Black flight unmanned aerial vehicle intrusion detection system

Abstract

A black flight unmanned aerial vehicle intrusion detection system disclosed by the present invention comprises a hardware circuit and a software system, the hardware circuit comprises an ESP32-S3 core board, a camera module, a vibration sensing module, an alarm module, a key module, a charging module, a communication module, an indicating lamp module and a display screen module, and the software system comprises a feature capture module and an optimization module. The black flight unmanned aerial vehicle intrusion detection system is overall efficient and low in cost, has a real-time processing capability, ensures the accuracy and real-time performance of unmanned aerial vehicle detection, and meets the use requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of security protection against intrusion of unmanned aerial vehicles, and in particular to an intrusion detection system for unauthorized unmanned aerial vehicles. Background Art

[0002] "Black-flying" drones are drones that are flown without authorization or illegally. With the widespread application of drone technology, including commercial transportation, photography, agricultural monitoring, etc., unauthorized drone flights have become a new security threat. These drones may pose risks to aviation safety, infringe on personal privacy, and even be used for illegal activities such as smuggling and surveillance.

[0003] Traditional drone monitoring and defense systems usually focus on monitoring large areas, requiring complex radar systems or other heavy surveillance equipment, which are costly and may not be suitable for small areas or personal use. In addition, existing systems cannot process large amounts of data in real time or accurately detect and track small drones in complex environments.

[0004] Therefore, there is an urgent need for a drone intrusion detection system that is efficient, low-cost and has real-time processing capabilities. Summary of the invention

[0005] The purpose of the present invention is to solve the above problems and provide an efficient, low-cost illegal flying UAV intrusion detection system with real-time processing capability.

[0006] To achieve the above object, the technical scheme of the present invention is: a black flying drone intrusion detection system, including a hardware circuit and a software system, the hardware circuit includes an ESP32-S3 core board, a camera module, a vibration sensor module, an alarm module, a button module, a charging module, a communication module, an indicator light module and a display screen module, and the above modules are all connected to the ESP32-S3 core board; wherein the ESP32-S3 core board is used to process the data of the black flying drone intrusion and execute its detection model reasoning; the camera module is used to provide the hardware circuit with a black flying drone capture function; the vibration sensor module is used to provide the hardware circuit with a device safety status monitoring The hardware circuit has a detection function; the alarm module is used to provide the hardware circuit with an alarm function for the intrusion of illegal drones and the safety status of the device; the button module is used to provide the hardware circuit with a switch control function to facilitate the opening and termination of the program; the charging module is used to provide a charging function for the external power supply of the hardware circuit; the indicator light module is used to provide the hardware circuit with a display function for the detection of illegal drones; the communication module is used to provide the hardware circuit with a serial port communication function to realize two-way transmission of data; the display screen module is used to provide the hardware circuit with information on the intrusion detection of illegal drones and a function of displaying the number; the ESP32-S3 core board provides feedback on the received instructions.

[0007] Preferably, the software system includes a feature capture module and an optimization module. The feature capture module is used to extract feature information from the input image. The feature capture module includes a convolution operation block, a C2f module, a spatial pyramid pooling block, a local attention unit and a global attention unit, performs deep feature extraction and feature representation, and locates, classifies and scores the confidence of each predicted bounding box through the detector in YOLOv8; the optimization module optimizes and stores it in its memory through model format adjustment, TorchScript unit, data flow graph, virtual execution unit, task scheduling, static mapping and loading, and comprehensively optimizes the drone detection model.

[0008] Preferably, the camera module is composed of an image sensor of model OV2640, an XC6206P132MR chip and an XC6206P282MR chip. The VIN pins of the XC6206P132MR and XC6206P282MR chips in the camera module are connected to the 3V3 pin of the core board, and the VOUT pins of the XC6206P132MR and XC6206P282MR chips are respectively connected to the DVDD and DOVDD pins of OV2640. Two low-voltage difference linear regulators convert the input 3.3V into 1.3V and 2.8V output voltages respectively. The output is used to provide power for OV2640; the D0, D1, D2, D3, D4, D5, D6, D7, PCLK, XCLK, HREF, VSYNC, SIOC, and SIOD pins of OV2640 are respectively connected to the IO17, IO5, IO4, IO6, IO16, IO8, IO9, IO11, IO18, IO10, IO12, IO13, IO14, and IO21 pins of the ESP32-S3 core board; and the SCCB communication protocol is used to communicate with the control circuit to provide a capture function for illegal drones.

[0009] Preferably, the vibration sensor module is composed of a spring vibration switch of model SW-58010P, a LM393 chip and a 0603 LED, pin 3 of the LM393 is connected to pin 2 of the SW-58010P, pin 2 is connected to the 3V3 pin of the ESP32-S3 core board through an R14 potentiometer, and pin 1 is connected to the IO35 pin of the ESP32-S3 core board. By triggering the spring vibration switch, the non-inverting input terminal of the LM393 voltage comparator is compared with the inverting input terminal for voltage comparison, and displayed by a red LED indicator, which is used to provide the control circuit with a monitoring function of the device safety state.

[0010] Preferably, the alarm module is composed of a passive buzzer with model SFN-1270-0540-35P5.0 and an S8050 chip, the base pin of the S8050 is connected to the IO15 pin of the ESP32-S3 core board, and the collector pin is connected to the negative pole of the passive buzzer, which is used to provide the control circuit with an alarm function of illegal drone intrusion and device safety status.

[0011] Preferably, the button module is composed of a touch switch of model TC-1109-CB, and the four button No. 1 pins of the button module are respectively connected to the IO7, IO36, IO37 and EN pins of the ESP32-S3 core board, for providing the control circuit with the start and stop functions of the program.

[0012] Preferably, the charging module is composed of chips with model numbers TP4056, AP2112, IN5819 and SI2301, an LED of 0603 and an interface terminal of XH 2.54-2P. The VCC, CHRG, STDBY pins of TP4056 and the VIN pin of AP2112 are connected to the VBUS pin of the Micro USB in the communication module, the VOUT pin of AP2112 is connected to the 3V3 pin of the ESP32-S3 core board, and the VBAT pin of the XH 2.54-2P interface terminal is connected to the drain pin of SI2301 and the BAT pin of TP4056, so as to provide charging and power supply functions for the control circuit.

[0013] Preferably, the communication module is a module consisting of chips with models CP2102 and S8050 and a Micro-B USB connector; the VBUS pin of the Micro USB is connected to the VBUS pin of the CP2102, the D+ and D- pins of the Micro USB are connected to the D+ and D- pins of the CP2102, the TXD and RXD pins of the CP2102 are connected to the RXD0 and TXD0 pins of the ESP32-S3 core board, the DTR and RTS pins are cross-connected with the B pole pin of one S8050 and the E pole pin of another S8050, respectively, the C pole pin of the S8050 connected with the B pole pin and the DTR pin is connected to the EN pin of the ESP32-S3, the C pole pin of the S8050 connected with the B pole pin and the RTS pin is connected to the IO0 pin of the ESP32-S3, the onboard USB is converted to TTL, and asynchronous communication is performed through the UART serial communication protocol, which is used to provide a serial communication function for the control circuit to realize bidirectional transmission of data.

[0014] Preferably, the indicator light module is composed of a model 0603 LED, the positive pole of the LED is connected to the IO46 pin of the ESP32-S3 core board, and is used to provide the control circuit with a display and reminder function of the detection situation of the illegal flying drone.

[0015] Preferably, the display screen module is composed of chips with model numbers XPT2046 and XPT2046, and the CS1, CS2, SCK, MISO, MOSI, PEN, D / C, and RST pins of the display screen module are respectively connected to the IO39, IO3, IO40, IO41, IO42, IO47, IO48, and IO47 pins of the ESP32-S3 core board, and communicate through the SPI communication protocol to provide the control circuit with information on illegal drone intrusion detection and a quantity display function.

[0016] Compared with the existing technology, the illegal drone intrusion detection system has the following beneficial effects: it utilizes the high processing power and low power consumption characteristics of the ESP32-S3 core board, combines cameras, vibration sensors, alarms and other modules to perform comprehensive drone monitoring and response, and can perform complex data analysis and processing tasks in real time in resource-constrained embedded systems; it is overall efficient, low-cost and has real-time processing capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a functional module diagram of the present invention.

[0018] Figure 2 The figure is a schematic diagram of the circuit principle of the camera module of the present invention.

[0019] Figure 3 Schematic diagram of the circuit principle of the vibration sensor module of the present invention.

[0020] Figure 4 The figure is a schematic diagram of the circuit principle of the alarm module of the present invention.

[0021] Figure 5 The figure is a schematic diagram of the circuit principle of the key module of the present invention.

[0022] Figure 6 It is a schematic diagram of the circuit principle of the charging module of the present invention.

[0023] Figure 7 It is a schematic diagram of the circuit principle of the communication module of the present invention.

[0024] Figure 8 The figure is a schematic diagram of the circuit principle of the indicator light module of the present invention.

[0025] Fig. 9 The figure is a schematic diagram of the circuit principle of the display screen module of the present invention.

[0026] Fig.10 It is a principle schematic diagram of the feature capture module of the present invention.

[0027] Fig.11 It is a schematic diagram of the principle of the optimization module of the present invention. DETAILED DESCRIPTION

[0028] The present invention will now be described in further detail with reference to the accompanying drawings. The accompanying drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and thus only show the components related to the present invention.

[0029] like Figure 1 The functional module diagram of the present invention is shown as follows: the hardware circuit is a detection circuit for the invasion of illegal drones, including a camera module, a vibration sensor module, an alarm module, a button module, a charging module, a communication module, an indicator light module and a display screen module, all of which are connected to the ESP32-S3 core board: the ESP32-S3 core board is used to process the data of the invasion of illegal drones and execute its detection model reasoning; the camera module is used to provide the control circuit with a function of capturing illegal drones; the vibration sensor module is used to provide the control circuit with a device safety status monitoring function; the alarm module is used to provide the control circuit with illegal drone invasion and device safety status alarm functions; the button module is used to provide the control circuit with a switch control function, which is convenient for starting and terminating the program; the charging module is used to provide a charging function for the external power supply of the control circuit; the communication module is used to provide the control circuit with a serial port communication function to realize two-way transmission of data; the indicator light module is used to provide the control circuit with a function of displaying the detection situation of illegal drones; the display screen module is used to provide the control circuit with a function of displaying the information and quantity of illegal drone invasion detection. The software algorithm is an inference model for detecting illegal drones, including a feature capture module, a feature construction module, and an optimization module: The feature capture module is used to extract important features, suppress irrelevant information, and improve drone detection performance. The feature construction module is used to evaluate the importance of features through energy functions, generate weighted feature maps, improve detection accuracy, and exclude additional parameters to enhance feature modeling capabilities. The optimization module is used to convert the drone detection model into a lightweight format supported by ESP32 and generate a data flow graph (DFG). The virtual execution unit (vEU) optimizes task scheduling and static mapping to generate machine code, ensures efficient task execution and loading into ESP32 memory, maximizes hardware resource utilization, and improves the real-time and accuracy of detection.

[0030] like Figure 2The circuit principle diagram of the camera module of the present invention is shown as follows: the camera module is composed of an image sensor of model OV2640, a chip of XC6206P132MR and a chip of XC6206P282MR; the VIN pins of XC6206P132MR and XC6206P282MR are connected to the 3V3 pin of the core board, and the VOUT pins are respectively connected to the DVDD and DOVDD pins of OV2640, and the input 3.3V is output as 1.3V and 2.8V respectively through two low-dropout linear (LDO) regulators to provide power for the OV2640 module; the D0, D1, D2, D3, D4, D5, D6, and D7 pins of OV2640 are the output ports of pixel data, and they are respectively connected to the IO17 and IO2 of the ESP32-S3 core board. 5. IO4, IO6, IO16, IO8, IO9, and IO11 pins are connected; PCLK pin is used to output pixel clock signal, XCLK pin is the signal input to OV2640 externally, used to drive the clock signal of the entire sensor chip, they are connected to IO18 and IO10 pins of ESP32-S3 core board respectively; HREF pin is used to output line synchronization signal, VSYNC pin is used to output frame synchronization signal, SIOC pin is the clock line of SCCB bus, used for data transmission and reception synchronization, SIOD pin is the data line of SCCB bus, used for data transmission, they are connected to IO12, IO13, IO14, and IO21 pins of ESP32-S3 core board respectively, communicate through SCCB communication protocol, and are used to capture illegal drones. ESP32-S3 core board realizes its own safety status monitoring through camera module.

[0031] like Figure 3The schematic diagram of the circuit principle of the vibration sensor module of the present invention is shown as follows: the vibration sensor module is composed of a spring vibration switch of model SW-58010P, a chip of LM393 and a 0603 LED; the No. 3 (non-reverse input) pin of LM393 is connected to the No. 2 pin of SW-58010P, the No. 2 (reverse input) pin is connected to the 3V3 pin of the ESP32-S3 core board through the R14 potentiometer, and the No. 1 (output) pin is connected to the IO35 pin of the ESP32-S3 core board. When the device tilts, collides, or moves at an appropriate eccentric force under external force, the spring vibration switch of SW-58010P will be triggered, the voltage of LM393's No. 3 (non-reverse input) pin is higher than that of No. 2 (reverse input), the red LED indicator lights up, and No. 1 (output) pin outputs a high level. When the initial state is restored, the voltage of LM393's No. 3 (non-reverse input) pin is lower than that of No. 2 (reverse input), the red LED indicator goes out, and No. 1 (output) pin outputs a low level. The ESP32-S3 core board monitors its own safety status through the vibration sensor module.

[0032] like Figure 4 The circuit principle diagram of the alarm module of the present invention is shown as follows: the alarm module is composed of a passive buzzer of model SFN-1270-0540-35P5.0 and a chip of S8050; the base (B) pin of S8050 is connected to the IO15 pin of the ESP32-S3 core board, and the ESP32-S3 core board provides a fixed frequency or outputs an average voltage to the control circuit by sending a signal; the collector (C) pin is connected to the negative pole of the passive buzzer (Beep), and the signal of the ESP32-S3 core board is output in the form of frequency. The ESP32-S3 core board realizes the alarm of the invasion of illegal drones and the safety status of the device through the alarm module.

[0033] like Figure 5 The circuit principle diagram of the key module of the present invention is shown as follows: the key module is a module composed of a touch switch of model TC-1109-CB; the No. 1 pins of the four keys of the key module are respectively connected to the IO0, IO36, IO37 and EN pins of the ESP32-S3 core board, the RST reset button is connected to the EN pin, and the buttons connected to the IO0, IO36 and IO37 pins are custom buttons. The ESP32-S3 core board realizes the opening and closing of the illegal drone detection program through the key module.

[0034] like Figure 6The schematic diagram of the circuit principle of the charging module of the present invention is shown as follows: the charging module is composed of chips of model TP4056, AP2112, IN5819 and SI2301, 0603 LED and XH 2.54-2P interface terminal; the VCC, CHRG, STDBY pins of TP4056 and the VIN pin of AP2112 are connected to the VBUS pin of Micro USB in the communication module, the VOUT pin of AP2112 is connected to the 3V3 pin of the ESP32-S3 core board, the VBAT pin of the XH 2.54-2P interface terminal is connected to the drain (D) pin of SI2301 and the BAT pin of TP4056; the Micro USB provides 5V voltage to the circuit, and the battery is connected to the BAT pin of TP4056 through the XH The 2.54-2P terminal block is connected to the main board. SI2301 and IN5819 control the current on and off and provide reverse protection for the circuit. TP4056 is used as a charging management chip to charge the battery and provide overcharge protection. When charging, the red LED indicator lights up. When fully charged, the green LED indicator lights up and the red LED indicator goes out. AP2112 is used as a 3.3V linear regulator to convert the high voltage (5V, 3.7V) input from Micro USB and the battery into a stable output of 3.3V. The ESP32-S3 core board charges the battery and powers the circuit through the charging module.

[0035] like Figure 7 The circuit principle diagram of the communication module of the present invention is shown as follows: the communication module is composed of a chip of model CP2102 and S8050 and a Micro-B USB connector; the VBUS pin of the Micro USB is connected to the VBUS pin of the CP2102, and a 5V voltage is provided through the Micro USB. The D+ and D- pins of USB are connected to the D+ and D- pins of CP2102 for differential transmission. The TXD and RXD pins of CP2102 are connected to the RXD0 and TXD0 pins of the ESP32-S3 core board. RXD is responsible for asynchronous data input, and TXD is responsible for asynchronous data output. Data transmission is realized through UART serial port communication. DTR is the data terminal ready control output pin, and RTS is the ready to send control output pin. Both pins are valid at low level. The DTR and RTS pins are cross-connected with the B (base) pin of one S8050 and the E (emitter) pin of another S8050 respectively. The C (collector) pin of the S8050 connected with the B (base) pin and the DTR pin is connected to the EN pin of the ESP32-S3, and the C (collector) pin of the S8050 connected with the B (base) pin and the RTS pin is connected to the IO0 pin of the ESP32-S3 to realize automatic data download. The ESP32-S3 core board converts the onboard USB to TTL through the communication module to achieve serial communication of the mainboard.

[0036] like Figure 8 The circuit principle diagram of the indicator light module of the present invention is shown as follows: the indicator light module is composed of a 0603 LED; the positive electrode of the LED is connected to the IO46 pin of the ESP32-S3 core board, and the indicator light turns on when an illegal drone is detected. The ESP32-S3 core board displays the detection status of illegal drones through the indicator light module.

[0037] like Fig. 9 The circuit principle diagram of the display screen module of the present invention is shown as follows: the display screen module is a module composed of chips of model ILI9341 and XPT2046; the SC1, SC2, SCK, MISO, and MOSI pins of the display screen module are connected to the IO39, IO3, IO40, IO41, and IO42 pins of the ESP32-S3 core board, and communicate through the SPI communication protocol; the PEN pin is used to detect whether the touch screen is touched, the D / C pin is a data / command selection pin, which writes commands at low levels and writes data at high levels, and the RST pin is a reset pin for resetting the display screen to an initial state, which are respectively connected to the IO47, IO48, and IO38 pins of the ESP32-S3 core board. The ESP32-S3 core board displays the information and quantity of the intrusion detection of black flying drones through the display screen module.

[0038] like Fig.10The feature capture module of the present invention is shown, including convolutional layers, spatial pyramid pooling (spatial pyramid pooling), upsampling and splicing operations, local and global attention units. The convolutional layer uses a convolution operation with a kernel size of 3 (k=3), a step size of 2 (s=2), and a padding of 1 (p=1), allowing the layer to control the size of the output feature map through the step size and padding while extracting image features. Then through four repeated structures, each structure contains a convolutional layer (Conv) followed by a C2f module of YOLOv8. Then, the feature map is pooled at different scales through spatial pyramid pooling to maintain spatial information of different resolutions. After that, the low-resolution feature map is adjusted to the size of the higher resolution layer through upsampling and splicing operations, and then spliced ​​with the corresponding high-resolution feature map. The three feature maps output at the end are used as inputs of the local and global attention units. The local attention unit captures the channel dependency of features through 1x1 convolution operations, reduces the number of channels to reduce complexity, and normalizes and nonlinearly processes the feature map through batch normalization and ReLU activation functions. The global attention unit captures global context information through adaptive average pooling and 1x1 convolution, and extracts global features after reducing the spatial dimension. After combining the two, the output is weighted through the Sigmoid activation function (S) to strengthen important features and suppress irrelevant information. This module provides a more comprehensive feature capture and understanding of the input data through the coordination of local and global attention, and then predicts the center position, height and width of each predicted bounding box, and the drone confidence through the YOLOv8 detector.

[0039] like Fig.11 The optimization module of the present invention is shown, which optimizes the computational dependencies and task order of the model by adjusting the drone detection model to a lightweight format supported by ESP32, then converting it to TorchScript format and generating a data flow graph (DFG). Through virtual execution units (vEUs), task scheduling does not need to directly rely on physical hardware, which improves the flexibility and scalability of model compilation. Tasks are generated by DFG. As the basic computing unit of the system, hardware scheduling ensures that tasks are executed in the most efficient order, maximizing computing speed and reducing resource consumption. Static mapping provides a fixed task execution order, which is converted into machine code that can be run directly on execution units (EUs) and loaded into the memory of ESP32-S3, reducing scheduling overhead and improving hardware utilization. The optimization process of this module ensures the accuracy, real-time performance and efficient hardware deployment of drone detection.

[0040] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A system for detecting illegal drone intrusion, characterized in that: The invention comprises a hardware circuit and a software system, wherein the hardware circuit comprises an ESP32-S3 core board, a camera module, a vibration sensor module, an alarm module, a button module, a charging module, a communication module, an indicator light module and a display screen module, and the above modules are all connected to the ESP32-S3 core board; wherein the ESP32-S3 core board is used to process the data of the invasion of illegal drones and execute the reasoning of its detection model; the camera module is used to provide the hardware circuit with a function of capturing illegal drones; the vibration sensor module is used to provide the hardware circuit with a function of monitoring the safety status of the device; the alarm module is used to provide the hardware circuit with a function of intrusion of illegal drones and an alarm function of the safety status of the device; the button module is used to provide the hardware circuit with a switch control function, which is convenient for starting and terminating a program; the charging module is used to provide a charging function for an external power supply of the hardware circuit; the indicator light module is used to provide the hardware circuit with a function of displaying the detection status of illegal drones; the communication module is used to provide the hardware circuit with a serial communication function to realize two-way transmission of data; the display screen module is used to provide the hardware circuit with a function of displaying the information of the invasion detection of illegal drones and the number; and the ESP32-S3 core board feeds back the received instructions.

2. The illegal drone intrusion detection system according to claim 1 is characterized in that: The software system includes a feature capture module and an optimization module. The feature capture module is used to extract feature information from an input image. The feature capture module includes a convolution operation block, a C2f module, a spatial pyramid pooling block, a local attention unit, and a global attention unit. The module performs deep feature extraction and feature representation, and locates, classifies, and scores the confidence of each predicted bounding box through a detector in YOLOv8. The optimization module optimizes and stores the model in its memory through model format adjustment, TorchScript units, data flow graphs, virtual execution units, task scheduling, static mapping, and loading, so as to comprehensively optimize the drone detection model.

3. The illegal drone intrusion detection system according to claim 1 is characterized in that: The camera module is composed of an image sensor model OV2640, an XC6206P132MR chip and an XC6206P282MR chip. The VIN pins of the XC6206P132MR and XC6206P282MR chips in the camera module are connected to the 3V3 pin of the core board, and the VOUT pins of the XC6206P132MR and XC6206P282MR chips are connected to the DVDD and DOVDD pins of the OV2640 respectively. The voltage regulator outputs the input 3.3V as 1.3V and 2.8V respectively to provide power for OV2640; the D0, D1, D2, D3, D4, D5, D6, D7, PCLK, XCLK, HREF, VSYNC, SIOC, and SIOD pins of OV2640 are respectively connected to the IO17, IO5, IO4, IO6, IO16, IO8, IO9, IO11, IO18, IO10, IO12, IO13, IO14, and IO21 pins of the ESP32-S3 core board; and communicates through the SCCB communication protocol to provide the control circuit with a function of capturing illegal drones.

4. The illegal drone intrusion detection system according to claim 1 is characterized in that: The vibration sensor module is composed of a spring vibration switch of model SW-58010P, a LM393 chip and a 0603 LED. Pin 3 of the LM393 is connected to pin 2 of the SW-58010P, pin 2 is connected to the 3V3 pin of the ESP32-S3 core board through an R14 potentiometer, and pin 1 is connected to the IO35 pin of the ESP32-S3 core board. By triggering the spring vibration switch, the non-inverting input terminal of the LM393 voltage comparator is compared with the inverting input terminal, and displayed by a red LED indicator, which is used to provide the control circuit with a monitoring function for the safety status of the device.

5. The illegal drone intrusion detection system according to claim 1 is characterized in that: The alarm module is composed of a passive buzzer with model SFN-1270-0540-35P5.0 and an S8050 chip. The base pin of the S8050 is connected to the IO15 pin of the ESP32-S3 core board, and the collector pin is connected to the negative pole of the passive buzzer, which is used to provide the control circuit with an alarm function for the intrusion of illegal drones and the safety status of the device.

6. The illegal drone intrusion detection system according to claim 1 is characterized in that: The button module is composed of a touch switch of model TC-1109-CB. The four button No. 1 pins of the button module are respectively connected to the IO7, IO36, IO37 and EN pins of the ESP32-S3 core board, which are used to provide the control circuit with the function of starting and stopping the program.

7. The illegal drone intrusion detection system according to claim 1 is characterized in that: The charging module is composed of chips with model numbers TP4056, AP2112, IN5819 and SI2301, a 0603 LED and an XH 2.54-2P interface terminal. The VCC, CHRG, STDBY pins of TP4056 and the VIN pin of AP2112 are connected to the VBUS pin of the Micro USB in the communication module, the VOUT pin of AP2112 is connected to the 3V3 pin of the ESP32-S3 core board, and the VBAT pin of the XH 2.54-2P interface terminal is connected to the drain pin of SI2301 and the BAT pin of TP4056, so as to provide charging and power supply functions for the control circuit.

8. The illegal drone intrusion detection system according to claim 1 is characterized in that: The communication module is a module consisting of chips with models CP2102 and S8050 and a Micro-B USB connector; the VBUS pin of the Micro USB is connected to the VBUS pin of the CP2102, the D+ and D- pins of the Micro USB are connected to the D+ and D- pins of the CP2102, the TXD and RXD pins of the CP2102 are connected to the RXD0 and TXD0 pins of the ESP32-S3 core board, the DTR and RTS pins are cross-connected with the B pole pin of one S8050 and the E pole pin of another S8050, respectively, the C pole pin of the S8050 connected with the B pole pin and the DTR pin is connected to the EN pin of the ESP32-S3, the C pole pin of the S8050 connected with the B pole pin and the RTS pin is connected to the IO0 pin of the ESP32-S3, the onboard USB is converted to TTL, and asynchronous communication is performed through the UART serial communication protocol, which is used to provide a serial communication function for the control circuit to realize bidirectional transmission of data.

9. The illegal drone intrusion detection system according to claim 1 is characterized in that: The indicator light module is composed of a model 0603 LED, the positive pole of the LED is connected to the IO46 pin of the ESP32-S3 core board, and is used to provide the control circuit with a display and reminder function of the detection status of illegal drones.

10. The illegal drone intrusion detection system according to claim 1, characterized in that: The display screen module is composed of chips with model numbers XPT2046 and XPT2046. The CS1, CS2, SCK, MISO, MOSI, PEN, D / C, and RST pins of the display screen module are respectively connected to the IO39, IO3, IO40, IO41, IO42, IO47, IO48, and IO47 pins of the ESP32-S3 core board, and communicate through the SPI communication protocol to provide the control circuit with information on illegal drone intrusion detection and quantity display functions.

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