Mouse repeller and intelligent mouse repelling method based on scene self-adaption and intelligent grading

Abstract

This application relates to the field of rodent control technology, providing a rodent repeller and intelligent rodent control method based on scene adaptation and intelligent grading. The rodent repeller includes an intelligent sensing module for acquiring biological activity data of a target area over a time period; a control core module connected to the intelligent sensing module for selecting a rodent control mode matching the target area based on the biological activity data; and an execution control module connected to the control core module for executing corresponding differentiated rodent control strategies based on the selected rodent control mode. By constructing an intelligent closed loop of "perception-decision-execution," this application enables the rodent repeller to automatically match the corresponding rodent control mode and execute differentiated rodent control strategies based on the biological activity data of the target area. This solves the core pain points of traditional rodent repellers, such as their single strategy and inability to adapt to complex and changing application scenarios. While ensuring rodent control effectiveness, it greatly improves the flexibility and environmental compatibility of the rodent repeller.

Description

Technical Field

[0001] This application belongs to the field of rodent control technology, and in particular relates to a rodent repellent device and intelligent rodent repellent method based on scene adaptation and intelligent classification. Background Technology

[0002] Rodent infestation has been a pressing problem for human society since ancient times, seriously affecting daily life and environmental safety. Currently, common rodent control technologies mainly include chemical agents, physical traps, and electronic rodent repellers. These methods have certain limitations: chemical agents can easily cause environmental pollution and safety hazards; physical devices rely on manual operation, resulting in high maintenance costs and low efficiency. Electronic rodent repellers use ultrasonic waves, flashing white lights, and bionic voice commands to repel rodents and are currently the mainstream method. However, they cannot identify and differentiate between different environmental conditions and the severity of rodent infestation, often requiring design for single scenarios, lacking intelligence and compatibility, thus limiting their application scope.

[0003] For example, in human living areas, rodents prefer to be out at night, and flashing white lights and bionic voices can disrupt normal life. Moreover, most electronic rodent repellers have complex circuit structures and high energy consumption, making them unsuitable for home use. In areas such as power distribution rooms, rats may sneak into transformers, causing short circuits or even fires. When rats approach high-voltage lines, the strong magnetic field can cause them to inductively strike and burn out electrical equipment. These areas require stricter rodent control measures, but most electronic rodent repellers only activate ultrasonic modules after detecting rodents, lacking preventative measures, resulting in low efficiency and giving rats opportunities to escape, creating safety hazards.

[0004] In summary, the market currently lacks a smart rodent repeller that can adapt to different application scenarios and effectively control rodent infestations in all of them. Summary of the Invention

[0005] This application provides a solution to the problems in the prior art where rodent repellents cannot adapt to different environmental conditions and rodent infestation levels, are often designed only for a single scenario, lack intelligence and compatibility, and have limited application scope.

[0006] In a first aspect, embodiments of this application provide a mouse repellent based on scene adaptation and intelligent hierarchical classification, comprising: The intelligent sensing module is used to acquire biological activity data of a target area within a certain time period; The control core module, connected to the intelligent sensing module, is used to select a rodent-proof working mode that matches the target area based on the biological activity data. An execution control module, connected to the control core module, is used to execute corresponding differentiated rodent-proof strategies according to the selected rodent-proof working mode.

[0007] Compared with the prior art, the beneficial effects of the embodiments of this application are as follows: by constructing an intelligent closed loop of "perception-decision-execution", the rodent repeller can automatically match the corresponding rodent-proof working mode and execute differentiated rodent-proof strategies based on the biological activity data of the target area. This solves the core pain point of traditional rodent repellers having a single strategy and being unable to adapt to complex and ever-changing application scenarios. While ensuring the effectiveness of rodent repellency, it greatly improves the flexibility and environmental compatibility of the rodent repeller.

[0008] In one possible implementation of the first aspect, the intelligent sensing module is provided in multiple groups, and the multiple groups of intelligent sensing modules are evenly spaced along the outer side of the rodent repeller. The intelligent sensing module includes a microwave radar sensor, an infrared pyroelectric sensor, and a fusion processing unit. The microwave radar sensor is used to acquire the motion characteristics of the organism in the target area; The infrared pyroelectric sensor is used to acquire the infrared signal characteristics of the organism in the target area; The fusion processing unit is used to distinguish the type of the organism as human, rodent or other types based on a preset organism discrimination threshold, the motion characteristics and the infrared signal characteristics; The fusion processing unit is also used to record the daily activity level of the human and the daily activity frequency and longest single activity duration of the rodents, to obtain the activity data of the organism.

[0009] In the above scheme, multiple sets of intelligent sensing modules are deployed around the perimeter to achieve omnidirectional monitoring of the target area without blind spots. Through data fusion of microwave radar and infrared pyroelectric sensors, it is possible to distinguish between active targets such as humans and rodents with high precision. At the same time, it quantifies and records the activity patterns of humans and rodents, laying a reliable data foundation for the intelligent decision-making of the control core module.

[0010] In one possible implementation of the first aspect, the anti-rodent operating mode includes a low-power anti-rodent mode, a silent anti-rodent mode, a standard anti-rodent mode, and a powerful anti-rodent mode, and the control core module is configured as follows: When the biological activity data meets the first rule, the system switches to the powerful rodent-proof mode; wherein, the first rule is that the daily activity frequency of the rodent is greater than a first frequency threshold or the longest single activity duration of the rodent is greater than a first duration threshold. When the biological activity data meets the second rule, the system switches to the silent rodent-proof mode; wherein, the second rule is that the human daily activity level is greater than the activity threshold. When the biological activity data meets the third rule, the system switches to the low-power anti-rodent mode; wherein the third rule is that the daily activity frequency of the rodents is less than a second frequency threshold, and the second frequency threshold is lower than the first frequency threshold. When the organism activity data meets the fourth rule, the system switches to the standard rodent-proof mode; wherein the fourth rule does not meet any of the first, second, and third rules. The priority of the first rule is greater than the priority of the second rule, which is greater than the priority of the third rule, which is greater than the priority of the fourth rule.

[0011] The above solution clarifies the quantitative rules for switching between multiple modes, following the priority order of rodent prevention, user experience, and energy saving, to achieve automated and precise switching between different rodent prevention modes. Among them, the low-power mode saves energy, the powerful mode deals with severe rodent infestation, the silent mode is suitable for human activity periods, and the standard mode is suitable for conventional protection, thereby reasonably improving the scenario compatibility and user experience of the rodent repeller.

[0012] In one possible implementation of the first aspect, the execution control module includes an odor diffusion unit, a knocking simulation unit, multiple bright light warning units, multiple ultrasonic output units, and multiple simulated sound effect units; The odor diffusion unit is located inside the upper part of the rodent repeller, and the bottom of the rodent repeller is provided with a hollow medicine storage slot; The knocking simulation unit is located inside the lower part of the rodent repeller, and the bottom outer edge of the rodent repeller is provided with a support structure that contacts the placement plane; wherein, the output end of the knocking simulation unit can extend toward the placement plane under the action of external force, and the knocking simulation unit has a built-in sound pickup and amplification component; Multiple high-intensity warning units and multiple ultrasonic output units are evenly spaced along the outer circumferential surface of the rodent repeller. Multiple simulated sound effect units are arranged radially inside multiple high-intensity light warning units in a one-to-one correspondence.

[0013] In the above scheme, the layout of the strong light warning unit, ultrasonic output unit and simulated sound effect unit arranged in a circumferential layer provides the optimal physical basis for generating a sound and light composite deterrent field with surround sound and directional deception. At the same time, the coverage and impact dimension of the rodent repelling effect are expanded based on the odor diffusion unit and the knocking simulation unit.

[0014] In one possible implementation of the first aspect, the control core module is further configured as follows: When the anti-rodent working mode is the low-power anti-rodent mode, the odor diffusion unit is controlled to start and stop periodically. When the anti-rodent working mode is the silent anti-rodent mode, the ultrasonic output unit is controlled to continuously output low-frequency ultrasonic waves. When the rodent-proof working mode is the standard rodent-proof mode, the odor diffusion unit is controlled to start and stop periodically, the ultrasonic output unit is controlled to switch on and off periodically, and the frequency-converted ultrasonic waves are output during the on-cycle of the ultrasonic output unit. When the anti-rodent working mode is the strong anti-rodent mode, the ultrasonic output unit is controlled to continuously output high-frequency ultrasonic waves.

[0015] The above scheme clarifies the specific actions of the control module in the four basic rodent-proof modes of the rodent repellent. The actions of each rodent-proof mode take into account the optimal balance between rodent-repelling function, user experience and energy consumption.

[0016] In one possible implementation of the first aspect, the intelligent sensing module is further configured to obtain the distance between the target rodent and the rodent repeller and the dwell time of the target rodent when rodent activity is detected in real time; The control core module is also used to switch to the primary rodent-repelling mode when the distance between them is greater than a distance threshold or the dwell time is less than a second duration threshold; otherwise, it switches to the advanced rodent-repelling mode. The execution control module is also used to execute corresponding differentiated rodent control strategies according to the switched rodent control working mode; The control core module is also used to switch to the current rodent-proof working mode during the continuous period of the rodent-repelling working mode when the duration during which the intelligent sensing module does not detect rodent activity reaches the third duration threshold.

[0017] In the above solution, based on macro-level scene adaptation, a real-time dynamic response mechanism for individual rodent intrusion events is added to improve rodent control efficiency. The solution rapidly categorizes rodent control into basic and advanced modes based on the distance between the target rodent and the repellent device and its dwell time, enabling dynamic and precise adjustment of the rodent control strategy. Simultaneously, it automatically reverts to normal rodent-proof mode after the threat is eliminated, balancing rodent control effectiveness and energy consumption optimization.

[0018] In one possible implementation of the first aspect, the control core module is further configured as follows: When the rodent-repelling working mode is the primary rodent-repelling mode, the strong light warning unit is controlled to continuously flash strong light. And / or, control multiple ultrasonic output units to continuously output composite ultrasonic signals with different frequencies and / or waveforms that are correlated with each other in time or phase; And / or, control the odor diffusion unit to remain continuously activated; as well as, When the mouse-repelling working mode is the advanced mouse-repelling mode, under the operation of the primary mouse-repelling mode, the simulated sound effect unit is further controlled to retrieve at least one simulated audio file from the pre-stored simulated audio file library, and digital reverberation processing and multi-channel spatial audio rendering processing are performed on the retrieved simulated audio file to obtain multi-channel audio signals. Then, the multi-channel audio signals are correspondingly allocated and output to multiple simulated sound effect units for synchronous playback. And / or, control the output end of the simulated striking unit to extend downward to strike the placement plane, and pick up and amplify the sound signal generated by the striking through the sound pickup and amplification component.

[0019] The above scheme achieves a gradient enhancement of rodent-repelling intensity. The primary mode uses the synergistic interference of strong light, ultrasound, and odor. The ultrasound is processed with reverberation to form a directionally ambiguous ultrasonic interference field, thereby disrupting the sound source localization and causing physiological discomfort and disorientation in rodents. The advanced mode further introduces simulated sound effects rendered with spatial audio and physical knocking sound effects processed with signal amplification on the basis of the primary mode, enhancing the shock effect and jointly creating a highly realistic biological approach scenario. This effectively repels rodents from both physiological and psychological perspectives, significantly reducing rodent adaptability and the probability of re-entry.

[0020] In one possible implementation of the first aspect, the rodent repeller further includes an IoT interaction module connected to the control core module; The IoT interaction module is configured to enable bidirectional data interaction between the rodent repeller and the remote management platform, so that the remote management platform can monitor and control the rodent repeller based on its operating data.

[0021] In the above solution, by adding an IoT interaction module, the rodent repeller is upgraded from a standalone smart device to an IoT node, thereby supporting the reporting of operational data and the reception of remote commands. This enables users or management platforms to perform remote status monitoring, policy configuration, and centralized control, greatly expanding the application scenarios and management dimensions of the rodent repeller and laying the foundation for large-scale operation and maintenance in scenarios requiring multi-device deployment.

[0022] Secondly, embodiments of this application provide an intelligent rodent-repelling method, implemented using a rodent repellent device based on scene adaptation and intelligent hierarchical classification as described in any one of the first aspects, the intelligent rodent-repelling method comprising: To obtain biological activity data for a target area within a given time period; Select a rodent control mode that matches the target area based on the biological activity data; The corresponding differentiated rodent control strategy is executed according to the selected rodent control working mode.

[0023] In one possible implementation of the second aspect, the intelligent rodent control method further includes: When rodent activity is detected in real time, the distance between the target rodent and the rodent repeller and the duration of the target rodent's stay are obtained; When the distance between them is greater than a distance threshold or the dwell time is less than a second duration threshold, switch to the primary rodent control mode; otherwise, switch to the advanced rodent control mode. Execute the corresponding differentiated rodent control strategy according to the switched rodent control working mode; During the duration of the rodent control mode, when the duration of no rodent activity detected reaches the third duration threshold, the system switches to the current rodent prevention mode.

[0024] Thirdly, embodiments of this application provide a computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the intelligent mouse-repelling method described in any one of the second aspects above.

[0025] Fourthly, embodiments of this application provide a computer program product that, when run on a terminal device, causes the terminal device to execute the intelligent mouse-repelling method described in any one of the second aspects above.

[0026] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a schematic diagram of the structural principle of a rodent repeller based on scene adaptation and intelligent hierarchical classification provided in an embodiment of this application; Figure 2 This is a schematic diagram of the structural principle of another rodent repeller based on scene adaptation and intelligent grading provided in an embodiment of this application; Figure 3 This is a schematic diagram of the specific structure of a mouse repellent based on scene adaptation and intelligent hierarchical classification provided in an embodiment of this application; Figure 4 This is a front structural diagram of a mouse repellent based on scene adaptation and intelligent hierarchical classification provided in an embodiment of this application; Figure 5This is a flowchart illustrating an embodiment of the intelligent rodent control method provided in this application; Figure 6 This is a flowchart illustrating step S1 of an intelligent rodent control method provided in an embodiment of this application; Figure 7 This is a flowchart illustrating step S2 in an embodiment of the intelligent rodent control method provided in this application; Figure 8 This is a flowchart illustrating step S3 in an embodiment of the intelligent rodent control method provided in this application; Figure 9 This is a flowchart illustrating another intelligent rodent control method provided in an embodiment of this application; Figure 10 This is a flowchart illustrating step S8 of another intelligent rodent control method provided in an embodiment of this application.

[0029] Legend: 1-Intelligent sensing module; 2-Control core module; 3-Execution control module; 4-IoT interaction module; 5-Interface module; 11-Microwave radar sensor; 12-Infrared pyroelectric sensor; 13-Fusion processing unit; 121-Fresnel lens; 31-Odor diffusion unit; 32-Strong light warning unit; 33-Ultrasonic output unit; 34-Simulated sound effect unit; 35-Tapping simulation unit; 311-Hollowed medicine trough; 312-Supporting structure. Detailed Implementation

[0030] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0031] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0032] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0033] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0034] This application provides a mouse repellent based on scene adaptation and intelligent hierarchical classification. This is an example, not a limitation. See also... Figure 1 The rodent repeller includes an intelligent sensing module 1, a control core module 2, and an execution control module 3. The control core module 2 is connected to both the intelligent sensing module 1 and the execution control module 3, and it should be noted that the control core module 2 maintains bidirectional communication connections with both the intelligent sensing module 1 and the execution control module 3. The control core module 2 can acquire data collected by the intelligent sensing module 1 and configure its parameters, while also sending execution commands to the execution control module 3 and monitoring its execution status.

[0035] In this embodiment, the intelligent sensing module 1 is used to acquire biological activity data of the target area within a time period, the control core module 2 is used to select a rodent-proofing mode that matches the target area based on the biological activity data, and the execution control module 3 is used to execute the corresponding differentiated rodent-proofing strategy according to the selected rodent-proofing mode. The target area refers to the area formed by a fixed radius around the rodent repeller, typically around fifty square meters, centered on the repeller. The time period represents the data collection cycle and can be set by the user.

[0036] This embodiment provides a rodent repeller based on scene adaptation and intelligent grading. By constructing an intelligent closed loop of "perception-decision-execution", the rodent repeller can automatically match the corresponding rodent-proof working mode and execute differentiated rodent-proof strategies according to the biological activity data of the target area. This solves the core pain point of traditional rodent repellers, which have a single strategy and cannot adapt to complex and ever-changing application scenarios. While ensuring the effectiveness of rodent repellency, it greatly improves the flexibility and environmental compatibility of the rodent repeller.

[0037] Furthermore, to meet the needs of centralized and intelligent rodent control systems deployed over large areas and with multiple devices, see [reference needed]. Figure 2 The rodent repeller also includes an IoT interaction module 4 connected to the control core module 2. The IoT interaction module 4 is configured to enable bidirectional data interaction between the rodent repeller and the remote management platform, so that the remote management platform can monitor and control the rodent repeller based on its operating data.

[0038] In this embodiment, the IoT interaction module 4 integrates a wireless communication unit (such as Wi-Fi, 4G / 5G, LoRa, or NB-IoT module), which can adapt to network deployments in different regions through different wireless communication units. The core functions of the IoT interaction module 4 are divided into two main sections: data uploading and remote control, while also supporting local fault alarms and remote parameter upgrades.

[0039] For example, in order to upload operational data in real time, the IoT interaction module 4 reads biological activity data, operational status data of each module of the rodent repeller, and fault alarm data of abnormal modules from the control core module 2 according to a preset period (such as once per hour) or triggering conditions (such as detecting rodent activity or mode switching).

[0040] For example, the control commands issued and executed by the remote management platform can be roughly divided into three categories: first, remote switching commands for working modes, where users can manually select the anti-rodent mode through the platform, which has a higher priority than the automatic switching rules; second, remote calibration commands for threshold parameters, which can adjust the threshold of the judgment rule or adjust the specific strategy parameters of the execution control module 3 (such as adjusting the ultrasonic frequency conversion range); and third, remote operation and maintenance commands for the equipment, including commands for remote restarting of the rodent repeller, triggering sensor calibration, and upgrading firmware versions, so that equipment maintenance can be completed without on-site operation.

[0041] This embodiment provides a mouse repeller based on scene adaptation and intelligent hierarchical design. By adding an IoT interaction module, the mouse repeller is upgraded from a standalone smart device to an IoT node, thereby supporting the reporting of operational data and the reception of remote commands. This enables users or management platforms to perform remote status monitoring, policy configuration, and centralized control, greatly expanding the application scenarios and management dimensions of the mouse repeller and laying the foundation for large-scale operation and maintenance in scenarios requiring multi-device deployment.

[0042] Further, see Figures 1 to 4 The intelligent sensing module 1 is provided in multiple groups, and the multiple groups of intelligent sensing modules 1 are evenly spaced along the outer side of the rodent repeller. Each group of intelligent sensing modules 1 includes a microwave radar sensor 11, an infrared pyroelectric sensor 12 and a fusion processing unit 13. The microwave radar sensor 11 and the infrared pyroelectric sensor 12 are installed side by side in the same direction to ensure that the detection areas overlap.

[0043] In one possible implementation, the microwave radar sensor 11 is used to acquire the motion characteristics of organisms in the target area, the infrared pyroelectric sensor 12 is used to acquire the infrared signal characteristics of organisms in the target area, and the fusion processing module 13 is used to distinguish the type of the organism as human, rodent or other based on the preset organism discrimination threshold, motion characteristics and infrared signal characteristics.

[0044] As an example and not a limitation, the above process is described in detail below. The microwave radar sensor 11 is a 24GHz microwave radar. The microwave radar sensor 11 actively transmits microwave signals using the Doppler effect principle and receives reflected signals at a preset sampling frequency. When it encounters a moving object, the frequency of the reflected signal changes. Regardless of whether there is biological activity in the target area, the microwave radar sensor 11 will maintain sampling after being powered on. Furthermore, as... Figure 3 As shown, the infrared pyroelectric sensor 12 is a dual-element pyroelectric sensor with a Fresnel lens 121. The Fresnel lens 121 can focus and amplify the infrared signal. The infrared pyroelectric sensor 12 uses the polarization characteristics of pyroelectric materials to detect the infrared signal radiated by animals. The core structure includes a dual-sensor complementary design, which effectively suppresses interference caused by changes in ambient temperature. The infrared pyroelectric sensor 12 is in a low-power standby state when there is no biological activity in the target area. Only when a biological object enters the target area will it trigger changes in infrared thermal radiation, and the infrared pyroelectric sensor 12 will detect the biological object and collect the corresponding data.

[0045] Specifically, the motion features collected by the microwave radar sensor 11 include motion speed, motion amplitude, and motion frequency. Humans typically correspond to higher motion speed, higher motion amplitude, and lower motion frequency, while rodents correspond to lower motion speed, lower motion amplitude, and higher motion frequency. Similarly, the infrared signal features collected by the infrared pyroelectric sensor 12 include infrared radiation intensity and heat source area. Humans typically correspond to higher infrared thermal radiation intensity and a larger heat source area, while rodents correspond to lower infrared thermal radiation intensity and a smaller heat source area. The fusion processing unit 13 pre-stores various feature threshold intervals for humans and rodents. First, it takes the motion speed, motion amplitude, motion frequency, infrared radiation intensity, and heat source area simultaneously received by the fusion processing unit 13 as a set of data and compares them one by one with the feature threshold intervals to obtain a human matching score and a rodent matching score for each feature parameter. For example, assuming that the human movement speed is between 0.2 and 5 meters per second, and the mouse movement speed is between 0.05 and 1.5 meters per second, and the microwave radar sensor 11 collects the biological movement speed of 0.8 m / s, then the human matching score for this speed feature is 0.65, while the mouse matching score is 0.95. The human matching scores and mouse matching scores for other features are calculated in the same way.

[0046] Of course, if any feature does not belong to the feature threshold range for humans or mice, then the data set belongs to another type.

[0047] Furthermore, based on the human matching score and rodent matching score for each feature, a weighted sum is used to calculate the total human matching score and the total rodent matching score, respectively. If the total human matching score is high and the total rodent matching score is low, the organism is determined to be human; if the total rodent matching score is high and the total human matching score is low, it is determined to be rodent. If neither of these two conditions applies, it is determined to be another type. It should be noted that the type determination result of a single frame only serves as a warning; the organism type determination is confirmed only after multiple consecutive frames of similar results, typically three frames.

[0048] In one feasible scheme, after identifying the organism type, the fusion processing unit 13 is also used to record the daily activity level of humans and the daily activity frequency and longest single activity duration of rodents to obtain organism activity data. Specifically, the daily activity level of humans refers to the percentage of effective activity time of humans in the target area within a day (24-hour cycle), the daily activity frequency of rodents refers to the total number of times rodents appear in the target area within a day, and the longest single activity duration of rodents refers to the longest duration for which a single rodent activity is continuously confirmed (the complete time period from when the rodent enters the target area to when it leaves).

[0049] This embodiment provides a rodent repeller based on scene adaptation and intelligent hierarchical classification. Through the circumferential deployment of multiple intelligent sensing modules, it achieves omnidirectional monitoring of the target area without blind spots. By fusing data from microwave radar and infrared pyroelectric sensors, it can accurately distinguish between active targets such as humans and rodents, and quantitatively record the activity patterns of humans and rodents, laying a reliable data foundation for the intelligent decision-making of the control core module.

[0050] Optionally, the control core module 2 incorporates four rodent-proofing modes: low-power rodent-proofing mode, silent rodent-proofing mode, standard rodent-proofing mode, and powerful rodent-proofing mode. The powerful rodent-proofing mode is used in areas with severe rodent infestations; the low-power mode is used in areas with minimal human presence for extended periods; the silent mode is used in scenarios where humans spend considerable time in the area; and the standard mode balances various situations and can be applied to other routine rodent-proofing scenarios. The trigger for each rodent-proofing mode can be set by the user, or the control core module 2 can intelligently select the appropriate mode for the target area based on the collected biological activity data over a period of time. The control core module 2 reselects the rodent-proofing mode periodically. For example, if the rodent infestation is initially severe in an area, the control core module 2 will select the powerful rodent-proofing mode; after a certain period, when the rodent infestation only occurs occasionally, the control core module 2 will switch to the standard rodent-proofing mode.

[0051] For example, the control core module 2 is configured to: switch to a strong rodent-proof mode when the organism activity data meets a first rule; wherein the first rule is that the daily activity frequency of rodents is greater than a first frequency threshold or the longest single activity duration of rodents is greater than a first duration threshold; switch to a silent rodent-proof mode when the organism activity data meets a second rule; wherein the second rule is that the daily human activity level is greater than the activity level threshold; switch to a low-power rodent-proof mode when the organism activity data meets a third rule; wherein the third rule is that the daily activity frequency of rodents is less than a second frequency threshold, and the second frequency threshold is lower than the first frequency threshold; switch to a standard rodent-proof mode when the organism activity data meets a fourth rule; wherein the fourth rule does not meet any of the first, second, and third rules.

[0052] In this embodiment, in order to avoid conflicts between different rodent-proof working modes, the control core module 2 has a built-in priority sorting of mode switching rules according to the principle of prioritizing rodent prevention, followed by user experience, and finally energy saving. That is, the first rule is greater than the second rule, which is greater than the third rule, which is greater than the fourth rule.

[0053] Specifically, the above process is as follows: the control core module 2 first determines whether the daily activity frequency of rodents is greater than a first frequency threshold or whether the longest single activity duration of rodents is greater than a first duration threshold. If either of these conditions is met, the control core module 2 directly selects the powerful rodent-proof mode. If not, the control core module 2 further determines whether the human activity level is greater than an activity level threshold. If the human activity level is greater than the activity level threshold, the control core module 2 selects the silent rodent-proof mode. If the human activity level is less than the activity level threshold, the control core module 2 further determines whether the daily activity frequency of rodents is less than a second frequency threshold. If yes, the control core module 2 selects the low-power rodent-proof mode. If no, the control core module 2 selects the standard rodent-proof mode.

[0054] Of course, this application is not limited to the four rodent-proof working modes mentioned above. Other rodent-proof working modes and selection conditions can be customized according to the actual situation. For example, a timed rodent-proof mode can be set according to a set time period. This is suitable for scenarios where humans and rodents have regular routines, such as daytime office work, nighttime uninhabited areas, and areas with a serious rodent infestation. The mode can switch between a relatively strong rodent-proof working mode and a relatively quiet rodent-proof working mode at regular intervals. This will not be elaborated on here.

[0055] This embodiment provides a rodent repeller based on scene adaptation and intelligent grading. It clarifies the quantitative rules for multi-mode switching, follows the priority order of rodent prevention, user experience, and energy saving, and realizes the automatic and precise switching of different rodent prevention modes. Among them, the low power mode saves energy, the powerful mode deals with severe rodent infestation, the silent mode is suitable for human active periods, and the standard mode is suitable for conventional protection, thereby reasonably improving the scene compatibility and user experience of the rodent repeller.

[0056] Further, see Figures 1 to 4 The execution control module 3 includes an odor diffusion unit 31, a knocking simulation unit 35, multiple bright light warning units 32, multiple ultrasonic output units 33, and multiple simulated sound effect units 34. The odor diffusion unit 31 is located inside the upper part of the rodent repeller, and the bottom of the rodent repeller has a hollowed-out medicine storage slot 311. The knocking simulation unit 35 is located inside the lower part of the rodent repeller, and the outer edge of the bottom of the rodent repeller has a support structure 312 that contacts the placement surface. The output end of the knocking simulation unit 35 can extend towards the placement surface under external force, and the knocking simulation unit 35 has a built-in sound pickup and amplification component.

[0057] Specifically, such as Figure 3 and Figure 4 As shown, the odor diffusion unit 31 in this embodiment is an exhaust fan. The hollow medicine slot 311 can be opened from the bottom and put in rodent and insect repellent pills or essential oils. The control core module 2 uses PWM speed regulation to control the air volume of the exhaust fan, or controls the indirect power supply to the exhaust fan to make it start and stop periodically, so as to diffuse the odor of rodent repellent and other odors in the target area.

[0058] In one feasible embodiment, the striking simulation unit 35 includes an electromagnetic push rod, and the sound pickup and amplification assembly includes a microphone and an audio amplifier circuit. The microphone can pick up the sound signal of the electromagnetic push rod striking and output it to the audio amplifier circuit. After signal amplification by the audio signal amplification unit, a more impactful striking sound effect is output. Similarly, the extension action of the electromagnetic push rod relies on the electromagnetic force generated by the electromagnet being energized. The control core module 2 can control the extension stroke and speed of the push rod by controlling the power supply method and input power of the electromagnetic push rod, thereby achieving different striking effects. In addition, the bottom support structure 312 adopts a raised support foot design, creating a gap between the bottom of the rod repellent and the placement surface. This allows air to circulate at the bottom, provides space for the extension of the output end of the striking simulation unit 35, and also enhances the placement stability of the rod repellent.

[0059] Furthermore, the bottom side of the rodent repeller integrates an interface module 5, including a switch, power interface, communication interface, and expansion interface, thereby supporting external power supply, data interaction, and connection to external devices, such as expanding to include more sensors or connecting to debugging equipment. Of course, the rodent repeller also has a built-in battery, supporting battery power.

[0060] Furthermore, such as Figure 3 and Figure 4 As shown, multiple high-intensity light warning units 32 and multiple ultrasonic output units 33 are evenly spaced along the outer circumference of the rodent repeller; multiple simulated sound effect units 34 are arranged one-to-one on the radial inner side of the multiple high-intensity light warning units 32.

[0061] Specifically, the high-intensity warning unit 32 is composed of LEDs. The control core module 2 uses PWM modulation waveform and power supply control to change the flashing frequency, controlling each LED to flash in different sequences to achieve high-intensity flashing. The ultrasonic output unit 33 includes a programmable waveform generator, an amplifier circuit, and an ultrasonic speaker. The control core module 2 uses the programmable waveform generator to generate waveforms such as sine waves, square waves, and triangle waves, and then drives the ultrasonic speaker to output ultrasonic waves through the amplifier circuit. The simulated sound effect unit 34 includes a storage chip, a decoding chip, a sound effect processing chip, a power amplifier, and a speaker. The control core module 2 controls the playback of different tracks and can digitally control the volume and sound effects to achieve different sound effect playback effects.

[0062] This embodiment provides a scene-adaptive and intelligently graded rodent repellent. Through the layout of a circumferentially layered strong light warning unit, an ultrasonic output unit, and a simulated sound effect unit, it provides the optimal physical basis for generating a sound and light composite deterrent field with a sense of surround sound and directional deception. At the same time, the coverage and impact dimension of the rodent repelling effect are expanded based on the odor diffusion unit and the knocking simulation unit.

[0063] In this embodiment, the control core module 2 is further configured as follows: When the anti-rodent working mode is low-power anti-rodent mode, the control core module 2 controls the odor diffusion unit 31 to start and stop periodically. At this time, the other modules of the execution control module 3 are in a dormant state to minimize energy consumption. In one possible implementation, the control core module 2 can also turn off the microwave radar sensor 11 in the intelligent sensing module 1, allowing only the infrared pyroelectric sensor 12 to work.

[0064] When the anti-rodent working mode is the silent anti-rodent mode, the control core module 2 controls the ultrasonic output unit 33 to continuously output low-frequency ultrasonic waves, which can reduce the volume to the maximum extent.

[0065] When the rodent-proof working mode is the standard rodent-proof mode, the control core module 2 controls the odor diffusion unit 31 to start and stop periodically. At the same time, the control core module 2 controls the ultrasonic output unit 33 to switch on and off periodically and outputs frequency-converted ultrasonic waves during the opening cycle of the ultrasonic output unit 33.

[0066] When the rodent-proof working mode is the strong rodent-proof mode, the control core module 2 controls the ultrasonic output unit 33 to continuously output high-frequency ultrasonic waves, thereby achieving efficient rodent prevention through high-intensity ultrasonic waves.

[0067] This embodiment provides a mouse repellent based on scene adaptation and intelligent hierarchical classification. It clarifies the specific execution actions of the control module under the four basic mouse-proof modes of the mouse repellent. The execution actions of each mouse-proof mode take into account the optimal balance between mouse-proof function, user experience and energy consumption.

[0068] In this embodiment, the intelligent sensing module 1 is further configured to acquire the distance between the target rodent and the rodent repeller and the dwell time of the target rodent when rodent activity is detected in real time. The control core module 2 is further configured to switch to the primary rodent repeller mode when the distance is greater than a distance threshold or the dwell time is less than a second duration threshold; otherwise, it switches to the advanced rodent repeller mode. The execution control module 3 is further configured to execute the corresponding differentiated rodent repeller strategy according to the switched rodent repeller working mode. The control core module 3 is further configured to switch to the current rodent prevention working mode when the duration during which the intelligent sensing module 1 has not detected rodent activity reaches a third duration threshold during the continuous period of the rodent repeller working mode.

[0069] Specifically, when the intelligent sensing module 1 detects rodent activity in the target area in real time, it can further obtain the real-time distance L between the target rodent and the rodent repeller, as well as the duration T of the target's continuous stay in the current area. The control core module 2 has preset "distance threshold L0" and "second duration threshold T0". Based on the real-time acquired L and T, the control core module 2 executes the following real-time hierarchical response logic: If L > L0 or T < T0, the current rodent threat is determined to be "probing" or "long-distance" activity, and the control core module 2 immediately switches the working state to the primary rodent control mode.

[0070] If L≤L0 and T≥T0, the current rodent threat is determined to be a persistent activity of "lingering at close range" and "staying for a long time". The control core module 2 immediately upgrades the working status to the advanced rodent control mode.

[0071] The execution control module 3 has a pre-stored set of differentiated rodent control strategies corresponding to the two real-time rodent control modes mentioned above. When it receives a mode switching command from the control core module 2, the execution control module 3 immediately calls and executes the corresponding strategy.

[0072] In addition, to ensure energy efficiency and prevent the equipment from continuing to operate ineffectively after the threat has been eliminated, the control core module 2 is also equipped with a "third duration threshold T1". During the continuous operation of any real-time rodent repelling mode, if the intelligent sensing module 1 does not detect rodent activity for a continuous period of T1, the control core module 2 controls the equipment to automatically exit the current real-time rodent repelling mode and restore the rodent prevention mode before switching to the rodent repelling mode.

[0073] This application provides a rodent repellent based on scene adaptation and intelligent grading. Building upon macro-level scene adaptation, it adds a real-time dynamic response mechanism for individual rodent intrusion events, improving rodent control efficiency. It rapidly grades primary and advanced rodent control modes based on the distance between the target rodent and the repellent, as well as its dwell time, enabling dynamic and precise adjustment of the rodent control strategy. Simultaneously, it automatically reverts to normal rodent-proof mode after the threat is eliminated, balancing rodent control effectiveness and energy consumption optimization.

[0074] Furthermore, the control core module 2 is also configured as follows: When the rodent repelling mode is in the primary rodent repelling mode, the control core module 2 controls the strong light warning unit 31 to continuously flash strong light, causing strong interference to the visual system of rodents; and / or, the control core module 2 controls multiple ultrasonic output units 33 to continuously output composite ultrasonic signals with different frequencies and / or waveforms that are correlated with each other in time or phase. These signals interfere in space to synthesize a composite ultrasonic field with a blurred sound source location that is difficult to get used to, causing continuous physiological discomfort to the auditory system of rodents; and / or, the control core module 2 controls the odor diffusion unit 32 to continuously start, releasing rodent repellent odorant to establish an olfactory warning barrier in the target area.

[0075] When the rodent control mode is in advanced rodent control mode, while maintaining the deterrent measures of the basic rodent control mode, the control core module 2 further controls the simulation sound effect unit 35 to retrieve at least one simulation audio file from the pre-stored simulation audio file library. The retrieved simulation audio file is then subjected to digital reverberation processing and multi-channel spatial audio rendering processing through the built-in audio processing algorithm to obtain multi-channel audio signals. The multi-channel audio signals are then correspondingly allocated and output to multiple simulation sound effect units 35 for synchronous playback, thereby creating an immersive acoustic illusion that the threatening creature is actually present and active in three-dimensional space, generating an instinctive psychological fear in rodents. And / or, the control core module 2 controls the output end of the simulated knocking unit 34 to extend downward to knock on the placement surface. The sound signal generated by the knocking is picked up and amplified by the sound pickup and amplification component. The resulting irregular, high-intensity physical vibrations are propagated through the medium to simulate the footsteps of a large creature approaching. This, in conjunction with the aforementioned spatial sound effects, creates a strong cross-modal perceived threat of an "approaching, real predator".

[0076] This application provides a scene-adaptive and intelligently graded rodent repellent that achieves gradient reinforcement of rodent repellency. The primary mode uses the synergistic interference of strong light, ultrasound, and odor. The ultrasound is processed with reverberation to form a directionally ambiguous ultrasonic interference field, thereby disrupting the sound source localization and causing physiological discomfort and disorientation in rodents. The advanced mode further introduces simulated sound effects rendered with spatial audio and physical knocking sound effects processed with signal amplification to enhance the shock effect. Together, they create a highly realistic biological approach scenario, effectively repelling rodents from both physiological and psychological perspectives, and significantly reducing rodent adaptability and the probability of re-entry.

[0077] Corresponding to the scene-adaptive and intelligently graded rodent repeller described in the above embodiments, Figure 5The present application provides an intelligent rodent control method that utilizes the aforementioned scene-adaptive and intelligently graded rodent control device. For ease of explanation, only the parts relevant to the present application are shown.

[0078] Reference Figure 5 The intelligent rodent control method includes: S1. Obtain biological activity data of a target area within a certain time period.

[0079] S2. Select a rodent control mode that matches the target area based on the biological activity data.

[0080] S3. Execute the corresponding differentiated rodent control strategy according to the selected rodent control working mode.

[0081] Optionally, see Figure 6 The specific steps S1 of this intelligent rodent control method include: S11. Obtain the motion characteristics of organisms in the target area.

[0082] S12. Obtain the infrared signal characteristics of organisms in the target area.

[0083] S13. Based on the preset organism differentiation threshold, motion characteristics and infrared signal characteristics, distinguish the organism's type as human, rodent or other types.

[0084] S14. Record the daily activity level of humans and the daily activity frequency and longest single activity duration of rodents to obtain biological activity data.

[0085] Optionally, see Figure 7 Step S2 of the intelligent rodent control method specifically includes: S21. Determine whether the daily activity frequency of rodents is greater than the first frequency threshold or whether the longest single activity duration of rodents is greater than the first duration threshold. If yes, proceed to step S22; otherwise, proceed to step S23.

[0086] S22, Switch to Strong Anti-Mouse Mode.

[0087] S23. Determine whether the human activity level is greater than the activity level threshold. If yes, proceed to step S24; otherwise, proceed to step S25.

[0088] S24. Switch to silent anti-mouse mode.

[0089] S25. Determine whether the daily activity frequency of rodents is less than the second frequency threshold. If yes, proceed to step S26; otherwise, proceed to step S27.

[0090] S26, Switch to low-power anti-mouse mode.

[0091] S27. Switch to standard anti-mouse mode.

[0092] Optionally, see Figure 8 Step S3 of this intelligent rodent control method specifically includes: S31. When the anti-rodent working mode is the low-power anti-rodent mode, control the odor diffusion unit 31 to start and stop periodically.

[0093] S32. When the rodent-proof working mode is the silent rodent-proof mode, the ultrasonic output unit 33 is controlled to continuously output low-frequency ultrasonic waves.

[0094] S33. When the rodent-proof working mode is the standard rodent-proof mode, control the odor diffusion unit 31 to start and stop periodically, control the ultrasonic output unit 33 to switch on and off periodically, and output frequency-converted ultrasonic waves during the opening cycle of the ultrasonic output unit 33.

[0095] S34. When the rodent-proof working mode is the strong rodent-proof mode, the ultrasonic output unit 33 is controlled to continuously output high-frequency ultrasonic waves to achieve efficient rodent prevention through high-intensity ultrasonic waves.

[0096] Furthermore, this application proposes yet another intelligent rodent-repelling method, see [link to relevant documentation]. Figure 9 The intelligent rodent control method includes: S4. When rodent activity is detected in real time, obtain the distance between the target rodent and the rodent repeller and the duration of the target rodent's stay.

[0097] S5. Determine whether the distance between the two sides is greater than the distance threshold or whether the dwell time is less than the second dwell time threshold. If yes, proceed to steps S6 and S8; otherwise, proceed to steps S7 and S8. S6. Switch to basic mouse control mode.

[0098] S7, switch to advanced mouse control mode.

[0099] S8. Execute the corresponding differentiated rodent control strategy according to the switched rodent control working mode.

[0100] S9. During the continuous period of the rodent control mode, when the duration of no rodent activity detected reaches the third duration threshold, switch to the current rodent prevention mode.

[0101] Optionally, see Figure 10 The specific steps S8 of this intelligent rodent control method include: S81. When the rodent-repelling working mode is the primary rodent-repelling mode, control the strong light warning unit 31 to continuously flash the strong light; and / or control multiple ultrasonic output units to continuously output composite ultrasonic signals with different frequencies and / or waveforms that are correlated with each other in time or phase; and / or control the odor diffusion unit to continuously start.

[0102] S82. When the mouse-repelling working mode is advanced mouse-repelling mode, under the operation of the basic mouse-repelling mode, the simulated sound effect unit is further controlled to retrieve at least one simulated audio file from the pre-stored simulated audio file library, and digital reverberation processing and multi-channel spatial audio rendering processing are performed on the retrieved simulated audio file to obtain multi-channel audio signals. Then, the multi-channel audio signals are correspondingly allocated and output to multiple simulated sound effect units for synchronous playback; and / or, the output end of the simulated striking unit is controlled to extend downward to strike the placement plane, and the sound signal generated by the striking is picked up and amplified by the sound pickup and amplification component.

[0103] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0104] It should be noted that the information interaction, execution process, and other aspects of the above methods are based on the same concept as the system embodiments of this application. For details on their specific functions and technical effects, please refer to the system embodiments section, which will not be repeated here.

[0105] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the above-described embodiments of the intelligent mouse-repelling methods.

[0106] This application provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the various intelligent mouse-repelling method embodiments.

[0107] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-described embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various intelligent mouse-repelling method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0108] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0109] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A rodent repeller based on scene adaptation and intelligent hierarchical classification, characterized in that, include: The intelligent sensing module is used to acquire biological activity data of a target area within a certain time period; The control core module, connected to the intelligent sensing module, is used to select a rodent-proof working mode that matches the target area based on the biological activity data. An execution control module, connected to the control core module, is used to execute corresponding differentiated rodent-proof strategies according to the selected rodent-proof working mode.

2. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 1, characterized in that, The intelligent sensing module is provided in multiple groups, and the multiple groups of intelligent sensing modules are evenly spaced along the outer side of the rodent repeller. The intelligent sensing module includes a microwave radar sensor, an infrared pyroelectric sensor, and a fusion processing unit. The microwave radar sensor is used to acquire the motion characteristics of the organism in the target area; The infrared pyroelectric sensor is used to acquire the infrared signal characteristics of the organism in the target area; The fusion processing unit is used to distinguish the type of the organism as human, rodent or other types based on a preset organism discrimination threshold, the motion characteristics and the infrared signal characteristics; The fusion processing unit is also used to record the daily activity level of the human and the daily activity frequency and longest single activity duration of the rodents, to obtain the activity data of the organism.

3. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 2, characterized in that, The rodent-proof operating modes include low-power rodent-proof mode, silent rodent-proof mode, standard rodent-proof mode, and powerful rodent-proof mode. The control core module is configured as follows: When the biological activity data meets the first rule, the system switches to the powerful rodent-proof mode; wherein, the first rule is that the daily activity frequency of the rodent is greater than a first frequency threshold or the longest single activity duration of the rodent is greater than a first duration threshold. When the biological activity data meets the second rule, the system switches to the silent rodent-proof mode; wherein, the second rule is that the human daily activity level is greater than the activity threshold. When the biological activity data meets the third rule, the system switches to the low-power anti-rodent mode; wherein the third rule is that the daily activity frequency of the rodents is less than a second frequency threshold, and the second frequency threshold is lower than the first frequency threshold. When the organism activity data meets the fourth rule, the system switches to the standard rodent-proof mode; wherein the fourth rule does not meet any of the first, second, and third rules. The priority of the first rule is greater than the priority of the second rule, which is greater than the priority of the third rule, which is greater than the priority of the fourth rule.

4. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 1, characterized in that, The execution control module includes an odor diffusion unit, a knocking simulation unit, multiple high-intensity light warning units, multiple ultrasonic output units, and multiple simulated sound effect units; The odor diffusion unit is located inside the upper part of the rodent repeller, and the bottom of the rodent repeller is provided with a hollow medicine storage slot; The knocking simulation unit is located inside the lower part of the rodent repeller, and the bottom outer edge of the rodent repeller is provided with a support structure that contacts the placement plane; wherein, the output end of the knocking simulation unit can extend toward the placement plane under the action of external force, and the knocking simulation unit has a built-in sound pickup and amplification component; Multiple high-intensity warning units and multiple ultrasonic output units are evenly spaced along the outer circumferential surface of the rodent repeller. Multiple simulated sound effect units are arranged radially inside multiple high-intensity light warning units in a one-to-one correspondence.

5. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 4, characterized in that, The control core module is also configured as follows: When the anti-rodent working mode is the low-power anti-rodent mode, the odor diffusion unit is controlled to start and stop periodically. When the anti-rodent working mode is the silent anti-rodent mode, the ultrasonic output unit is controlled to continuously output low-frequency ultrasonic waves. When the rodent-proof working mode is the standard rodent-proof mode, the odor diffusion unit is controlled to start and stop periodically, the ultrasonic output unit is controlled to switch on and off periodically, and the frequency-converted ultrasonic waves are output during the on-cycle of the ultrasonic output unit. When the anti-rodent working mode is the strong anti-rodent mode, the ultrasonic output unit is controlled to continuously output high-frequency ultrasonic waves.

6. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 1, characterized in that, The intelligent sensing module is also used to obtain the distance between the target rodent and the rodent repeller and the dwell time of the target rodent when rodent activity is detected in real time; The control core module is also used to switch to the primary rodent-repelling mode when the distance between them is greater than a distance threshold or the dwell time is less than a second duration threshold; otherwise, it switches to the advanced rodent-repelling mode. The execution control module is also used to execute corresponding differentiated rodent control strategies according to the switched rodent control working mode; The control core module is also used to switch to the current rodent-proof working mode during the continuous period of the rodent-repelling working mode when the duration during which the intelligent sensing module does not detect rodent activity reaches the third duration threshold.

7. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 6, characterized in that, The control core module is also configured as follows: When the rodent-repelling working mode is the primary rodent-repelling mode, the strong light warning unit is controlled to continuously flash strong light. And / or, control multiple ultrasonic output units to continuously output composite ultrasonic signals with different frequencies and / or waveforms that are correlated with each other in time or phase; And / or, control the odor diffusion unit to remain continuously activated; as well as, When the mouse-repelling working mode is the advanced mouse-repelling mode, under the operation of the primary mouse-repelling mode, the simulated sound effect unit is further controlled to retrieve at least one simulated audio file from the pre-stored simulated audio file library, and digital reverberation processing and multi-channel spatial audio rendering processing are performed on the retrieved simulated audio file to obtain multi-channel audio signals. Then, the multi-channel audio signals are correspondingly allocated and output to multiple simulated sound effect units for synchronous playback. And / or, control the output end of the simulated striking unit to extend downward to strike the placement plane, and pick up and amplify the sound signal generated by the striking through the sound pickup and amplification component.

8. The rodent repeller based on scene adaptation and intelligent hierarchical classification according to claim 1, characterized in that, The rodent repeller also includes an IoT interaction module connected to the control core module. The IoT interaction module is configured to enable bidirectional data interaction between the rodent repeller and the remote management platform, so that the remote management platform can monitor and control the rodent repeller based on its operating data.

9. An intelligent rodent-repelling method, characterized in that, The intelligent rodent control method is implemented using a scene-adaptive and intelligently graded rodent repellent as described in any one of claims 1-8, comprising: To obtain biological activity data for a target area within a given time period; Select a rodent control mode that matches the target area based on the biological activity data; The corresponding differentiated rodent control strategy is executed according to the selected rodent control working mode.

10. The intelligent rodent-repelling method according to claim 9, characterized in that, The intelligent rodent-repelling method also includes: When rodent activity is detected in real time, the distance between the target rodent and the rodent repeller and the duration of the target rodent's stay are obtained; When the distance between them is greater than a distance threshold or the dwell time is less than a second duration threshold, switch to the primary rodent control mode; otherwise, switch to the advanced rodent control mode. Execute the corresponding differentiated rodent control strategy according to the switched rodent control working mode; During the duration of the rodent control mode, when the duration of no rodent activity detected reaches the third duration threshold, the system switches to the current rodent prevention mode.

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