A touch condition variable voltage pulse electronic fence system for zoos

Abstract

The application discloses a touch state variable voltage pulse electronic fence system for zoos, and belongs to the technical field of electronic fences.The pulse electronic fence system is provided with multiple independent pulse generating sources, so that when a certain circuit is out of order due to wire breakage or short circuit, other circuits can still work normally, and the reliability of the system is improved.The voltage is dynamically adjusted according to the touch state and the working state of the circuit, so that the best protection effect can be achieved under different conditions.The intelligent voltage adjustment and system management are realized through the cooperative work of the control module and the state detection module, and the intelligent level of the system is improved.

Description

Technical Field

[0001] This invention belongs to the field of electronic fence technology, specifically relating to a pulsed electronic fence system with variable voltage for touch status in zoos. Background Technology

[0002] Electronic fences, as a relatively effective perimeter security alarm product, have been widely used for perimeter security and animal control. Current electronic fence technology uses metal wires to enclose an enclosed area. The most common electronic fences incorporate a high-voltage generator that emits pulsed high voltage signals, transmitted to one or more wires within the fence. When an animal or intruder comes into contact with any of the electrified wires, a current loop is formed, and the current flows through the animal's or intruder's body into the ground. This pulsed current has two effects: it shocks the animal or intruder, driving them away or frightening them; and the terminal equipment receives the current signal, triggering an alarm and notifying the security guard on duty.

[0003] Traditional pulsed electronic fence systems typically use a single pulse generator to provide electric shock protection through multiple electrical wires. However, when one wire breaks or short-circuits, the overall protective effect of the system significantly decreases. Furthermore, traditional systems cannot dynamically adjust the voltage based on the touch status, which may result in suboptimal protection under certain circumstances. Summary of the Invention

[0004] To address the shortcomings of the prior art, this application provides a pulsed electronic fence system with variable voltage for touch states in zoos.

[0005] In the first aspect, this application proposes a pulsed electronic fence system with variable voltage for touch status in zoos, including multiple pulse generators, a central control computer, a status detection module, a control module, and a voltage regulation module;

[0006] Each pulse generator includes an independent power supply, a high-voltage generation circuit, and a host computer interface, which are connected in series or in parallel.

[0007] The central control computer is connected to all pulse generators via a communication bus, and is used to receive status information from each pulse generator and send control commands.

[0008] The status detection module is integrated into each pulse generator and is used to detect the open circuit, short circuit, contact status and environmental parameters of the corresponding power grid wire in real time.

[0009] The control module runs on the central control computer and generates voltage regulation commands based on a preset strategy according to the feedback signal from the status detection module.

[0010] The voltage regulation module is used to dynamically adjust the output voltage and pulse frequency of the corresponding pulse generator according to the voltage regulation command.

[0011] In some embodiments, the preset strategy includes a lookup table method and a fuzzy control algorithm, which trigger differentiated voltage regulation commands for scenarios such as disconnection, short circuit, touch, ambient humidity, and time.

[0012] In some embodiments, the voltage regulation command includes:

[0013] When a broken wire is detected in a power grid, the voltage of other lines is increased by 2kV and the pulse frequency is increased by 0.5Hz by looking up a table.

[0014] When a short circuit is detected in a power grid wire, the current power grid wire voltage is reduced to 0kV and the voltage of other lines is increased to 9kV using a fuzzy control algorithm.

[0015] When a touch time of ≥10 seconds is detected, the voltage is reduced to 0kV, and the initial voltage is restored within 30 seconds after the touch ends through an exponential decay function.

[0016] When the humidity of the environmental parameter is detected to be >80% for 3 minutes, the voltage is increased by 10% using a lookup table method.

[0017] When the ambient light intensity is detected to be less than 10 lux, night mode is triggered and the voltage is increased by 1 kV.

[0018] In some embodiments, the preset strategy further includes a recovery mechanism, which is:

[0019] After the touch ends, a 30-second delay timer is started, and the voltage is gradually reduced to the initial value through an exponential decay function. If the touch is detected again during the recovery period, the recovery process is immediately interrupted and the voltage adjustment is retried.

[0020] In some embodiments, the input variables of the fuzzy control algorithm include touch duration, ambient humidity, and touch frequency. The membership function of the touch duration uses a Gaussian function and a trapezoidal function to define short-term touch and long-term touch, respectively. The membership function of the ambient humidity uses a Z-shaped, triangular, and S-shaped function to define low humidity, medium humidity, and high humidity, respectively.

[0021] In some embodiments, the voltage regulation module further includes a linkage adjustment rule, which is:

[0022] When the voltage increases by 20%, the pulse frequency increases from 1Hz to 2Hz; when the voltage decreases by 10%, the pulse frequency decreases from 1Hz to 0.5Hz.

[0023] In some embodiments, a machine learning module is also included, which is used to collect historical event data, including the number of touches, short circuit frequency and weather conditions, optimize the voltage adjustment strategy through a reinforcement learning model, and dynamically update the parameter mapping relationship between the lookup table method and the fuzzy control algorithm.

[0024] Secondly, this application proposes a pulsed electronic fence protection method for the above-mentioned system, comprising the following steps:

[0025] Step S1: Output electrical pulses to the grid wire through multiple independent pulse generators. Each pulse generator includes a high voltage generation circuit. The output voltage range of the high voltage generation circuit is 5-10kV, and the pulse frequency range is 0.5-2Hz.

[0026] Step S2: The status data of each wire is detected in real time through the status detection module. The status data includes open circuit, short circuit, touch status and environmental parameters, including humidity and light intensity.

[0027] Step S3: Transmit the detected status data to the central control computer via RS485 or CAN bus;

[0028] Step S4: Based on a preset strategy, a voltage regulation command is generated through the control module of the central control computer. The preset strategy includes a lookup table method and a fuzzy control algorithm.

[0029] Step S5: Dynamically adjust the output voltage and pulse frequency of the corresponding pulse generator according to the voltage adjustment command;

[0030] Step S6: Analyze historical data through the machine learning module to optimize the parameter mapping relationship of the preset strategy.

[0031] Thirdly, this application proposes an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0032] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described above.

[0033] The beneficial effects of this invention are:

[0034] By using multiple independent pulse generators, the system ensures that other circuits can still operate normally when one circuit wire is disconnected or short-circuited, thus improving system reliability. The voltage is dynamically adjusted according to the contact status and the working status of the circuit wire to ensure optimal protection under different conditions. Through the coordinated work of the control module and the status detection module, intelligent voltage adjustment and system management are achieved, thereby improving the system's intelligence level. Attached Figure Description

[0035] Figure 1 This is a system principle block diagram of the present invention.

[0036] Figure 2 This is a schematic diagram showing the connection between the pulse source and the central control computer of the present invention.

[0037] Figure 3 This is the overall flowchart of the present invention. Detailed Implementation

[0038] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein; rather, these embodiments are provided so that a more thorough understanding of the invention can be achieved and that the full scope of the invention can be conveyed to those skilled in the art.

[0039] In its first aspect, this application proposes a pulsed electronic fence system with variable voltage based on touch status for use in zoos, such as... Figures 1-2 As shown, it includes multiple pulse generators, a central control computer, a status detection module, a control module, and a voltage regulation module;

[0040] Each pulse generator includes an independent power supply, a high-voltage generation circuit, and a host computer interface, which are connected in series or in parallel.

[0041] The central control computer is connected to all pulse generators via a communication bus, and is used to receive status information from each pulse generator and send control commands.

[0042] The status detection module is integrated into each pulse generator and is used to detect the open circuit, short circuit, contact status and environmental parameters of the corresponding power grid wire in real time.

[0043] The control module runs on the central control computer and generates voltage regulation commands based on a preset strategy according to the feedback signal from the status detection module.

[0044] The voltage regulation module is used to dynamically adjust the output voltage and pulse frequency of the corresponding pulse generator according to the voltage regulation command.

[0045] The pulse generator consists of four independent PulseGen-X3 units, each with a built-in 24V lithium battery pack (independent power supply), paired with an IGBT-based resonant high-voltage generation circuit (output range 5-10kV). It is connected in series to a host computer interface via an RS485 bus.

[0046] Central Control Computer: Deploys an industrial control computer (Advantech UNO-2484G), running the CentOS system, and polls the status of each pulse source via the Modbus protocol;

[0047] Status detection module: integrates a Hall sensor (ACS712) to detect open circuit current, uses distributed capacitance detection method to determine short circuit, and captures touch vibration signals through a piezoelectric thin film sensor (LDT0-028K);

[0048] Control module: Executes a strategy engine written in Python. When a broken wire is detected in wire 3, it sends the "VOLTAGE +2000V" command to the adjacent pulse generators 2 and 4.

[0049] Voltage regulation module: A digital potentiometer (AD5293) is used to adjust the feedback resistance value of the high voltage generation circuit to achieve ±0.5kV accuracy regulation.

[0050] System structure and basic workflow;

[0051] The system consists of four pulse generators (numbered P1-P4), a central control computer, and a wire network. Each pulse generator is connected to the central control computer via an RS485 bus. The high-voltage generation circuit adopts a resonant topology and outputs an adjustable pulse of 5-10kV.

[0052] Normal state: P1-P4 output electrical pulses according to preset parameters (7kV, 1Hz).

[0053] Disconnection handling: When the status detection module detects that the impedance change rate of the grid wire corresponding to P1 is >30% / s (disconnection), the central control computer uses the lookup table method to increase the voltage of P2-P4 to 9kV and the frequency to 1.5Hz.

[0054] Short circuit handling: If a short circuit occurs in P2, the control module calculates the membership degree of humidity (85%) and touch frequency (8 times / minute) through a fuzzy control algorithm, and outputs a command to reduce the voltage of P2 to 0kV and increase the voltage of P1 / P3 / P4 to 9kV.

[0055] In some embodiments, the preset strategy includes a lookup table method and a fuzzy control algorithm, which trigger differentiated voltage regulation commands for scenarios such as disconnection, short circuit, touch, ambient humidity, and time.

[0056] In some embodiments, the voltage regulation command includes:

[0057] When a broken wire is detected in a power grid, the voltage of other lines is increased by 2kV and the pulse frequency is increased by 0.5Hz by looking up a table.

[0058] When a short circuit is detected in a power grid wire, the current power grid wire voltage is reduced to 0kV and the voltage of other lines is increased to 9kV using a fuzzy control algorithm.

[0059] When a touch time of ≥10 seconds is detected, the voltage is reduced to 0kV, and the initial voltage is restored within 30 seconds after the touch ends through an exponential decay function.

[0060] When the humidity of the environmental parameter is detected to be >80% for 3 minutes, the voltage is increased by 10% using a lookup table method.

[0061] When the ambient light intensity is detected to be less than 10 lux, night mode is triggered and the voltage is increased by 1 kV.

[0062] The preset strategy is based on the mapping relationship between specific scenarios and adjustment strategies, and uses a lookup table method or fuzzy control algorithm to achieve rapid response. The following is the mapping between specific scenarios and strategies:

[0063] Scenario 1: Disconnection; Adjustment strategy: If a disconnection is detected in a certain line, automatically increase the voltage of other lines (e.g., from 7kV to 9kV); Control algorithm: Lookup table method.

[0064] For example: wire breakage handling: when the tension sensor of the grid wire corresponding to P2 detects a break (tension < 5N for 5 seconds), the control module calls the table lookup command: the voltage of the adjacent line 1 / 3 is increased from 6kV to 8kV (an increase of 33%), and the pulse frequency is adjusted from 1Hz to 1.5Hz (using AD9833 signal generator);

[0065] Scenario 2: Short circuit. Adjustment strategy: If a short circuit is detected, reduce the voltage of the faulty line to a safe threshold (e.g., 0kV) and increase the voltage of other lines (e.g., to 9kV). Control algorithm: Fuzzy control algorithm.

[0066] Scenario 3: Animal touch, adjustment strategy: adjust voltage according to touch time: increase voltage for short touch (<10 seconds), decrease voltage for long touch (≥10 seconds), control algorithm: fuzzy control algorithm;

[0067] For example:

[0068] Input variables: touch duration t=12 seconds, humidity h=75%, touch frequency f=4 times / minute.

[0069] Fuzzy reasoning:

[0070] Touch duration membership: Long-term touch (trapezoidal function, membership degree 0.8);

[0071] Humidity membership: Medium humidity (trigonometric function, membership 0.6);

[0072] Output adjustment: Voltage reduced by 15% (7kV→5.95kV), frequency reduced to 0.8Hz.

[0073] Scenario 4: Rainy day, adjustment strategy: based on humidity sensor data, increase voltage (e.g., increase by 10%), control algorithm: lookup table method;

[0074] For example: Humidity response: During the rainy season, if the humidity remains at 85% for 180 seconds, the system will automatically increase the output voltage from 8kV to 8.8kV (formula: V). new = V base ×1.1)

[0075] Scenario 5: Night mode, adjustment strategy: based on time and animal activity patterns, lower the voltage when diurnal animals are active and raise the voltage when nocturnal animals are active, control algorithm: fuzzy control algorithm.

[0076] For example: Night mode trigger: When the light sensor (TSL2561) detects that the illuminance has dropped to 8 lux, the voltage of all lines is increased by 1kV (e.g., from 7kV to 8kV), and the infrared fill light is activated at the same time.

[0077] In some embodiments, the preset strategy further includes a recovery mechanism, which is:

[0078] After the touch ends, a 30-second delay timer is started, and the voltage is gradually reduced to the initial value through an exponential decay function. If the touch is detected again during the recovery period, the recovery process is immediately interrupted and the voltage adjustment is retried.

[0079] For example: when the piezoelectric sensor detects a touch that lasts for 12 seconds (sampling rate 100Hz, threshold > 0.3V):

[0080] Immediately cut off the voltage to 0kV and start the STM32's built-in timer to begin a 30-second countdown.

[0081] The voltage recovery curve uses the exponential decay formula as follows:

[0082]

[0083] in, This represents the output voltage at time t. The initial voltage value is represented by t, the duration of the recovery process is represented by τ, and the time constant is 10 seconds in this embodiment.

[0084] If a touch is detected again when the countdown reaches 15 seconds, the recovery process will be terminated immediately, and the 0kV maintenance command will be re-executed.

[0085] In some embodiments, the input variables of the fuzzy control algorithm include touch duration, ambient humidity, and touch frequency. The membership function of the touch duration uses a Gaussian function and a trapezoidal function to define short-term touch and long-term touch, respectively. The membership function of the ambient humidity uses a Z-shaped, triangular, and S-shaped function to define low humidity, medium humidity, and high humidity, respectively.

[0086] Among them, short-term touch (0-5 seconds):

[0087] Gaussian membership function:

[0088] Prolonged touch (>5 seconds):

[0089] Trapezoid membership function:

[0090] Indicates the actual duration of contact. Membership function representing the touch time (value range [0,1]);

[0091] Low humidity (<30%)

[0092]

[0093] Medium humidity (30-70%):

[0094]

[0095] High humidity (>70%):

[0096]

[0097] This indicates the measured value of ambient humidity. The membership function representing humidity.

[0098] In some embodiments, the voltage regulation module further includes a linkage adjustment rule, which is:

[0099] When the voltage increases by 20%, the pulse frequency increases from 1Hz to 2Hz; when the voltage decreases by 10%, the pulse frequency decreases from 1Hz to 0.5Hz.

[0100] For example:

[0101] When the voltage is increased from 8kV to 9.6kV (20% increase): the pulse frequency is adjusted by the NE555 timer, the RC circuit parameters are changed from R=100kΩ→50kΩ, and the frequency is increased from 1Hz to 2Hz (period 500ms→250ms).

[0102] When the voltage drops by 10%, the frequency drops to 0.5Hz (period 2000ms), and the PWM duty cycle is adjusted (from 50% to 25%).

[0103] In some embodiments, a machine learning module (not shown in the figure) is also included. The machine learning module is used to collect historical event data, including the number of touches, short circuit frequency and weather conditions, optimize the voltage adjustment strategy through a reinforcement learning model, and dynamically update the parameter mapping relationship between the lookup table method and the fuzzy control algorithm.

[0104] Specifically, the strategy is dynamically optimized and adjusted by analyzing historical security records using machine learning models, as detailed below:

[0105] Data collection: Record historical events (such as number of touches, short circuit frequency, weather conditions, etc.) and the effects of corresponding adjustment strategies.

[0106] Model training: Using time series analysis or reinforcement learning models, predict the optimal adjustment strategy. For example:

[0107] Nighttime voltage adjustment: Based on historical data, the trigger time is dynamically adjusted (e.g., nighttime mode is activated 30 minutes after sunset).

[0108] Voltage increase on cloudy / rainy days: Based on the correlation between humidity and short-circuit frequency, the voltage increase is quantified (e.g., when humidity > 80%, the voltage increases by 10%).

[0109] Strategy Update: Feed the model prediction results back to the rule base and update and adjust the strategy in real time.

[0110] For example:

[0111] 1. Data Collection: Record data for 30 days during the rainy season:

[0112] There were 832 touch events (an average of 27.7 times per day).

[0113] There were 12 short circuit events (91% of which occurred when humidity was >80%).

[0114] Temperature / humidity / light intensity time series data (sampling interval 1 minute);

[0115] 2. Model Training: Build a DQN model using Python + TensorFlow:

[0116] State space: {voltage, frequency, humidity, light intensity, number of touches}

[0117] Operating range: {±0.5kV, ±0.2Hz}

[0118] Reward function: R = 10 × (repelling effect) - 5 × (energy consumption);

[0119] 3. Strategy Update: In the post-training optimization lookup table method, the voltage boost ratio corresponding to "humidity > 80%" has been adjusted from 10% to 12%.

[0120] Secondly, this application proposes a pulsed electronic fence protection method for the above-mentioned system, such as... Figure 3 As shown, it includes the following steps:

[0121] Step S1: Output electrical pulses to the grid wire through multiple independent pulse generators. Each pulse generator includes a high voltage generation circuit. The output voltage range of the high voltage generation circuit is 5-10kV, and the pulse frequency range is 0.5-2Hz.

[0122] Step S2: The status data of each wire is detected in real time through the status detection module. The status data includes open circuit, short circuit, touch status and environmental parameters, including humidity and light intensity.

[0123] Step S3: Transmit the detected status data to the central control computer via RS485 or CAN bus;

[0124] Step S4: Based on a preset strategy, a voltage regulation command is generated through the control module of the central control computer. The preset strategy includes a lookup table method and a fuzzy control algorithm.

[0125] Step S5: Dynamically adjust the output voltage and pulse frequency of the corresponding pulse generator according to the voltage adjustment command;

[0126] Step S6: Analyze historical data through the machine learning module to optimize the parameter mapping relationship of the preset strategy.

[0127] Thirdly, this application proposes an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0128] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described above.

[0129] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0130] 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.

[0131] 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 disclosure.

[0132] In the embodiments provided in this disclosure, it should be understood that the disclosed apparatus / computer devices and methods can be implemented in other ways. For example, the apparatus / computer device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. Multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0133] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0134] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0135] If an integrated module / 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 methods of the above embodiments can also 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 method embodiments described above. The computer program may include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. A computer-readable medium may include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in a computer-readable medium may be appropriately added to or subtracted according to the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0136] The above are merely preferred embodiments of the present invention. It should be noted that any modifications and improvements made by those skilled in the art without departing from the present technical solution should also be considered to fall within the scope of protection claimed by the present solution.

Claims

1. A pulsed electronic fence system with variable voltage based on touch status for use in zoos, characterized in that: It includes multiple pulse generators, a central control computer, a status detection module, a control module, and a voltage regulation module; Each pulse generator includes an independent power supply, a high-voltage generation circuit, and a host computer interface, which are connected in series or in parallel. The central control computer is connected to all pulse generators via a communication bus, and is used to receive status information from each pulse generator and send control commands. The status detection module is integrated into each pulse generator and is used to detect the open circuit, short circuit, contact status and environmental parameters of the corresponding power grid wire in real time. The control module runs on the central control computer and generates voltage regulation commands based on a preset strategy according to the feedback signal from the status detection module. The voltage regulation module is used to dynamically adjust the output voltage and pulse frequency of the corresponding pulse generator according to the voltage regulation command; The preset strategy includes a lookup table method and a fuzzy control algorithm, which trigger differentiated voltage adjustment commands for scenarios such as disconnection, short circuit, touch, ambient humidity, and time. The voltage regulation command includes: When a broken wire is detected in a power grid, the voltage of other lines is increased by 2kV and the pulse frequency is increased by 0.5Hz by looking up a table. When a short circuit is detected in a power grid wire, the current power grid wire voltage is reduced to 0kV and the voltage of other lines is increased to 9kV using a fuzzy control algorithm. When a touch time of ≥10 seconds is detected, the voltage is reduced to 0kV, and the initial voltage is restored within 30 seconds after the touch ends through an exponential decay function. When the humidity of the environmental parameter is detected to be >80% for 3 consecutive minutes, the voltage is increased by 10% using a lookup table method. When the ambient light intensity is detected to be less than 10 lux, night mode is triggered and the voltage is increased by 1 kV. The preset strategy also includes a recovery mechanism, which starts a 30-second delay timer after the touch ends, and gradually reduces the voltage to the initial value through an exponential decay function. If the touch is detected again during the recovery period, the recovery process is immediately interrupted and the voltage adjustment is retried. The input variables of the fuzzy control algorithm include touch duration, ambient humidity, and touch frequency. The membership function of touch duration uses Gaussian function and trapezoidal function to define short-term touch and long-term touch, respectively. The membership function of ambient humidity uses Z-shaped, triangular and S-shaped functions to define low humidity, medium humidity and high humidity, respectively. The voltage regulation module also includes a linkage adjustment rule: when the voltage increases by 20%, the pulse frequency increases from 1Hz to 2Hz; when the voltage decreases by 10%, the pulse frequency decreases from 1Hz to 0.5Hz. It also includes a machine learning module, which is used to collect historical event data, including the number of touches, short circuit frequency and weather conditions, optimize voltage adjustment strategies through reinforcement learning models, and dynamically update the parameter mapping relationship between the lookup table method and the fuzzy control algorithm.

2. A pulsed electronic fence protection method applied to the system described in claim 1, characterized in that: Includes the following steps: Step S1: Output electrical pulses to the grid wire through multiple independent pulse generators. Each pulse generator includes a high voltage generation circuit. The output voltage range of the high voltage generation circuit is 5-10kV, and the pulse frequency range is 0.5-2Hz. Step S2: The status data of each wire is detected in real time through the status detection module. The status data includes open circuit, short circuit, touch status and environmental parameters, including humidity and light intensity. Step S3: Transmit the detected status data to the central control computer via RS485 or CAN bus; Step S4: Based on a preset strategy, a voltage regulation command is generated through the control module of the central control computer. The preset strategy includes a lookup table method and a fuzzy control algorithm. Step S5: Dynamically adjust the output voltage and pulse frequency of the corresponding pulse generator according to the voltage adjustment command; Step S6: Analyze historical data through the machine learning module to optimize the parameter mapping relationship of the preset strategy.

3. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in claim 2.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method as described in claim 2.

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