Rat disease treatment system based on visual detection technology and Internet of Things technology

Abstract

The invention discloses a mouse disease control system based on a visual inspection technology and an Internet of Things technology, and relates to the technical field of mouse disease prevention and treatment, and the mouse disease control system comprises a cloud management platform, an edge computing gateway, two monitoring cameras, two intelligent sockets, an ultrasonic mouse repeller, a high-voltage mouse killer and a hard disk video recorder; the edge computing gateway is respectively connected with the cloud management platform and the hard disk video recorder through a wired network, the monitoring camera is connected with the hard disk video recorder through a monitoring network, the intelligent socket is in communication connection with the edge computing gateway through a wireless network, and the ultrasonic mouse repeller and the high-voltage mouse killer are respectively connected with the intelligent socket through electrical circuits. And a temperature protection module is arranged in the high-voltage mouse killer. The system can realize active early warning, accurate intervention, safety, reliability and data-driven mouse disease treatment mode, is adaptive to multiple industry scenes of food, medical care, agriculture, logistics and the like, greatly improves the mouse disease treatment efficiency and safety, and reduces the operation and maintenance cost.

Description

Technical Field

[0001] This invention relates to the field of rodent control technology, and in particular to a rodent control system based on visual detection technology and Internet of Things (IoT) technology. Background Technology

[0002] Rodent infestations have a serious impact on multiple industries and sectors, causing not only property damage but also the spread of diseases, infrastructure destruction, and even threats to public health and safety. Currently, existing rodent control methods mainly fall into four categories: traditional physical control products, chemical control products, intelligent electronic control products, and AI-powered monitoring and early warning devices.

[0003] Traditional physical control products, such as rat traps and sticky traps, require manual placement, inspection, and cleaning, which is inefficient and ineffective in dealing with large-scale rodent infestations. They also have problems such as troublesome carcass disposal, limited applicable environments, and inhumane treatment. Chemical control products, such as poison bait stations, require manual replenishment of bait regularly, and it is impossible to know whether the rodents have eaten it. This may lead to the death of rats in hidden places, producing an unpleasant odor. They also have the problem of drug resistance and are banned in industries such as catering. Among intelligent electronic control products, high-voltage rat traps pose a safety hazard of high voltage injury, and ultrasonic rat repellers have weak sound wave penetration and are easily blocked by obstacles. Rodents can easily adapt to them, and there is a lack of effective scientific evidence to support their control effects. Although monitoring AI early warning devices can achieve active defense, they can only issue warnings and lack supporting effective control and prevention measures.

[0004] The aforementioned existing technologies are all passive rodent control methods, which have shortcomings such as insufficient safety, low efficiency, and poor versatility. They cannot meet the needs of various industries for precise, intelligent, and efficient rodent control. Therefore, there is an urgent need for a rodent control system that can achieve proactive early warning, precise intervention, safety, reliability, and data-driven operation to solve the above technical problems. Summary of the Invention

[0005] This invention discloses a rodent control system based on visual detection technology and Internet of Things (IoT) technology. The system utilizes an edge computing gateway with a deployed rodent detection algorithm, a monitoring camera, and a smart socket with a rodent repellent drive module. During operation, the monitoring camera collects high-definition video data; the edge computing gateway analyzes and identifies rodent activity in real time and counts frequency; the rodent repellent drive module controls an ultrasonic rodent repellent to drive rodents away according to set parameters; and high-pressure rodent killers are precisely deployed. This system achieves a shift from passive response to proactive rodent detection and precise intervention, quickly curbing the spread of rodents and improving rodent control efficiency. By incorporating an edge computing gateway with human detection algorithms, a high-voltage rodent killer with a built-in temperature protection module, and a smart socket with a current detection module, the system can identify intruders and trigger the high-voltage rodent killer to cut off power during operation. The temperature protection module prevents the equipment from overheating and causing fires, and the current detection module monitors the equipment's operating status in real time. Meanwhile, the edge computing gateway's smoke and fire detection algorithm assists in preventing safety hazards, achieving multiple safety protection functions and effects. This aims to avoid risks such as high-voltage injuries and electrical fires, and ensure the safety of personnel and the environment. By incorporating a hard disk recorder with a cloud management platform, a built-in RAID backup module, and an edge computing gateway with a 4G communication module, the system can aggregate and analyze rodent infestation data and remotely control processes through the cloud management platform during operation. The RAID backup module ensures the security and traceability of video data, while the 4G communication module overcomes the limitations of wired networks to adapt to remote scenarios. Simultaneously, smart sockets enable refined management of devices, achieving the functions and effects of data-driven decision support and flexible adaptation to multiple scenarios. This meets the rodent infestation control needs of various industries such as food, medical care, and agriculture, promoting the scientific and standardized management of rodent infestations. In summary, the problems in the background technology are solved.

[0006] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: The rodent control system based on visual detection technology and Internet of Things technology of the present invention includes a cloud management platform, an edge computing gateway, two monitoring cameras, two smart sockets, an ultrasonic rodent repeller, a high-voltage rodent killer, and a hard disk recorder; The edge computing gateway is connected to the cloud management platform and the hard disk recorder via wired networks, the surveillance camera is connected to the hard disk recorder via a monitoring network, the smart socket is connected to the edge computing gateway via a wireless network, and the ultrasonic rodent repeller and the high-voltage rodent killer are connected to the smart socket via electrical circuits. The high-voltage rodent killer has a built-in temperature protection module. The edge computing gateway has a built-in processor, which deploys mouse detection algorithm, human detection algorithm, garbage detection algorithm and smoke detection algorithm. The edge computing gateway uses a mouse detection algorithm to perform loop detection on video footage captured by surveillance cameras, counting the frequency of mouse occurrences in each area. It uses a human detection algorithm to identify human targets within the high-voltage rodent control area, a garbage detection algorithm to identify uncovered garbage bins and surrounding garbage accumulation, and a smoke and fire detection algorithm to identify the shape of smoke and the color and shape of flames. The smart socket uses a current detection module to detect the operating current of the high-voltage rodent control device. The cloud management platform receives data transmitted from the edge computing gateway via the internet, enabling algorithm deployment and automated rodent control process management. The edge computing gateway controls the power supply and de-energization of the ultrasonic rodent repeller and the high-voltage rodent control device through the smart socket. The hard disk recorder stores the video data captured by the surveillance cameras.

[0007] Furthermore, the surveillance camera is connected to the monitoring network via a PoE cable, which simultaneously provides power and data transmission for the camera; the hard disk recorder has a built-in RAID backup module, which establishes a data connection with the storage unit of the hard disk recorder to achieve dual backup of video data.

[0008] Furthermore, the edge computing gateway has a built-in 4G communication module, which establishes a data connection with the processor of the edge computing gateway to enable communication with the cloud management platform in a wired network environment.

[0009] Furthermore, it also includes an IoT switch, which is connected to the edge computing gateway and the smart socket via a wired network.

[0010] Furthermore, the smart socket and the IoT switch are physically connected via Ethernet cables. The IoT switch is equipped with four 100Mbps Ethernet ports and supports the IEEE 802.3 standard. The edge computing gateway is connected to the IoT switch via a gigabit Ethernet port.

[0011] Furthermore, it also includes a timing control module, which is integrated inside the edge computing gateway. The timing control module establishes a communication connection with the smart socket through a wireless network. The timing control module has a built-in time setting unit and an instruction generation unit. The time setting unit allows users to remotely configure the on / off time parameters through a cloud management platform. The instruction generation unit generates on / off control instructions based on the parameters of the time setting unit.

[0012] Furthermore, the edge computing gateway also has a built-in algorithm threshold adjustment module, which establishes data connections with the mouse detection algorithm and the human detection algorithm respectively, and supports remote input of values ​​through the cloud management platform.

[0013] Furthermore, it also includes a rodent repellent drive module, which is integrated inside the smart socket. The rodent repellent drive module is connected to the ultrasonic rodent repellent via electrical wiring. The rodent repellent drive module has a built-in time control unit and a power adjustment unit. The time control unit is used to set the single drive duration parameter, and the power adjustment unit is used to set the output power parameter of the ultrasonic rodent repellent.

[0014] The present invention has the following advantages over the prior art: 1. This technical solution utilizes an edge computing gateway equipped with a mouse detection algorithm, a monitoring camera, and a smart socket with a mouse repellent drive module. When the system is working, it can collect high-definition video data through the monitoring camera, analyze and identify mouse activities in real time and count the frequency through the edge computing gateway, and control the ultrasonic mouse repellent to drive away mice in a directional manner according to the set parameters through the mouse repellent drive module. At the same time, it can be combined with high-pressure rodent killers for precise control, so as to realize the role and effect of moving from passive response to active detection of rodent infestation and precise and directional intervention, thereby achieving the purpose of quickly curbing the spread of rodent infestation and improving rodent control efficiency. 2. This technical solution utilizes an edge computing gateway equipped with a human detection algorithm, a high-voltage rodent killer with a built-in temperature protection module, and a smart socket with a current detection module. During operation, the system can identify intruders using the human detection algorithm and trigger the high-voltage rodent killer to cut off power. The temperature protection module prevents overheating and fires. The current detection module monitors the equipment's operating status in real time. Simultaneously, the edge computing gateway's smoke and fire detection algorithm assists in preventing safety hazards, achieving multiple layers of safety protection to avoid risks such as high-voltage injuries and electrical fires, thus ensuring the safety of personnel and the environment. 3. This technical solution utilizes a hard disk recorder equipped with a cloud management platform, a built-in RAID backup module, and an edge computing gateway with a 4G communication module. During operation, the system can aggregate and analyze rodent infestation data and remotely control processes through the cloud management platform. The RAID backup module ensures the security and traceability of video data, while the 4G communication module overcomes the limitations of wired networks to adapt to remote scenarios. Simultaneously, smart sockets enable refined device management, achieving data-driven decision support and flexible adaptation to multiple scenarios. This solution meets the rodent control needs of various industries, including food, healthcare, and agriculture, promoting the scientific and standardized management of rodent infestations. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the overall system module connection structure of the present invention; Figure 2 This is a schematic diagram of the system workflow of the present invention; Figure 3 This is a schematic diagram of the system network topology of the present invention; Figure 4 This is a schematic diagram illustrating the working principle of the present invention for determining whether a rat has been electrocuted. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Reference Figures 1-4 A rodent control system based on visual inspection technology and Internet of Things technology includes a cloud management platform, an edge computing gateway, two surveillance cameras, two smart sockets, an ultrasonic rodent repeller, a high-voltage rodent killer, and a hard disk recorder. The edge computing gateway is connected to the cloud management platform and the hard disk recorder via wired network. The surveillance camera is connected to the hard disk recorder via the surveillance network. The smart socket is connected to the edge computing gateway via wireless network. The ultrasonic rodent repeller and the high-voltage rodent killer are connected to the smart socket via electrical circuits. The high-voltage rodent killer has a built-in temperature protection module. The edge computing gateway has a built-in processor, which deploys algorithms for mouse detection, human detection, garbage detection, and smoke detection. The edge computing gateway uses a mouse detection algorithm to perform loop detection of video footage captured by surveillance cameras, counts the frequency of mouse occurrences in each area, uses a human detection algorithm to identify human targets in the high-voltage rodent control area, uses a garbage detection algorithm to identify uncovered garbage cans and the surrounding garbage accumulation, and uses a smoke and fire detection algorithm to identify the shape of smoke and the color and shape of flames. The smart socket uses a current detection module to detect the operating current of the high-voltage rodent control device. The cloud management platform receives data transmitted by the edge computing gateway via the Internet to realize algorithm deployment and automated rodent control process management. The edge computing gateway controls the power supply and power-off of the ultrasonic rodent repeller and the high-voltage rodent control device through the smart socket. The hard disk recorder is used to store the video data captured by the surveillance cameras. The surveillance camera connects to the monitoring network via a PoE cable, which provides both power and data transmission for the camera. The hard disk recorder has a built-in RAID backup module, which establishes a data connection with the recorder's storage unit to achieve dual backup of video data. The edge computing gateway has a built-in 4G communication module, which establishes a data connection with the edge computing gateway's processor to enable communication with the cloud management platform in a wired network environment; it also includes an IoT switch, which connects to the edge computing gateway and the smart socket via a wired network. The smart socket and the IoT switch are physically connected via Ethernet cable. The IoT switch is equipped with four 100Mbps Ethernet ports and supports the IEEE 802.3 standard. The edge computing gateway is connected to the IoT switch via a gigabit Ethernet port. It also includes a timing control module, which is integrated inside the edge computing gateway. The timing control module establishes a communication connection with the smart socket through a wireless network. The timing control module has a built-in time setting unit and an instruction generation unit. The time setting unit allows users to remotely configure the on / off time parameters through the cloud management platform, and the instruction generation unit generates on / off control instructions based on the parameters of the time setting unit. The edge computing gateway also has a built-in algorithm threshold adjustment module. The algorithm threshold adjustment module establishes data connections with the mouse detection algorithm and the human detection algorithm respectively. The algorithm threshold adjustment module supports remote input of values ​​through the cloud management platform. It also includes a rodent repellent drive module, which is integrated inside the smart socket. The rodent repellent drive module is connected to the ultrasonic rodent repellent through electrical wiring. The rodent repellent drive module has a built-in time control unit and a power adjustment unit. The time control unit is used to set the single drive duration parameter, and the power adjustment unit is used to set the output power parameter of the ultrasonic rodent repellent. It should be noted that: The surveillance camera is an infrared PTZ camera with fixed-point cruise function and 20x zoom capability, and a resolution of 4MP. The edge computing gateway uses an N100 CPU with an X64 architecture, 8GB of RAM and a 128GB solid-state drive, and has a gigabit Ethernet port and WiFi communication module. The smart socket has a rated current of 10A, a current detection accuracy of 0.01A, an action response time of 0.2S, and uses the MQTT communication protocol. The high-voltage rodent killer has an output voltage of 1800V, an no-load output current of 35mA, and a rodent-catching current of 280mA. The negative electrode of the rodent trap is made of stainless steel, the positive electrode is made of 1mm iron wire, and the electrode spacing is 3cm. The ultrasonic rodent repeller has a power of less than 22W, a sound wave frequency range of 12-24KHz, and an application range of 450-600 square meters. The smart socket receives control commands from the edge computing gateway through an IoT switch, and simultaneously uploads current detection data to the edge computing gateway through the IoT switch. The communication between the IoT switch and the edge computing gateway uses the TCP / IP protocol, while the communication between the smart socket and the IoT switch uses the Modbus protocol, enabling real-time data transmission and interaction. The high-pressure rodent killer has a built-in temperature protection module. When the device electrocutes a rat, the power increases. If the device operates for a long time, the temperature protection mechanism will be triggered and the power will be automatically cut off. The power supply will be restored after the device temperature drops. The edge computing gateway is powered by an AC220V to DC12V adapter and runs the Debian operating system. The edge computing gateway also has a built-in 4G communication module, which establishes a data connection with the edge computing gateway's processor to enable communication with the cloud management platform in a wired network environment. The smart socket is powered by AC220V and uses a Type-C interface for firmware upgrades. The smart socket's publish topic is set to data / {client-id} / recv, and the subscription topic is set to data / {client-id} / push. The instruction generation unit generates on / off control instructions based on the parameters of the time setting unit and transmits the instructions to the smart socket. The smart socket controls the power-on and power-off status of the ultrasonic rodent repeller and the high-voltage rodent killer within a preset time period according to the instructions. The algorithm threshold adjustment module supports remote input of values ​​through the cloud management platform. The module assigns the input values ​​to the detection thresholds of the mouse detection algorithm and the human detection algorithm, respectively. The detection threshold for the mouse detection algorithm is set to 60%, and the detection threshold for the human detection algorithm is set to 58%. The power adjustment unit is used to set the output power parameters of the ultrasonic rodent repeller. The rodent repeller drive module controls the ultrasonic rodent repeller to operate at a set power within a set time period according to the parameters of the time control unit and the power adjustment unit. The single drive time is set to 30s, and the output power parameter range is set to 15W-22W. It should be noted that: The edge computing gateway connects to the cloud management platform and the hard disk recorder via a wired network, and enables emergency communication in environments without a wired network through a 4G communication module; the surveillance camera connects to the monitoring network via a PoE cable, simultaneously providing power and transmitting video data, with the other end of the PoE cable connected to the hard disk recorder, forming a closed loop of acquisition-transmission-storage; the IoT switch connects to the edge computing gateway via a gigabit port and to the smart socket via a 100 Mbps port, using the Modbus protocol to achieve data interaction between devices; The edge computing gateway obtains power through an AC220V to DC12V adapter, while the smart socket is directly connected to an AC220V power supply. The ultrasonic rodent repeller and high-voltage rodent killer are connected to the smart socket through electrical wiring and controlled by the smart socket. The smart socket has a built-in current detection module that collects the operating current of the high-voltage rodent killer in real time and feeds it back to the edge computing gateway through an IoT switch. The timing control module and algorithm threshold adjustment module are integrated inside the edge computing gateway, establishing data connections with the smart socket and detection algorithm respectively; the rodent repeller drive module is integrated inside the smart socket, forming an electrical control link with the ultrasonic rodent repeller; the RAID backup module built into the hard disk recorder is directly connected to the storage unit to achieve video data backup.

[0019] In the specific implementation process, during the system deployment phase, two surveillance cameras are connected to the monitoring network and then to the hard disk recorder via a PoE cable. The PoE cable simultaneously provides power to the cameras and transmits 4MP high-definition video data. Combined with the cameras' 20x zoom and pinpoint navigation functions, this achieves comprehensive coverage of the monitored area. The hard disk recorder's built-in RAID backup module establishes a data connection with the storage unit, providing dual backup of the video data captured by the cameras. Even if a single hard drive fails, data loss is guaranteed, providing reliable evidence for subsequent rodent infestation tracing and incident verification. The edge computing gateway establishes a wired network with the hard disk recorder and cloud management platform via a gigabit Ethernet port. The device is equipped with a built-in 4G communication module, which automatically switches to the 4G network to communicate with the cloud management platform in scenarios without wired networks, such as remote farms and outdoor warehouses, thus overcoming network environment limitations. The two smart sockets are connected to the 100Mbps Ethernet ports of the IoT switch via Ethernet cables, while the edge computing gateway is connected to the IoT switch via a gigabit Ethernet port. The IoT switch supports the IEEE 802.3 standard, uses the TCP / IP protocol to communicate with the edge computing gateway, and interacts with the smart sockets via the Modbus protocol to build a stable device control network. The ultrasonic rodent repeller and high-voltage rodent killer are connected to their respective smart sockets to complete the electrical wiring connections. During system operation, the edge computing gateway's processor activates deployed mouse detection, human detection, garbage detection, and smoke detection algorithms to perform loop-by-loop detection of the monitoring video transmitted by the hard disk recorder. The mouse detection algorithm identifies mouse targets in the video with a detection threshold of 60%, counts the frequency of mouse occurrences in each monitoring area, and uploads the data to the cloud management platform. The cloud management platform determines the severity of the rodent infestation based on the frequency data and issues intervention commands to the edge computing gateway. After receiving the commands, the edge computing gateway sends control signals to smart sockets connected to ultrasonic rodent repellers via IoT switches. The rodent repeller driver module built into the smart socket controls the ultrasonic rodent repeller to emit 12-24KHz sound waves with a power of 15-22W according to preset parameters, with a single repeller duration set to 30 seconds, targeting high-frequency areas for targeted rodent removal. For areas with severe rodent infestations, the edge computing gateway controls the smart sockets connected to high-voltage rodent killers to power on, initiating 1800V high-voltage deployment. During the safety protection process, the human detection algorithm of the edge computing gateway monitors the deployment location of the high-voltage rodent killer in real time with a detection threshold of 58%. Once a human target is detected, a power-off command is immediately sent to the smart socket. The smart socket responds within 0.2 seconds, cutting off the power supply to the high-voltage rodent killer to prevent injury from 1800V high voltage. The temperature protection module built into the high-voltage rodent killer monitors the device temperature in real time. When a rat is captured, the current rises to 280mA, and the increased power of the device causes the temperature to rise. When the set threshold is reached, the power is automatically triggered to cut off the power. The power supply is restored after the temperature drops to prevent overheating and fire. The current detection module of the smart socket collects the operating current of the high-voltage rodent killer in real time with an accuracy of 0.01A. When an abnormal current is detected (such as a continuous abnormal 35mA under no-load or a sudden change in short-circuit current), the data is immediately uploaded to the edge computing gateway, and the power supply is cut off at the same time. The smoke and fire detection algorithm of the edge computing gateway analyzes the video footage in real time to identify the characteristics of smoke and flames, providing double protection against potential electrical fire hazards. In terms of refined management, managers can remotely access the algorithm threshold adjustment module of the edge computing gateway through the cloud management platform to adjust the threshold parameters for rat detection and human detection according to different scenario requirements. The time setting unit of the timing control module configures the on / off times, and the instruction generation unit generates on / off instructions based on the parameters, controlling ultrasonic rodent repellers to operate at high frequency during nighttime rodent activity periods and high-pressure rodent killers to be deployed during periods of low population density. The cloud management platform aggregates data such as rodent infestation frequency, device current, and algorithm detection results transmitted from the edge computing gateway, generating rodent infestation heat maps and equipment operation reports for each area. Managers can remotely optimize the deployment process based on these reports. When the garbage detection algorithm identifies an uncovered garbage can or surrounding garbage accumulation, the cloud management platform immediately pushes an early warning message, reminding on-site personnel to clean it up, reducing rodent food sources at the source. When firmware upgrades for smart sockets are needed, they can be completed quickly via the Type-C interface, ensuring continuous optimization of device functionality. Among them, the surveillance camera and hard disk recorder are connected by POE network cable, which eliminates the need to lay additional power lines, reducing construction costs and complexity. At the same time, the combination of 4MP high-definition resolution and RAID backup ensures that video data is clear and traceable, providing strong support for rodent infestation analysis and responsibility determination. Among them, the edge computing gateway has a built-in 4G communication module, which enables the system to get rid of its dependence on wired networks and can operate stably in remote agricultural bases, mountain warehouses and other scenarios, greatly improving the applicability of the system. Among them, the IoT switch enables orderly communication between the edge computing gateway and multiple smart sockets; the differentiated configuration of gigabit and 100 Mbps network ports matches the data transmission needs of different devices; and the combination of Modbus and TCP / IP protocols ensures real-time interaction of control commands and detection data, improving the system's response efficiency. Among them, the smart socket and the IoT switch are connected by Ethernet cable and comply with the IEEE 802.3 standard to ensure the stability and compatibility of communication. The gigabit network port connection of the edge computing gateway ensures the rapid transmission of a large amount of video data and control commands, avoiding control delays caused by network congestion. Among them, the timer control module allows users to remotely set the on / off time of the equipment through the cloud management platform, so that the ultrasonic rodent repeller can automatically run at high frequency at night when rodents are active, and the high-pressure rodent killer can be activated during periods when there are fewer people. This not only improves the efficiency of rodent control, but also reduces interference with people's activities, and realizes energy-saving operation of the equipment. Among them, the algorithm threshold adjustment module supports remote adjustment of the detection threshold. In food processing plants with frequent personnel flow, the human detection threshold can be increased to avoid false triggering, while in warehouses and other sparsely populated areas, the rat detection threshold can be reduced to improve recognition sensitivity, adapting to the detection needs of different scenarios. Among them, the time control unit and power adjustment unit of the rodent repellent drive module can adjust the running time and power of the ultrasonic rodent repellent according to the severity of the rodent infestation. In the early stage of the rodent infestation, the rodents are driven away with low power and short duration, and in the high-incidence period, the rodents are driven away with high power and long duration to strengthen the intervention, so as to avoid energy waste while ensuring the control effect. The surveillance cameras use the ONVIF protocol, are compatible with multiple brands of surveillance equipment, and are powered by DC12V with PoE network cables, eliminating the need for additional power cables and reducing construction complexity. The hard disk recorder supports up to 12 camera connections, and its 2TB large-capacity storage meets the long-term video retention needs of multiple areas. It conforms to the GB / T28181 protocol and is compatible with public security monitoring standards. The built-in RAID backup module can prevent video loss due to single hard disk failure, improving data security. It is suitable for scenarios with strict requirements for video traceability, such as hospitals and food factories. The edge computing gateway is powered by an AC220V to DC12V adapter, which is compatible with the mains power environment in most scenarios. The Debian operating system is more lightweight than Ubuntu, reducing hardware resource consumption. The 4G communication module provides network support for remote areas without network cables (such as agricultural greenhouses and suburban grain depots). The smart socket enables firmware upgrades through the Type-C interface, allowing for function updates without disassembling the device. Among them, the timing control module realizes the automatic start and stop of the equipment, the algorithm threshold adjustment module adapts to the detection accuracy requirements of different scenarios, the rodent repellent drive module realizes the fine control of the ultrasonic rodent repellent, the IoT switch ensures the stability of wired communication, and the collaboration of all components realizes the intelligent full-process monitoring-early warning-intervention-feedback of the system.

[0020] The recommended hardware devices for the above technical solutions are as follows: Recommended hard disk recorder: Brand: Hikvision Maximum number of access channels: 12 Storage: 2TB Functions: Human detection, fixed-point inspection Power supply: DC12V; Communication protocol: RTSP GB28181; Smart socket: Power supply: AC220V; Rated current: 10A Communication method: WiFi; Current detection accuracy: 0.01A Action response time: 0.2S; Communication protocol: MQTT; Recommended high-pressure rodent killer: Brand: Powercater Product Weight: 1.9KG Output voltage: 1800V; No-load output current: 35mA Mouse trap current: 280mA; Mouse trap negative electrode: Stainless steel Electrode spacing: 3cm; Positive electrode of the mousetrap: 1mm wire; Recommended ultrasonic rodent repeller: Brand: Royal Cat; Power Supply Voltage: 220V Power: <22W; Sound frequency: 12-24KHz Application range: 450-600 square meters.

[0021] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A rodent control system based on visual inspection technology and Internet of Things (IoT) technology, characterized in that, It includes a cloud management platform, an edge computing gateway, two surveillance cameras, two smart sockets, an ultrasonic rodent repeller, a high-voltage rodent killer, and a hard disk recorder; The edge computing gateway is connected to the cloud management platform and the hard disk recorder via wired networks, the surveillance camera is connected to the hard disk recorder via a monitoring network, the smart socket is connected to the edge computing gateway via a wireless network, and the ultrasonic rodent repeller and the high-voltage rodent killer are connected to the smart socket via electrical circuits. The high-voltage rodent killer has a built-in temperature protection module. The edge computing gateway has a built-in processor, which deploys mouse detection algorithm, human detection algorithm, garbage detection algorithm and smoke detection algorithm. The edge computing gateway uses a mouse detection algorithm to perform loop detection on video footage captured by surveillance cameras, counting the frequency of mouse occurrences in each area. It uses a human detection algorithm to identify human targets within the high-voltage rodent control area, a garbage detection algorithm to identify uncovered garbage bins and surrounding garbage accumulation, and a smoke and fire detection algorithm to identify the shape of smoke and the color and shape of flames. The smart socket uses a current detection module to detect the operating current of the high-voltage rodent control device. The cloud management platform receives data transmitted from the edge computing gateway via the internet, enabling algorithm deployment and automated rodent control process management. The edge computing gateway controls the power supply and de-energization of the ultrasonic rodent repeller and the high-voltage rodent control device through the smart socket. The hard disk recorder stores the video data captured by the surveillance cameras.

2. The rodent control system based on visual detection technology and Internet of Things technology according to claim 1, characterized in that, The surveillance camera is connected to the monitoring network via a PoE cable, which simultaneously provides power and data transmission for the camera. The hard disk recorder has a built-in RAID backup module, which establishes a data connection with the storage unit of the hard disk recorder to achieve dual backup of video data.

3. The rodent control system based on visual detection technology and Internet of Things technology according to claim 1, characterized in that, The edge computing gateway has a built-in 4G communication module, which establishes a data connection with the processor of the edge computing gateway to enable communication with the cloud management platform in a wired network environment.

4. The rodent control system based on visual detection technology and Internet of Things technology according to claim 1, characterized in that, It also includes an IoT switch, which is connected to the edge computing gateway and the smart socket via a wired network.

5. The rodent control system based on visual detection technology and Internet of Things technology according to claim 4, characterized in that, The smart socket and the IoT switch are physically connected via Ethernet cable. The IoT switch is equipped with four 100Mbps Ethernet ports and supports the IEEE 802.3 standard. The edge computing gateway is connected to the IoT switch via a gigabit Ethernet port.

6. The rodent control system based on visual detection technology and Internet of Things technology according to claim 1, characterized in that, It also includes a timing control module, which is integrated inside the edge computing gateway. The timing control module establishes a communication connection with the smart socket through a wireless network. The timing control module has a built-in time setting unit and an instruction generation unit. The time setting unit allows users to remotely configure the on / off time parameters through a cloud management platform. The instruction generation unit generates on / off control instructions based on the parameters of the time setting unit.

7. The rodent control system based on visual detection technology and Internet of Things technology according to claim 1, characterized in that, The edge computing gateway also has a built-in algorithm threshold adjustment module, which establishes data connections with the mouse detection algorithm and the human detection algorithm respectively. The algorithm threshold adjustment module supports remote input of values ​​through the cloud management platform.

8. The rodent control system based on visual detection technology and Internet of Things technology according to claim 1, characterized in that, It also includes a rodent repellent drive module, which is integrated inside the smart socket. The rodent repellent drive module is connected to the ultrasonic rodent repellent through electrical wiring. The rodent repellent drive module has a built-in time control unit and a power adjustment unit. The time control unit is used to set the single drive duration parameter, and the power adjustment unit is used to set the output power parameter of the ultrasonic rodent repellent.

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