Pulse electronic fence system with variable voltage in touch state for zoo

Abstract

The invention discloses a touch state variable voltage pulse electronic fence system for a zoo, belongs to the technical field of electronic fences, and ensures that other paths can still work normally when a certain path of power grid wire is broken or short-circuited through a plurality of independent pulse generation sources, so that the reliability of the system is improved; according to the touch state and the working state of the power grid wire, the voltage is dynamically adjusted, it is ensured that the optimal protection effect can be achieved under different conditions, through cooperative work of the control module and the state detection module, intelligent voltage adjustment and system management are achieved, and the intelligent level of the system is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electronic fences, and particularly relates to a pulse electronic fence system with variable voltage according to touch state for zoos. BACKGROUND

[0002] As a relatively effective perimeter security alarm product, electronic fences have been widely used in perimeter security and animal control. The existing electronic fence technology is to protect the enclosed area by using a metal wire. The most common electronic fence has a high-voltage generator which can emit a pulsed high voltage to one or more fence wires. When an animal or intruder touches any electrified wire of the fence, a current loop is formed, and the current will pass through the body of the animal or intruder in contact with the ground. This pulsed current has two effects: it shocks the animal or intruder, driving them away or making them afraid; the terminal device receives the current signal and triggers an alarm to notify the on-duty security guard.

[0003] Traditional pulse electronic fence systems usually use a single pulse source to provide shock protection through multiple electric wires. However, when a wire is broken or short-circuited, the protection effect of the entire system will be significantly reduced. In addition, the traditional system cannot dynamically adjust the voltage according to the touch state, which may not achieve the best protection effect in certain situations. SUMMARY

[0004] In view of the above deficiencies of the prior art, the present application provides a pulse electronic fence system with variable voltage according to touch state for zoos.

[0005] In a first aspect, the present application provides a pulse electronic fence system with variable voltage according to touch state for zoos, comprising a plurality of pulse sources, a central control computer, a state detection module, a control module and a voltage adjustment module.

[0006] Each pulse source includes an independent power supply, a high-voltage generation circuit and an upper computer interface, and the upper computer interfaces are connected in series or parallel.

[0007] The central control computer is connected to all pulse sources through a communication bus, for receiving state information of each pulse source and sending control instructions.

[0008] The state detection module is integrated in each pulse source for real-time detection of wire breakage, short circuit, touch state and environmental parameters of the corresponding electric wire.

[0009] The control module runs on the central control computer and generates voltage adjustment instructions based on preset strategies according to feedback signals from the state detection module.

[0010] The voltage adjustment module is configured to dynamically adjust the output voltage and pulse frequency of the corresponding pulse generating source according to the voltage adjustment instruction.

[0011] In some embodiments, the preset strategy includes a lookup table method and a fuzzy control algorithm, and different voltage adjustment instructions are triggered for wire breakage, short circuit, touch, environmental humidity, and time scenarios.

[0012] In some embodiments, the voltage adjustment instruction includes:

[0013] When wire breakage is detected in a certain power grid, the voltage of other lines is increased by 2kV and the pulse frequency is increased by 0.5Hz through the lookup table method;

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

[0015] When the touch time is greater than or equal to 10 seconds, the voltage is reduced to 0kV, and after the touch is over, the initial voltage is restored within 30 seconds through an exponential decay function;

[0016] When the humidity of the environmental parameter is greater than 80% and lasts for 3 minutes, the voltage is increased by 10% through the lookup table method;

[0017] When the illumination intensity of the environmental parameter is less than 10 lux, the night mode is triggered and the voltage is increased by 1kV.

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

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

[0020] In some embodiments, the input variables of the fuzzy control algorithm include touch duration, environmental humidity, and touch frequency, wherein the membership function of the touch duration adopts Gaussian function and trapezoidal function to define short touch and long touch, respectively; the membership function of the environmental humidity adopts Z-shaped, triangular, and S-shaped functions to define low humidity, medium humidity, and high humidity, respectively.

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

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

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

[0024] The second aspect of the present application provides a pulse electronic fence protection method applied to the above system, comprising the following steps:

[0025] Step S1: output electric pulses to the power grid wires through a plurality of independent pulse sources, each pulse source comprising a high-voltage generating circuit, the output voltage range of the high-voltage generating circuit being 5-10kV, and the pulse frequency range being 0.5-2Hz;

[0026] Step S2: real-time detect the state data of each power grid wire through a state detection module, the state data including broken line, short circuit, touch state and environmental parameters, the environmental parameters including humidity and light intensity;

[0027] Step S3: transmit the detected state data to the central control computer through RS485 or CAN bus;

[0028] Step S4: generate voltage adjustment instructions through the control module of the central control computer based on a preset strategy, the preset strategy including a look-up table method and a fuzzy control algorithm;

[0029] Step S5: dynamically adjust the output voltage and pulse frequency of the corresponding pulse source according to the voltage adjustment instructions;

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

[0031] The third aspect of the present application provides an electronic device, comprising 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 realize the steps of the above method.

[0032] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to realize the steps of the above method.

[0033] The present application has the following advantages:

[0034] Through multiple independent pulse sources, when a certain power grid wire is broken or short-circuited, other power grids can still work normally, the reliability of the system is improved, according to the touch state and the working state of the power grid wire, the voltage is dynamically adjusted to ensure that the best protection effect can be achieved under different conditions, through the cooperative work of the control module and the state detection module, intelligent voltage adjustment and system management are realized, and the intelligent level of the system is improved. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 It is a system principle block diagram of the application.

[0036] Figure 2 It is a connection diagram of the pulse source and the central control computer of the application.

[0037] Figure 3 It is a general flow chart of the application. DETAILED DESCRIPTION

[0038] Exemplary embodiments of the present application will be described herein below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it is understood that the present application can be embodied in various forms and should not be limited by the embodiments set forth herein; rather, these embodiments are provided so that the present application can be more thoroughly understood, and the scope of the present application can be accurately conveyed to those skilled in the art.

[0039] The first aspect of the present application proposes a touch state variable voltage pulse electronic fence system for zoos, as shown in the figure, comprising a plurality of pulse sources, a central control computer, a state detection module, a control module and a voltage regulation module. Figures 1-2 As shown, each pulse source comprises an independent power supply, a high-voltage generating circuit and an upper computer interface, and the upper computer interfaces are connected in series or in parallel.

[0040] The central control computer is connected with all pulse sources through a communication bus, for receiving state information of each pulse source and sending control instructions;

[0041] The state detection module is integrated in each pulse source for real-time detection of broken wire, short circuit, touch state and environmental parameters of the corresponding power grid wire;

[0042] The control module runs on the central control computer and generates voltage regulation instructions based on preset strategies according to feedback signals of the state detection module;

[0043] The voltage regulation module is used for dynamically adjusting the output voltage and pulse frequency of the corresponding pulse source according to the voltage regulation instructions.

[0044] The voltage regulation module is used for dynamically adjusting the output voltage and pulse frequency of the corresponding pulse source according to the voltage regulation instructions.

[0045] Among them, the pulse generating source: adopt 4 independent devices of PulseGen-X3 type, each with a 24V lithium battery (independent power supply), and a resonant high-voltage generating circuit based on IGBT (output range 5-10kV). Through the RS485 bus, it is connected to the host computer interface in series;

[0046] Central control computer: Deploy industrial control computer (Advantech UNO-2484G), run CentOS system, poll the status of each pulse generating source through Modbus protocol;

[0047] State detection module: Integrated Hall sensor (ACS712) detects broken wire current, uses distributed capacitance detection method to judge short circuit, and captures touch vibration signal through piezoelectric film sensor (LDT0-028K);

[0048] Control module: Execute the strategy engine written in Python, when detecting that the No. 3 power grid wire is broken, send "VOLTAGE +2000V" instruction to adjacent No. 2 / 4 pulse generating source;

[0049] Voltage regulation module: Use digital potentiometer (AD5293) to adjust the feedback resistance value of high-voltage generating circuit to realize ±0.5kV precision regulation.

[0050] System structure and basic working process;

[0051] The system is composed of 4 pulse generating sources (P1-P4), central control computer and power grid wire network. Each pulse generating source is connected to the central control computer through RS485 bus, and the high-voltage generating circuit adopts resonant topology structure with output of 5-10kV adjustable pulse.

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

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

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

[0055] In some embodiments, the preset strategy includes lookup table method and fuzzy control algorithm, which respectively triggers differentiated voltage regulation instructions for broken wire, short circuit, touch, environmental humidity and time scene.

[0056] In some embodiments, the voltage regulation instructions include:

[0057] When a wire break is detected, the voltage of other lines is increased by 2kV and the pulse frequency is increased by 0.5Hz through a lookup table method;

[0058] When a wire short circuit is detected, the current wire voltage is reduced to 0kV and the voltage of other lines is increased to 9kV through a fuzzy control algorithm;

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

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

[0061] When the light intensity of the environmental parameter is detected to be <10 lux, the night mode is triggered and the voltage is increased by 1kV.

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

[0063] Scenario 1: Wire break, adjustment strategy: detect a wire break, automatically increase the voltage of other lines (e.g. from 7kV to 9kV), control algorithm: lookup table method;

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

[0065] Scenario 2: Short circuit, adjustment strategy: detect short circuit, reduce the voltage of the fault line to a safety 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 the voltage according to the touch time: short touch (<10 seconds) to increase the voltage, long touch (≥10 seconds) to reduce the voltage, 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 touch (trapezoidal function, membership 0.8);

[0071] Humidity membership: medium humidity (triangular function, membership 0.6);

[0072] Output adjustment: voltage reduction of 15% (7kV→5.95kV), frequency reduction to 0.8Hz.

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

[0074] For example: humidity response: when humidity is 85% for 180 seconds during the rainy season, the system automatically increases the output voltage from 8kV to 8.8kV (formula: V new = V base ×1.1)

[0075] Scenario 5: night mode, adjustment strategy: according to time and animal activity patterns, reduce voltage during the day when animals are active, and increase voltage at night when animals are active, control algorithm: fuzzy control algorithm.

[0076] For example: night mode trigger: when the light sensor (TSL2561) detects that the illuminance decreases to 8lux, all line voltages are increased by 1kV (e.g. from 7kV→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] A 30-second delay timer is started after the touch ends, and the voltage is gradually reduced to the initial value through an exponential decay function, and if touch is detected again during recovery, the recovery process is immediately interrupted and the voltage adjustment is retriggered.

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

[0080] At this time, the voltage is immediately cut off to 0kV, and the STM32 built-in timer is started to begin a 30-second countdown.

[0081] The voltage recovery curve uses an exponential decay formula:

[0082]

[0083] where, V represents the output voltage at time t, V represents the initial set voltage value, t represents the duration of the recovery process, and τ represents the time constant, which is 10 seconds in this embodiment.

[0084] If a touch is detected again during the 15-second countdown, the recovery process is immediately terminated and the 0kV maintenance instruction is re-executed.

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

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

[0087] Gaussian membership function:

[0088] Long touch (>5 seconds):

[0089] Trapezoidal membership function:

[0090] Indicates the actual touch duration. 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] Indicates the measured value of ambient humidity. Represents the membership function of humidity.

[0098] In some embodiments, the voltage regulation module further includes a linkage adjustment rule, and the linkage adjustment rule 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 raised from 8kV to 9.6kV (20% increase): Pulse frequency is adjusted by NE555 timer, RC circuit parameters from R=100kΩ→50kΩ, frequency from 1Hz to 2Hz (period 500ms→250ms);

[0102] When the voltage is reduced by 10%: the frequency is reduced 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, 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 reinforcement learning model, and dynamically update the parameter mapping relationship of the lookup table method and fuzzy control algorithm.

[0104] Among them, the historical safety records are analyzed through the machine learning model, and the adjustment strategy is dynamically optimized, which is implemented as follows:

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

[0106] Model training: use time series analysis or reinforcement learning model to predict the best adjustment strategy. For example:

[0107] Night voltage adjustment: according to historical data, dynamically adjust the trigger time (such as starting the night mode 30 minutes after sunset).

[0108] Rainy day voltage increase: according to the correlation between humidity and short circuit frequency, quantify the voltage increase (such as when humidity> 80%, voltage increases by 10%).

[0109] Strategy update: feedback the model prediction results to the rule base to update the adjustment strategy in real time.

[0110] For example:

[0111] 1. Data collection: record the following in the 30 days of the rainy season:

[0112] Touch events 832 times (average 27.7 times / day);

[0113] Short circuit events 12 times (91% when humidity> 80%);

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

[0115] 2. Model training: use Python+TensorFlow to build a DQN model:

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

[0117] Action space: {±0.5kV, ±0.2Hz}

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

[0119] 3. Strategy update: After training, the voltage boost ratio corresponding to "humidity > 80%" in the optimized lookup table method is adjusted from 10% to 12%.

[0120] The second aspect of the application proposes a pulse electronic fence protection method applied to the above system, as shown in the figure, comprising the following steps: Figure 3

[0121] Step S1: output electric pulses to the power grid wire through multiple independent pulse sources, each pulse source includes a high-voltage generating circuit, the output voltage range of the high-voltage generating circuit is 5-10kV, and the pulse frequency range is 0.5-2Hz;

[0122] Step S2: real-time detect the state data of each power grid wire through the state detection module, the state data includes broken line, short circuit, touch state and environmental parameters, the environmental parameters include humidity and light intensity;

[0123] Step S3: transmit the detected state data to the central control computer through RS485 or CAN bus;

[0124] Step S4: generate voltage adjustment instructions through the control module of the central control computer based on the preset strategy, the preset strategy includes lookup table method and fuzzy control algorithm;

[0125] Step S5: dynamically adjust the output voltage and pulse frequency of the corresponding pulse source according to the voltage adjustment instruction;

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

[0127] The third aspect of the application proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, when the processor executes the computer program, the steps of the above method are realized.

[0128] The fourth aspect of the application proposes a computer readable storage medium, the computer readable storage medium stores a computer program, when the processor executes the computer program, the steps of the above method are realized.

[0129] ​Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units and modules is taken as an example, and in actual application, the above functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or software. In addition, the specific names of each functional unit and module are only for easy distinction, and do not limit the protection scope of the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0130] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described or recorded in detail in a certain embodiment can be referred to the related description of other embodiments.

[0131] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present disclosure.

[0132] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices / computer equipment and methods can be implemented in other ways. For example, the device / computer equipment embodiments described above are only schematic, for example, the division of the modules or units is only a logical function division, and actual implementation can have another division manner, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed mutual units can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0133] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment.

[0134] In addition, each function unit in each embodiment of the present disclosure can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0135] If the integrated module / unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of each method embodiment described above can be implemented. The computer program can include computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

[0136] The above is only the preferred embodiment of the present application, and it should be noted that the technical solutions of several 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 the present application.

Claims

1. A pulse electronic fence system with variable voltage under touch conditions for use in zoos, characterized by: It includes multiple pulse generating sources, central control computer, status detection module, control module and voltage regulation module; Each of the pulse generating sources includes an independent power supply, a high voltage generating circuit and a host computer interface, and the host computer interface is connected in series or in parallel; The central control computer is connected to all pulse generating sources via a communication bus, and is used to receive status information of each pulse generating source and send control instructions; The state detection module is integrated into each pulse generator and is used to detect the disconnection, short circuit, touch status and environmental parameters of the corresponding power grid wire in real time; The control module runs on the central control computer and generates a voltage regulation instruction based on a preset strategy according to the feedback signal of the status detection module; The voltage regulation module is used to dynamically adjust the output voltage and pulse frequency of the corresponding pulse generation source according to the voltage regulation instruction.

2. The system according to claim 1, wherein: The preset strategy includes a table lookup method and a fuzzy control algorithm, which trigger differentiated voltage regulation instructions for disconnection, short circuit, touch, ambient humidity and time scenarios respectively.

3. The system according to claim 2, characterized in that: The voltage regulation instruction includes: When a wire break is detected somewhere in the grid, the voltage of other lines is increased by 2kV and the pulse frequency is increased by 0.5Hz through the table lookup method; When a short circuit is detected at a certain grid line, the fuzzy control algorithm is used to reduce the current grid line voltage to 0kV and increase the voltage of other lines to 9kV; When the touch time is detected to be ≥10 seconds, the voltage is reduced to 0 kV, and the initial voltage is restored within 30 seconds through an exponential decay function after the touch ends; When the humidity of the environmental parameter is detected to be >80% and lasts for 3 minutes, the voltage is increased by 10% through the table lookup method; When the light intensity of the environmental parameter is detected to be less than 10lux, the night mode is triggered and the voltage is increased by 1kV.

4. The system according to claim 3, wherein: The preset strategy also includes a recovery mechanism, which is: 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 a touch is detected again during the recovery period, the recovery process is immediately interrupted and the voltage adjustment is retriggered.

5. The system according to claim 4, characterized in that: The input variables of the fuzzy control algorithm include touch duration, ambient humidity, and touch frequency. The membership function of the touch duration uses Gaussian function and trapezoidal function to define short touch and long touch, respectively; the membership function of the ambient humidity uses Z-type, triangular, and S-type functions to define low humidity, medium humidity, and high humidity, respectively.

6. The system according to claim 5, characterized in that: The voltage regulation module further includes a linkage adjustment rule, which is: 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.

7. The system according to claim 6, characterized in that: 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 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.

8. A pulse electronic fence protection method applied to the system according to any one of claims 1 to 7, characterized in that: The following steps are involved: Step S1: Outputting electric pulses to the grid wires through multiple independent pulse generating sources, each pulse generating source including a high voltage generating circuit, wherein the output voltage of the high voltage generating circuit is in the range of 5-10 kV and the pulse frequency is in the range of 0.5-2 Hz; Step S2: Detecting the status data of each grid wire in real time through a status detection module, wherein the status data includes disconnection, short circuit, touch status, and environmental parameters, wherein the environmental parameters include 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 instruction is generated by the control module of the central control computer, wherein the preset strategy includes a table lookup method and a fuzzy control algorithm; Step S5: dynamically adjusting the output voltage and pulse frequency of the corresponding pulse generator according to the voltage regulation instruction; Step S6: Analyze historical data through a machine learning module to optimize the parameter mapping relationship of the preset strategy.

9. 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, the steps of the method according to claim 8 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to claim 8 are implemented.

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