (power / time), with a lower ratio indicating higher priority; the expected stay time is predicted based on the animal's historical feeding time or historical resting time data (e.g., if an animal's historical average feeding time is 8 minutes, and it has already stayed for 3 minutes, then the expected remaining stay time is 5 minutes); Third priority: Devices with a high real-time coupling coefficient with the transmitter (high transmission efficiency), transmitting more energy per unit time.

[0047] Power supply steps: The receiving end receives high-frequency AC power and then performs synchronous rectification (using low on-resistance MOSFETs with efficiency >95%), LC filtering (to eliminate high-frequency ripple), and DC-DC regulation (such as buck circuit to step down to the battery charging voltage of 4.2V) to power the device's functional modules or to intelligently charge the lithium battery (CC-CV charging curve).

[0048] Termination Procedure: The transmitter will stop supplying power and switch to low-power standby mode (power consumption < 0.5W) when any of the following conditions occur: Charging complete (battery voltage reaches 4.2V and current <0.05C); The device is out of power supply range (signal strength is below the threshold); Authentication failed; An animal stress response was detected (acceleration rate change exceeds the threshold, such as >5g, duration <2 seconds, indicating violent struggling); Metallic foreign objects were detected (Q value decrease >20%) or the equipment was overheated (>60°C).

[0049] Example 1: Wireless Power Supply System for Smart Dog Collars This embodiment provides a wireless power supply system for medium-sized pet dogs (such as Golden Retrievers, weighing 30kg).

[0050] The system configuration includes a transmitter and a collar. The transmitter is embedded in the pet rest area floor. The transmitting coil has a planar spiral structure with an outer diameter of 45cm and an inductance of 5μH (resonating with 6.78MHz), configured with an LCC compensation network and a quality factor Q=120. The collar has a circumference of 45cm and incorporates a receiving coil (1μH inductance, resonating with 6.78MHz), using a flexible PCB design. The receiver integrates a MAX30208 temperature sensor (attached to the inside of the collar where it contacts the skin), a LIS2DH12 accelerometer, an STM32L072 microcontroller, a BLE5.0 module, and an 800mAh lithium polymer battery.

[0051] The workflow of this invention includes a detection phase and an identification phase. During the detection phase, the transmitter sends a 125kHz detection signal every 2 seconds, with a detection range of 20cm. During identification, when a pet dog enters the rest area, the collar 2 receives the detection signal and sends an identification identifier to the transmitter via BLE. This identifier includes a unique animal code, physiological parameter thresholds, and behavioral pattern data. The unique animal code is PET_GOLDEN_001. The physiological parameter thresholds are a normal body temperature range of 38.0-39.0℃ and a normal heart rate range of 70-120 bpm. The behavioral pattern data includes a daily activity baseline of 8000 steps, a preferred rest period of 22:00-07:00, and an average historical rest area stay of 3 hours.

[0052] The binding code in the workflow is: Verification passed; To establish coupling: the transmitter activates a 6.78MHz oscillation circuit to drive the transmitting coil. The receiving coil of the collar resonates, with a coupling coefficient of approximately 0.2, and the initial transmission power is set to 5W.

[0053] The physiological parameter-linked charging includes scenario A and scenario B, as detailed below: Scenario A (Normal Charging): The pet is lying quietly, with a body temperature of 38.5℃ and low activity level, and is being charged at a rated power of 5W. Scenario B (Power Reduction Protection): The pet suddenly gets up to chase a toy. The accelerometer detects a surge in activity to 200% of the baseline value, and the body temperature rises to 39.2℃. The transmitter immediately reduces the power to 2W to avoid the heat generated by the movement combined with the heat generated during charging. Scenario C (Nighttime Fast Charging): At 23:00, the pet is detected to be in deep sleep with a body temperature of 38.2℃ and an activity level close to 0. The power is increased to 6W for fast charging, and it is expected to be fully charged in 1 hour.

[0054] For stress protection: When the doorbell rings during charging, the pet suddenly jumps up and struggles, with the rate of change of acceleration instantly reaching 8g and lasting for 1.5 seconds. The transmitter immediately cuts off the power, records the stress event, and resumes charging after the pet calms down for 1 minute.

[0055] End: When the battery is fully charged (voltage 4.2V, current <40mA) or the pet leaves the rest area, the transmitter stops supplying power and switches to standby mode (power consumption 0.3W).

[0056] To achieve the objective of the present invention, such as Figures 5-8 As shown, a magnetic resonance wireless power supply control system based on an animal behavior and physiological adaptive model is also provided. The system is used to implement the magnetic resonance wireless power supply control method based on an animal behavior and physiological adaptive model. The system includes at least one wireless power supply transmitting terminal, which has a transmitting resonant network configured to generate an alternating magnetic field; a transmitting-side controller, which integrates a power regulation module and a communication module; and a behavior-physiology model library, which stores dynamic behavior models and physiological parameter safety threshold sets of different animal individuals. At least one wirelessly powered receiver integrated with an animal wearable device has a receiving resonant network for forming magnetic resonance coupling with the transmitting resonant network; a receiver-side controller integrates a synchronous rectification module, an energy storage management module, and a physiological-behavioral sensing module; the physiological-behavioral sensing module includes a temperature sensing unit for acquiring the animal's real-time body temperature and an inertial sensing unit for acquiring the animal's real-time movement posture. The transmitting-side controller performs dynamic adjustment of the transmission power and generation of the priority sorting sequence based on the real-time physiological parameters and real-time behavioral state parameters fed back by the receiving terminal and the corresponding model in the behavioral-physiological model library.

[0057] The transmitting resonant network and the receiving resonant network operate at a specified resonant frequency within the ISM band, and their resonant topologies include at least a series compensation topology, a parallel compensation topology, or an LCC compensation topology; the receiving resonant network adopts a flexible substrate or a bendable winding structure; the outer shell of the receiving terminal has a biocompatible sealing structure, and a heat insulation medium layer is provided on the side facing the animal skin.

[0058] The synchronous rectification module includes a rectification topology composed of at least one controlled switching device. The control terminal of the controlled switching device is connected to the pulse width modulation output terminal of the receiving controller to achieve active rectification that is phase-synchronized with the AC output of the receiving resonant network. The on-resistance of the controlled switching device is less than 50mΩ and the reverse recovery time is less than 100ns.

[0059] The wireless power supply transmitter is fixed to the boundary facility of the animal's restricted activity area by a mounting bracket, and its exposed surface is covered with a scratch- and bite-resistant protective net. The mesh size of the protective net is smaller than the minimum size that the target animal's mouth or claws can penetrate. The animal wearable device is a collar, harness, ear tag, or vest type device, and integrates at least one of a positioning tracking module, a vital signs monitoring module, or a behavior intervention module.

[0060] Specifically, in an embodiment of the present invention, a wireless power supply system for an animal wearable device is provided, including a wireless power supply transmitter, comprising a wireless power supply transmitting coil, a transmitting control circuit, a communication module, and a human-computer interaction module; the transmitting control circuit includes a main controller, an oscillation module, a power drive module, a current and voltage detection module, a Q-value monitoring module, and a protection module; the oscillation module generates a high-frequency drive signal; the main controller is configured to execute the wireless power supply control method described above. The wireless power supply receiver, integrated into the animal wearable device, includes a wireless power supply receiving coil, a receiving control circuit, a communication module, a battery management module, a temperature sensor, a triaxial accelerometer, and functional modules. The receiving control circuit includes a synchronous rectification module, a filtering module, a DC-DC voltage regulator module, a physiological parameter acquisition module, and a microcontroller. The resonant frequency of the wireless power supply receiving coil and the wireless power supply transmitting coil is MHz (e.g., 6.78MHz). The wireless power supply transmitting coil and the wireless power supply receiving coil transmit energy through magnetic resonance. The transmitting end and the receiving end interact bidirectionally through the communication module. The physiological parameter acquisition module is used to collect animal body temperature and activity data and feed them back to the transmitting end.

[0061] Both the wireless power supply transmitting coil and the wireless power supply receiving coil adopt a planar helical structure, wound with Litz wire, and have a quality factor Q>100. The transmitting coil is equipped with an LCC compensation network or an S compensation network, and the receiving coil is equipped with an S compensation network or an LCC compensation network. The inductance of the coil is designed according to the 6.78MHz frequency and the target transmission distance to ensure resonance at this frequency, with a transmission distance of 5-20cm.

[0062] The wireless power supply receiver is housed within a sealed housing, which has an IP67 waterproof and dustproof structure and is made of medical-grade silicone or ABS engineering plastic. The inner wall of the housing is provided with a heat insulation layer to isolate the coil from heat and animal skin.

[0063] The synchronous rectification module includes a rectifier bridge composed of at least one N-channel MOSFET. The gate of the MOSFET is connected to the PWM signal output terminal of the microcontroller to achieve active synchronous rectification. The on-resistance of the MOSFET is less than 30mΩ and the reverse recovery time is less than 50ns.

[0064] The wireless power supply transmitter is fixedly installed or embedded in the animal rest area, feeding area, drinking area or the top of the cage via an adjustable bracket; the surface of the transmitter is covered with an anti-scratch and bite metal mesh cover, the mesh size of which is smaller than the size of the animal's claws and toes.

[0065] The wearable animal device includes one or more of the following: a GPS locator, a body temperature monitoring sensor, a heart rate monitoring sensor, an emotion recognition and perception module, an intelligent barking prevention device, or a two-way communication module; the wireless power supply receiving coil is installed inside the animal collar, harness, ear tag, or vest, and the coil is made using flexible PCB technology or flexible winding technology, which can bend and deform with the animal's movement.

[0066] In other words, the present invention provides a wireless power supply system for wearable animal devices, including a wireless power supply transmitter, which includes a wireless power supply transmitter coil: adopting a planar spiral structure, multi-strand twisted Litz wire to reduce high-frequency skin effect loss, with a quality factor Q>100; the inductance is designed according to the frequency and target transmission distance (5-20cm), and an LCC compensation network or S compensation network is configured to achieve constant current output characteristics; In the launch control circuit, the main controller involved is a 32-bit ARM Cortex-M4 microcontroller that runs the control algorithm; Oscillation module: A crystal oscillator generates a reference frequency, which is then stabilized by a PLL phase-locked loop with an error of <±0.05MHz; Power drive module: Class-EF or Class-E RF power amplifier, efficiency >85%, adjustable output power range 0.5-15W; Current and voltage detection module: Real-time monitoring of the transmitter's operating status; Q-value monitoring module: Calculates the Q-value by detecting the phase difference between the voltage and current of the detection coil, used for foreign object detection; Protection modules: Overcurrent protection (threshold adjustable from 0.5-3A), overtemperature protection (power reduction at >85℃, power cut-off at >95℃), short circuit protection; Communication module: BLE 5.0 module or 433MHz RF module, supporting bidirectional data transmission; Human-computer interaction module: LED indicator lights and buzzer to display charging status or alarm.

[0067] A wireless power supply receiver, integrated into wearable animal devices (collars, ear tags, vests, etc.), includes: Wireless power receiving coil: Similar in structure to the transmitting coil, with inductance matched to the frequency, and equipped with an S-compensation network or an LCC compensation network; it adopts flexible PCB technology or flexible winding technology, and can be bent and deformed with the animal's movement. Receiver control circuit: The synchronous rectification module uses N-channel MOSFETs such as AO3400A or SiR626DP to form a full-bridge rectifier. The gate is driven by the microcontroller PWM signal to realize synchronous turn-on / turn-off with the input AC voltage. The rectification efficiency is 5-10% higher than that of diode rectification. Filtering module: An LC low-pass filter consisting of a 10μH inductor and a 100μF ceramic capacitor; DC-DC voltage regulator module: TPS63001 or similar Buck-Boost chip, with a stable output of 3.3V or 4.2V; Battery Management Module (BMS): Supports CC-CV charging and overcharge / over-discharge protection for lithium batteries; Physiological parameter acquisition module: MAX30208 temperature sensor to acquire animal body temperature, LIS2DH12 triaxial accelerometer to acquire activity level; Microcontroller: Low-power MCU, such as STM32L072, for controlling rectification, communication, and data acquisition; Communication module: A BLE or radio frequency module paired with the transmitter; Functional modules: GPS positioning, heart rate monitoring, emotion recognition, intelligent barking suppression, etc.; Sealed housing: IP67 waterproof and dustproof, made of medical-grade silicone or ABS material, with an inner heat insulation layer.

[0068] For identity recognition and access control: Verify device identity and animal-device binding relationship through two-way communication, obtain individual physiological parameter thresholds and behavioral pattern data, implement personalized power supply strategies, and prevent unauthorized devices from accessing the device.

[0069] For intelligent control linked to physiological parameters: It is the first to link the animal's real-time body temperature and activity level with the 6.78MHz wireless charging power, and automatically adjust the power according to the physiological state to avoid forcibly charging the animal when it is sick, exercising, or under stress, thus reflecting the concept of animal welfare.

[0070] For multi-device scheduling based on behavior prediction: predict animal dwell time using historical feeding time and rest area dwell time data, prioritize power supply to animals that urgently need charging and are about to leave, and improve the overall energy utilization efficiency of the system.

[0071] Rapid stress response protection: The system detects violent struggles by an animal using an accelerometer and cuts off power within 2 seconds to prevent injury to the animal or damage to the equipment.

[0072] The transmission distance is 5-30cm, no precise alignment is required, and it is adapted to the characteristics of animal activity.

[0073] High protection and biocompatibility: The receiver is sealed with IP67-rated medical-grade silicone, and the inner wall heat insulation layer prevents burns, making it suitable for long-term wear.

[0074] Example 2: Multi-device polling power supply system for dairy farms like Figure 4 As shown, this embodiment is applied to the feeding area of ​​a dairy farm, and can charge multiple dairy cows at the same time.

[0075] System configuration: Transmitter: Installed 20cm above the feeding trough, the transmitting coil is the same size as the feeding trough, the operating frequency is 6.78MHz, and the maximum output power is 15W.

[0076] Cow ear tags: Each cow wears an ear tag with a built-in receiving coil (0.5μH inductance, resonating with 6.78MHz), temperature sensor, and acceleration sensor.

[0077] Multi-device scheduling scenario: At time T0: Three dairy cows (cow A, cow B, and cow C) enter the feeding area simultaneously; Identity verification (i.e., the transmitter identifies the identity): Cow A: Health level - sick (under treatment for mastitis), remaining battery 20%, historical average feeding time 8 minutes, currently staying for 2 minutes, estimated remaining stay 6 minutes; Awesome: Health level - pregnant, remaining battery 50%, historical average eating time 15 minutes, currently staying for 5 minutes, estimated remaining stay 10 minutes; Cow C: Health level - normal, remaining battery 30%, historical average feeding time 20 minutes, currently staying for 3 minutes, estimated remaining stay time 17 minutes.

[0078] Priority calculation: A: Battery level / estimated stay time = 20 / 6 = 3.33 (illness is the highest priority); Best (B): 50 / 10 = 5.0; Best (C): 30 / 17 = 1.76 (smallest ratio, second highest priority) Polling sequence: 0-6 minutes: Charge transformer A at full power (expected to reach 70%); 6-12 minutes: Charge transformer C; 12-20 minutes: Charge transformer B; After 20 minutes: Turbine C continues to charge until completion.

[0079] Intelligent scheduling ensures that equipment for sick cattle receives priority for energy replenishment, thus avoiding interruptions in disease monitoring.

[0080] Example 3: Wildlife Monitoring Collar System This embodiment is applied to wildlife conservation, monitoring foxes (small) and wolves (medium).

[0081] System Configuration: Transmitter: Installed at a water source in the wild, powered by solar energy, operating at a frequency of 6.78MHz.

[0082] Fox collar: coil inductance 0.3μH, resonates with 6.78MHz; Wolf collar: coil inductance 0.4μH, resonates with 6.78MHz.

[0083] The two animals use the same 6.78MHz frequency, distinguish their species through identification, and call the corresponding physiological parameter thresholds (normal body temperature of foxes is 38.5-40.0℃, and that of wolves is 37.5-39.5℃) for linkage control.

[0084] This invention obtains a unique identifier corresponding to a target animal and retrieves a dynamic behavior model and a set of physiological parameter safety thresholds bound to that individual animal based on this identifier. The dynamic behavior model includes at least the animal's activity intensity baseline, resting period distribution map, and dwelling habit prediction parameters. When a wearable device worn on the target animal is detected entering a preset charging area, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. During power transmission, the wearable device's power status parameters, the target animal's instantaneous physiological parameters, and instantaneous behavioral status parameters are acquired in real time. Based on the comparison results between the instantaneous physiological parameters and the set of physiological parameter safety thresholds, and the matching degree between the instantaneous behavioral status parameters and the dynamic behavior model, the magnetic resonance coupling link is dynamically adjusted. The transmission power of the coupling link; when multiple individual animals and corresponding wearable devices are in the preset charging field, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority sorting sequence is generated in combination with the current energy storage status of each device, and charging time slots are allocated according to the sorting sequence; in response to the charging completion signal, device departure signal or abnormal state trigger signal, the magnetic resonance coupling link is cut off and a low-power listening mode is entered, and a system corresponding to the method is provided; it can solve the following technical problems existing when the magnetic resonance wireless charging technology is applied to animal wearable devices: lack of individual animal identification and personalized power supply strategy, inability to adjust charging power according to the real-time physiological state of the animal, lack of intelligent scheduling of multiple devices based on animal behavior prediction, and lack of rapid protection mechanism for animal stress response.

[0085] In other words, the present invention establishes a dynamic behavioral model and a set of physiological parameter safety thresholds bound to individual animals, and on this basis implements two-way identity authentication, power adaptive adjustment linked to physiological state, and multi-device priority scheduling based on dwelling habit prediction. This achieves safe, efficient, and personalized wireless power supply for animal wearable devices. At the same time, through rapid stress response and dual protection mechanisms against foreign objects / overheating, it improves animal welfare and system reliability during the charging process.

[0086] In other words, the present invention employs a method with detection, identification, coupling establishment, physiological parameter-linked power adjustment, power supply, and termination steps. The system includes a wireless power supply transmitter and a receiver integrated into the animal wearable device. It verifies device identity and obtains individual animal physiological parameter thresholds through bidirectional communication. During charging, it monitors the animal's body temperature and activity status in real time, dynamically adjusts the charging power, and intelligently schedules multiple devices based on predicted dwell time according to animal behavior patterns. This achieves safe, efficient, and personalized wireless power supply, suitable for continuous power supply of monitoring equipment for pets, livestock, and wildlife.

[0087] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model, characterized in that, The method includes the following steps: Obtain a unique identifier corresponding to the target animal, and retrieve the dynamic behavior model and physiological parameter safety threshold set bound to the individual animal based on the identifier; wherein, the dynamic behavior model includes at least the animal's activity intensity baseline, static time distribution map, and dwelling habit prediction parameters; When the wearable device worn by the target animal is detected to enter the preset charging field, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. During power transmission, the power status parameters fed back by the wearable device, the instantaneous physiological parameters and instantaneous behavioral status parameters of the target animal are acquired in real time; and the transmission power of the magnetic resonance coupling link is dynamically adjusted based on the comparison results of the instantaneous physiological parameters with the set of physiological parameter safety thresholds and the degree of matching between the instantaneous behavioral status parameters and the dynamic behavior model. When multiple individual animals and their corresponding wearable devices are in the preset charging area, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority sorting sequence is generated in combination with the current energy storage status of each device, and charging time slots are allocated according to the sorting sequence. In response to a charging completion signal, a device departure signal, or an abnormal state trigger signal, the magnetic resonance coupling link is disconnected and the system switches to a low-power monitoring mode.

2. The magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to claim 1, characterized in that, When the wearable device worn on the target animal is detected to have entered the preset charging area, bidirectional authentication is performed based on the unique identifier. After successful authentication, a magnetic resonance coupling link for power transmission is established. The method further includes: Verify the binding relationship between the wearable device and the target animal, and verify the matching of the electrical parameters of the wearable device with the output capability of the wireless power supply transmitter; wherein, the electrical parameters include at least the energy storage unit type, rated charging power and communication protocol version.

3. A magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to claim 1 or 2, characterized in that, During power transmission, the method further includes real-time acquisition of power state parameters fed back by the wearable device, instantaneous physiological parameters of the target animal, and instantaneous behavioral state parameters; and dynamically adjusting the transmission power of the magnetic resonance coupling link based on the comparison results of the instantaneous physiological parameters with the set of safe thresholds for physiological parameters, and the degree of matching between the instantaneous behavioral state parameters and the dynamic behavior model. When the instantaneous physiological parameters exceed the upper limit of the set of safe physiological parameter thresholds, or when the instantaneous behavioral state parameters indicate that the target animal is in a preset high dynamic stress state, the transmission power is reduced to a safe value below the nominal power or intermittent power supply is executed. When the instantaneous behavioral state parameter matches the static time period distribution map, and the instantaneous physiological parameter is within the set of safe physiological parameter thresholds, the transmission power is increased to an enhanced value higher than the nominal power.

4. The magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to claim 1, characterized in that, When multiple individual animals and their corresponding wearable devices are in the preset charging area, the expected effective charging time window is calculated based on the dwelling habit prediction parameters of each animal, and a differentiated priority ranking sequence is generated in combination with the current energy storage status of each device. Charging time slots are then allocated according to the ranking sequence. The method further includes: Animals that meet the preset special care conditions are given the first priority. The special care conditions include pathological state, pregnancy state or young state. For animal individuals not assigned the first priority, the second priority is determined based on the ratio of the current remaining energy storage of each device to the expected effective charging time window, with a higher priority being the smaller the ratio. For animal individuals with the same second priority, the third priority is determined based on the real-time coupling efficiency between them and the power supply transmitter, with higher coupling efficiency resulting in higher priority.

5. A magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to claim 1 or 4, characterized in that, The method further includes: The presence of metallic foreign objects in the charging field is determined by monitoring the rate of change of the quality factor of the transmitting coil used to generate magnetic resonance coupling, and graded overheat protection is performed by receiving the device temperature fed back by the wearable device; wherein, when the rate of change of the quality factor exceeds a preset drop threshold, or the device temperature exceeds a first temperature threshold, the power supply is interrupted.

6. The magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model according to claim 1, characterized in that, The step of disconnecting the magnetic resonance coupling link and switching to a low-power monitoring mode in response to a charging completion signal, a device departure signal, or an abnormal state trigger signal also includes: The output characteristics of the accelerometer in the wearable device are monitored; when the rate of change of the output characteristic in the time domain exceeds a preset struggle threshold and the duration is shorter than a preset short-term impact window, it is determined to be an instantaneous stress struggle and a power interruption is triggered.

7. A magnetic resonance wireless power supply control system based on an animal behavioral and physiological adaptive model, characterized in that, The system is used to implement the magnetic resonance wireless power supply control method based on an animal behavioral and physiological adaptive model as described in any one of claims 1 to 6; the system includes at least one wireless power supply transmitting terminal, which has a transmitting resonant network configured to generate an alternating magnetic field; and a transmitting-side controller, which integrates a power regulation module and a communication module. A behavioral-physiological model library stores dynamic behavioral models and safety threshold sets of physiological parameters for different animal individuals; At least one wirelessly powered receiver integrated with an animal wearable device has a receiving resonant network for forming magnetic resonance coupling with the transmitting resonant network; a receiver-side controller integrates a synchronous rectification module, an energy storage management module, and a physiological-behavioral sensing module; the physiological-behavioral sensing module includes a temperature sensing unit for acquiring the animal's real-time body temperature and an inertial sensing unit for acquiring the animal's real-time movement posture. The transmitting-side controller performs dynamic adjustment of the transmission power and generation of the priority sorting sequence based on the real-time physiological parameters and real-time behavioral state parameters fed back by the receiving terminal and the corresponding model in the behavioral-physiological model library.

8. A magnetic resonance wireless power supply control system based on an animal behavioral and physiological adaptive model according to claim 7, characterized in that, The transmitting resonant network and the receiving resonant network operate at a specified resonant frequency within the ISM band, and their resonant topologies include at least one of series compensation topology, parallel compensation topology, or LCC compensation topology; the receiving resonant network adopts a flexible substrate or a bendable winding structure; the outer shell of the receiving terminal has a biocompatible sealing structure, and a heat insulation medium layer is provided on the side facing the animal skin.

9. A magnetic resonance wireless power supply control system based on an animal behavioral and physiological adaptive model according to claim 7, characterized in that, The synchronous rectification module includes a rectification topology composed of at least one controlled switching device. The control terminal of the controlled switching device is connected to the pulse width modulation output terminal of the receiving controller to achieve active rectification that is phase-synchronized with the AC output of the receiving resonant network. The on-resistance of the controlled switching device is less than 50mΩ and the reverse recovery time is less than 100ns.

10. A magnetic resonance wireless power supply control system based on an animal behavioral and physiological adaptive model according to claim 7, characterized in that, The wireless power supply transmitter is fixed to the boundary facility of the animal's restricted activity area by a mounting bracket, and its exposed surface is covered with a scratch- and bite-resistant protective net. The mesh size of the protective net is smaller than the minimum size that the target animal's mouth or claws can penetrate. The animal wearable device is a collar, harness, ear tag, or vest type device, and integrates at least one of a positioning tracking module, a vital signs monitoring module, or a behavior intervention module.

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