Intelligent mosquito trapping device based on skin bionics and carbon dioxide synergistic induction and mosquito trapping control method

Abstract

The invention belongs to the technical field of mosquito medium prevention and control, and provides an intelligent mosquito trapping device based on skin bionics and carbon dioxide synergistic induction and a mosquito trapping control method.The main scheme is that a master control single-chip microcomputer drives a mosquito suction fan to build basic negative pressure and controls a heating element to maintain the simulated body temperature of a sweat box so as to accelerate volatilization of bionic sweat; intermittently opening according to the human body resting frequency to release carbon dioxide in a pulse manner; carbon dioxide and sweat are mixed through the fluid director and spread all around to form a bionic induction field, and when mosquitoes are attracted to the position near the shell, the mosquitoes are sucked by the negative pressure fan to an anti-escape gauze in the mosquito storage drawer. After the visual identification module monitors that aedes appear in the induction area and accurate confirmation is carried out through a deep learning algorithm, a feedback signal is sent to the single-chip microcomputer to trigger intelligent closed-loop control; the single-chip microcomputer dynamically adjusts the carbon dioxide pulse frequency and temperature control parameters according to the number of the mosquitoes to enhance the induction intensity, so that the mosquitoes are dehydrated and air-dried under the action of continuous airflow, and recognition and counting results are uploaded to the cloud platform.

Description

Technical Field

[0001] This invention relates to the field of mosquito vector control technology, and in particular to an intelligent mosquito trapping device and mosquito control method based on skin bionics and carbon dioxide synergistic induction. Background Technology

[0002] Aedes mosquitoes are globally recognized health threats, not only biting and harassing humans but also serving as the primary vectors for many highly contagious diseases such as dengue fever, Zika virus, chikungunya, and yellow fever. In recent years, with the intensification of global warming, rising temperatures have altered the mosquito's habitat, leading to a continuous expansion of its range. In my country, the distribution boundary of Aedes mosquitoes shows a clear northward shift, with high-density Aedes mosquito activity now appearing in many previously cold northern regions, posing new and serious challenges to public health and residents' health in my country.

[0003] Unlike Culex mosquitoes, which are active at night, Aedes mosquitoes are typical diurnal pests. Their diurnal activity makes traditional ultraviolet mosquito killers, which rely on phototaxis, almost ineffective in strong light. Chemical control methods not only easily lead to mosquito resistance but also pose environmental pollution and health risks. Furthermore, most existing carbon dioxide mosquito traps use a constant-rate release mode, lacking comprehensive simulation of human respiratory rhythms, body temperature, and sweat odor. This makes them ineffective at attracting female Aedes mosquitoes with a strong blood-feeding desire and also results in rapid gas consumption and high maintenance costs. Therefore, developing an intelligent mosquito trap that can highly simulate the metabolic environment of human skin, possesses intelligent respiratory rhythm control, and adapts to the diurnal activity characteristics of Aedes mosquitoes has become a pressing technical challenge in the field of public health pest control. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent mosquito trapping device and mosquito control method based on skin bionics and carbon dioxide synergistic induction, aiming to solve the problems of poor mosquito trapping effect of mosquito lamps under strong daylight, easy pollution and drug resistance of chemical agents, and high energy consumption of traditional carbon dioxide mosquito traps.

[0005] The technical solution adopted by this invention to solve its technical problem is as follows: On the one hand, the present invention provides an intelligent mosquito trapping device based on skin bionics and carbon dioxide synergistic induction, including: a frame assembly, a bionic induction assembly, a negative pressure trapping assembly and an intelligent control assembly; The rack assembly includes a housing and a flow guide disposed on the top of the housing. The outer wall of the housing is provided with a display screen and operation buttons for human-computer interaction. The biomimetic induction component is used to simulate human characteristics to attract mosquitoes. It includes a carbon dioxide outlet and a sweat box located below the flow guide, and a carbon dioxide cylinder located inside the housing. The bottom of the sweat box is connected to a solenoid valve, which is connected to the carbon dioxide cylinder through a pipeline. The housing is provided with a cylinder replacement and maintenance door at the position corresponding to the carbon dioxide cylinder. The negative pressure trapping assembly includes a mosquito storage drawer that can be detachably installed at the bottom of the housing. The bottom of the mosquito storage drawer is provided with an escape-proof mesh, and a mosquito suction fan for generating suction negative pressure is fixedly connected to the bottom of the mosquito storage drawer. The intelligent control component includes an image recognition module, which is located at the bottom of the carbon dioxide cylinder and directly above the mosquito storage drawer, and is used to collect image information of the capture area.

[0006] In some embodiments, the bottom of both the housing and the mosquito storage drawer connected to the base are hollowed out.

[0007] In some embodiments, the device further includes a temperature control unit, the temperature control unit including a heating element disposed at the bottom of the sweat box for heating the sweat box to a preset temperature; The flow guide contains a temperature sensor for real-time monitoring of the temperature in the induction area, and works in conjunction with the heating element to simulate human body temperature.

[0008] In some embodiments, the device further includes a control system configured with an intelligent bionic breathing control strategy for the solenoid valve, wherein the intelligent bionic breathing control strategy refers to: The solenoid valve adopts an intermittent pulse opening working mode, and its opening and closing cycle frequency is set to simulate the human resting breathing frequency to form a pulsed carbon dioxide airflow. The control system is configured to dynamically adjust the control parameters of the solenoid valve based on the mosquito density data fed back by the image recognition module: when the image recognition module detects an increase in the number of mosquitoes within the field of view, the control system controls the solenoid valve to increase the duration of each opening.

[0009] In some embodiments, the control system further includes a microcontroller disposed inside the housing and an Internet of Things (IoT) communication module electrically connected to the microcontroller; The microcontroller is connected to the temperature control unit, solenoid valve, mosquito-absorbing fan, and image recognition module respectively, and is used to send control commands and receive feedback signals. The microcontroller establishes a wireless communication connection with the cloud monitoring platform through the Internet of Things communication module, and is configured to package and upload the cumulative number of mosquitoes captured by the image recognition module, the current simulated breathing frequency of the solenoid valve, and the real-time temperature parameters detected by the temperature sensor to the cloud monitoring platform for remote data monitoring.

[0010] In some embodiments, the image recognition module is configured with a mosquito target identification and automatic counting algorithm based on deep learning machine vision, the specific processing logic of which is as follows: Background modeling and inter-frame difference calculations are performed on the acquired video stream to remove environmental noise and non-target interference in order to locate the region of interest; Morphological feature analysis is performed on targets within the region to extract features such as the aspect ratio of the outline, limb structure, and Aedes mosquito-specific features. Feature matching is then used to accurately determine whether a target is an Aedes mosquito. Multi-target tracking technology is introduced to assign a unique identifier to each identified and locked Aedes mosquito and track its trajectory. The cumulative number is only counted when the target is inhaled or effectively retained. The deduplicated real-time density data is output and transmitted to the intelligent control component as the basis for dynamically adjusting the pulse frequency and opening duration of the solenoid valve, thereby realizing adaptive targeted capture based on Aedes mosquito density.

[0011] In some embodiments, the flow guide is constructed as an inverted conical curved surface structure, the horizontal projected area of ​​which is larger than the cross-sectional area of ​​the carbon dioxide outlet below; The lower surface of the flow guide forms an airflow guiding surface, configured to diffuse rising carbon dioxide gas and heated and evaporated sweat odor molecules radially outward in the horizontal direction, forming a wide-area induction layer around the top of the shell. The flow guide acts as a negative pressure shield, preventing the central negative pressure zone generated by the mosquito-absorbing fan below from directly affecting the gas release point.

[0012] In some embodiments, the bottle replacement and maintenance door is rotatably connected to the side wall of the housing via two hinges. A flexible sealing strip is embedded in the inner edge of the bottle replacement and maintenance door or its corresponding housing opening. When the bottle replacement and maintenance door is in the closed and locked state, the sealing strip is deformed by pressure to isolate external airflow, so that an airtight chamber is formed inside the housing, ensuring that the negative pressure suction generated by the mosquito-absorbing fan is concentrated on the trapping entrance at the top. The sweat box contains a preset concentration of artificial sweat mimicry, which includes a mixed solution of lactic acid, ammonia, and fatty acids. The heating element of the temperature control unit is configured to continuously heat the sweat box, causing the artificial sweat mimicry to evaporate and generate odor molecules that carry heat. As the odor molecules rise, they merge with carbon dioxide gas in the area below the flow guide, forming a three-dimensional synergistic induction field of odor, temperature, and carbon dioxide under the action of airflow. This field then diffuses outwards through the flow guide to simulate the metabolic environment of the human skin surface.

[0013] In some embodiments, the main body of the sweat box is a multi-layer composite coaxial structure, which includes an inner supporting skeleton, a middle heat diffusion layer and an outer biomimetic skin layer from the inside to the outside. The inner support frame is a metal mesh or a rigid porous cylindrical structure with ventilation holes, and its internal space is connected to the carbon dioxide pipeline, serving as a primary channel for gas release. The middle heating diffusion layer tightly covers the outer periphery of the inner support skeleton. Its material is non-woven cushioning material, and a PI polyimide heating film, which serves as the heating element of the temperature control unit, is embedded inside the layer. It is configured to heat, buffer, and uniformly diffuse the flowing carbon dioxide gas. The outer biomimetic skin layer is a dark elastic fiber fabric wrapped around the surface of the middle heat diffusion layer. The fabric has a micro-mesh structure that mimics human pores and is configured to allow heat and gas buffered by the middle layer to pass through.

[0014] On the other hand, the present invention also provides an intelligent mosquito control method based on skin bionics and carbon dioxide synergistic induction, which is applied to the aforementioned intelligent mosquito trapping device based on skin bionics and carbon dioxide synergistic induction, characterized by including the following steps: After pressing the device button to turn on the power, the main control microcontroller drives the mosquito-absorbing fan to establish a basic negative pressure and controls the heating element to maintain the simulated body temperature of the sweat box to accelerate the evaporation of bionic sweat. At the same time, it instructs the solenoid valve to open intermittently at the resting frequency of the human body to release carbon dioxide in pulses. Carbon dioxide and sweat mix and diffuse in all directions through the diverter to form a biomimetic induction field. When mosquitoes are attracted to the vicinity of the shell, they are sucked into the mosquito-proof netting in the mosquito-storing drawer by the negative pressure fan. When the visual recognition module detects the presence of Aedes mosquitoes in the induction area and confirms it accurately through a deep learning algorithm, it sends a feedback signal to the microcontroller to trigger intelligent closed-loop control. The microcontroller dynamically adjusts the carbon dioxide pulse frequency and temperature control parameters based on the number of mosquitoes to enhance the induction intensity, allowing the mosquitoes to dehydrate and dry under continuous airflow, while automatically uploading the identification and counting results to the cloud platform.

[0015] The beneficial effects of this invention are: by highly replicating the metabolic environment of the human skin surface and achieving intelligent biomimetic respiratory control through visual feedback, this invention significantly improves the accuracy and efficiency of trapping diurnal Aedes mosquitoes. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of an intelligent mosquito trap based on skin bionics and carbon dioxide synergistic induction in Embodiment 1 of the present invention. Figure 2 This is a cross-sectional view of an intelligent mosquito trap based on skin bionics and carbon dioxide synergistic induction in Embodiment 1 of the present invention. Figure 3 This is a schematic diagram of the exploded structure of an intelligent mosquito trap based on skin bionics and carbon dioxide synergistic induction in Embodiment 1 of the present invention. Figure 4 This is a schematic diagram of the flow guide in Embodiment 1 of the present invention; Figure 5 This is a schematic diagram of the sweat box in Embodiment 1 of the present invention; Figure 6 The device in Embodiment 1 of the present invention is shown in a bottom view excluding the bottom camera. Figure 7 This is a schematic diagram of the device in Embodiment 1 of the present invention, showing the removal of the negative pressure fan and the fixed camera. Figure 8 This is a rear view of the device in Embodiment 1 of the present invention; Figure 9 This is a bottom view of the device in Embodiment 1 of the present invention; Figure 10 This is a partial structural diagram of the detachable awning after removal in Embodiment 1 of the present invention; Figure 11 This is a detailed view of the head and flow guide removed in Embodiment 1 of the present invention; Figure 12 This is a detailed view of the head and flow guide removed in Embodiment 1 of the present invention.

[0017] In this diagram, 1 represents the display screen, 2 represents the buttons, 3 represents the housing, 4 represents the mosquito storage drawer, 5 represents the deflector, 6 represents the sweat box, 7 represents the solenoid valve, 8 represents the microcontroller, 9 represents the carbon dioxide cylinder, 10 represents the cylinder replacement and maintenance door, 11 represents the image recognition module, 12 represents the escape-proof screen, 13 represents the mosquito-absorbing fan, 14 represents the support, and 15 represents the detachable awning. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0019] Example 1

[0020] See Figures 1-3 This embodiment provides an intelligent mosquito trapping device based on skin bionics and carbon dioxide synergistic induction, characterized in that it includes: a frame assembly, a bionic induction assembly, a negative pressure trapping assembly, and an intelligent control assembly; The rack assembly includes a housing 3 and a flow guide 5 disposed on the top of the housing 3. The outer wall of the housing 3 is provided with a display screen 1 and operation buttons 2 for human-computer interaction. The biomimetic induction component is used to simulate human characteristics to attract mosquitoes. It includes a carbon dioxide outlet and a sweat box 6 located below the flow guide 5, and a carbon dioxide cylinder 9 located inside the housing 3. The bottom of the sweat box 6 is connected to a solenoid valve 7. The solenoid valve 7 is connected to the carbon dioxide cylinder 9 through a pipeline. The housing 3 is provided with a cylinder replacement and maintenance door 10 at the position corresponding to the carbon dioxide cylinder 9. The negative pressure trapping assembly includes a mosquito storage drawer 4 that can be detachably installed at the bottom of the housing 3. The bottom of the mosquito storage drawer 4 is provided with an escape-proof mesh 12, and a mosquito suction fan 13 for generating suction negative pressure is fixedly connected to the bottom of the mosquito storage drawer 4. The intelligent control component includes an image recognition module 11, which is located at the bottom of the carbon dioxide cylinder 9 and directly above the mosquito storage drawer 4, and is used to collect image information of the capture area.

[0021] In practical applications, the support 14 and detachable awning 15 in this embodiment need to be configured according to the actual installation situation. The bottoms of the housing 3 and the mosquito storage drawer 4 connected to the base are both hollowed out. Furthermore, the outer wall of the housing 3 is provided with a display screen 1 and operation buttons 2 for human-computer interaction. The operation button 2 assembly includes a total of six function buttons 2, namely: 1. An on / off button used to control the power supply circuit of the entire machine. 2. A power off button used to control the on / off state of the entire machine's power circuit. 3. A speed control button for cyclically adjusting the negative pressure intensity of the mosquito-absorbing fan 13. 4. A reset button used to reset the cumulative mosquito capture data counted by the visual recognition module to zero. 5. Timer key for setting the device (2 hours → 4 hours → 8 hours → 12 hours → normally open). 6. A mode key for switching between economic mode and normal mode, used to turn off carbon dioxide and heating elements in economic mode.

[0022] The biomimetic induction component, as the core trapping source in this embodiment, aims to construct a microenvironment that highly replicates the metabolic characteristics of human skin. This component mainly consists of a sweat box 6 containing an artificial sweat mimic, a heating element located at the bottom of the sweat box 6, and a temperature sensor located in the airflow convergence area inside the airflow guide 5. In terms of working principle, this component employs a closed-loop temperature control feedback mechanism: the temperature sensor monitors the air temperature in the induction area below the airflow guide 5 in real time and feeds the data back to the main control microcontroller 8; the main control microcontroller 8 dynamically adjusts the output power of the heating element according to a preset human body temperature threshold, ensuring that the temperature in the induction area is always maintained within a constant range simulating human body temperature.

[0023] It should be noted that the device in this embodiment may also include a temperature control unit, which includes a heating element disposed at the bottom of the sweat box 6 for heating the sweat box 6 to a preset temperature; The flow guide 5 contains a temperature sensor for real-time monitoring of the temperature of the induction area and works in conjunction with the heating element to simulate human body temperature. The heat generated by the heating element has a dual function: First, it drives the phase change and evaporation of sweat: the heat causes the artificial sweat containing lactic acid, ammonia, and fatty acids in the sweat box 6 to evaporate faster, changing from a liquid to a gaseous state and producing volatile molecules carrying human characteristic odors; Second, it promotes the synergistic diffusion of heat and gas: the sweat odor molecules that rise due to heat and the carbon dioxide gas released through the pipes undergo physical mixing and heat exchange below the flow guide 5. As the gas expands and rises due to heat, the mixed gas diffuses horizontally in all directions under the guidance of the flow guide 5.

[0024] See Figures 4-12 In this embodiment, the flow guide 5 is constructed as an inverted conical curved surface structure, and its horizontal projected area is larger than the cross-sectional area of ​​the carbon dioxide outlet below; the lower surface of the flow guide 5 forms an airflow guiding surface, configured to diffuse the rising carbon dioxide gas and the sweat odor molecules evaporated by heat radially outward in the horizontal direction, forming a wide-area induction layer around the top of the housing 3; the flow guide 5 acts as a negative pressure shield, blocking the central negative pressure area generated by the mosquito-absorbing fan 13 below from directly acting on the gas release point.

[0025] Furthermore, the bottle replacement and maintenance door 10 is rotatably connected to the side wall of the housing 3 via two hinges. A flexible sealing strip is embedded in the inner edge of the bottle replacement and maintenance door 10 or its corresponding opening in the housing 3. When the bottle replacement and maintenance door 10 is in the closed and locked state, the sealing strip is deformed by pressure to isolate external airflow, so that an airtight chamber is formed inside the housing 3, ensuring that the negative pressure suction generated by the mosquito-absorbing fan 13 is concentrated on the trapping entrance at the top. The sweat box 6 contains a preset concentration of artificial sweat mimicry, which includes a mixed solution of lactic acid, ammonia, and fatty acids. The heating element of the temperature control unit is configured to continuously heat the sweat box 6, causing the artificial sweat mimicry to evaporate thermally and generate odor molecules that carry heat. As the odor molecules rise, they merge with carbon dioxide gas in the area below the flow guide 5, forming a three-dimensional synergistic composite induction field of odor, temperature, and carbon dioxide under the action of airflow. This field then diffuses outwards through the flow guide 5 to simulate the metabolic environment of the human skin surface.

[0026] To best simulate the structure and texture of human subcutaneous tissue, the main body of the sweat box 6 adopts a multi-layered composite "sandwich" coaxial structure, consisting of a skeleton layer, a heat diffusion layer, and a bionic skin layer from the inside out. The inner skeleton layer uses a support substrate with a large porous structure, and its interior has pre-reserved carbon dioxide ventilation channels, serving to shape and initially guide air. The middle heat diffusion layer covers the outside of the skeleton layer and is made of non-woven fabric, with a PI polyimide heating film evenly embedded inside. This layer acts as a gas buffer medium to evenly disperse carbon dioxide and as a heat source center to provide a constant simulated body temperature of 35℃-37℃. The outermost bionic skin layer is made of high-density nylon fabric tightly wrapped around the surface of the heat diffusion layer. The micro-mesh of this type of fabric simulates the pore structure of human skin, allowing the buffered carbon dioxide and sweat molecules to slowly and evenly permeate out.

[0027] It should be noted that the carbon dioxide release system, as a key module simulating human breathing characteristics in this embodiment, has a physical architecture that includes a carbon dioxide cylinder 9 built into the housing 3, a solenoid valve 7 connected to it, a gas delivery pipeline, and a carbon dioxide outlet located below the flow guide 5. To ensure the system's airtightness and ease of maintenance, a cylinder replacement and maintenance door 10 with a sealing strip is provided on the side wall of the housing 3 corresponding to the cylinder position, creating an independent airtight chamber. In terms of control logic, this system adopts intelligent pulse modulation technology to implement fine-tuning of the solenoid valve 7 through the control system.

[0028] Specifically, in this embodiment, when simulating biomimetic respiratory rhythms, the control system abandons the traditional constant flow rate release mode and instead drives the solenoid valve 7 to perform intermittent opening and closing actions. The opening frequency and closing duration are set to strictly correspond to the human respiratory rate in a resting state, and 12 cycles can be performed per minute, thereby forming a discontinuous, rhythmic pulsed carbon dioxide airflow at the outlet. This airflow pattern can effectively trigger the Aedes mosquito's instinctive response to the host's "live respiration" characteristic.

[0029] It should be noted that the device described in this embodiment also needs to include a control system. The control system is configured with an intelligent bionic breathing control strategy for the solenoid valve 7. The intelligent bionic breathing control strategy means that the solenoid valve 7 adopts an intermittent pulse opening working mode, and its opening and closing cycle frequency is set to simulate the human resting breathing frequency to form a pulsed carbon dioxide airflow. The control system is configured to dynamically adjust the control parameters of the solenoid valve 7 according to the mosquito density data fed back by the image recognition module 11: when the image recognition module 11 detects an increase in the number of mosquitoes in the field of view, the control system controls the solenoid valve 7 to increase the single opening duration.

[0030] Here, the control system also includes a microcontroller 8 disposed inside the housing 3 and an Internet of Things (IoT) communication module electrically connected to the microcontroller 8; the microcontroller 8 is connected to the temperature control unit, the solenoid valve 7, the mosquito-absorbing fan 13 and the image recognition module 11 respectively, and is used to send control commands and receive feedback signals. The microcontroller 8 establishes a wireless communication connection with the cloud monitoring platform through the IoT communication module, and is configured to package and upload the cumulative number of mosquitoes captured by the image recognition module 11, the current simulated breathing frequency of the solenoid valve 7 and the real-time temperature parameters detected by the temperature sensor to the cloud monitoring platform for remote data monitoring.

[0031] In addition, in this embodiment, the image recognition module 11 is equipped with a mosquito target identification and automatic counting algorithm based on deep learning machine vision, and its specific processing logic is as follows: Background modeling and inter-frame difference calculations are performed on the acquired video stream to remove environmental noise and non-target interference in order to locate the region of interest; Morphological feature analysis is performed on targets within the region to extract features such as the aspect ratio of the outline, limb structure, and Aedes mosquito-specific features. Feature matching is then used to accurately determine whether a target is an Aedes mosquito. Multi-target tracking technology is introduced to assign a unique identifier to each identified and locked Aedes mosquito and track its trajectory. The cumulative number is only counted when the target is inhaled or effectively retained. The deduplicated real-time density data is output and transmitted to the intelligent control component as the basis for dynamically adjusting the pulse frequency and opening duration of the solenoid valve 7, thereby realizing adaptive targeted capture based on Aedes mosquito density.

[0032] It should be noted that in this embodiment, the image recognition module 11, as the core of intelligent sensing, is the basis for decision-making to achieve accurate trapping and low-power operation. Physically, this module is installed at the bottom of the carbon dioxide cylinder 9 or on other structural components that can cover the field of view of the trapping channel, with its lens facing the trapping area for real-time image acquisition of mosquito targets entering the trapping range.

[0033] Specifically, the image recognition module 11 integrates a high-sensitivity image sensor and an embedded image processing unit. Its core operation is based on a lightweight deep learning machine vision algorithm, aiming to achieve targeted identification and automatic counting and capture of the target pest, Aedes mosquito. The module first preprocesses the acquired image video stream, using background subtraction or optical flow methods to remove ambient light and shadow interference and background noise from non-target insects, thus locking in the region of interest. Subsequently, the algorithm executes feature matching logic, performing morphological analysis and classification based on the unique biological morphological characteristics of Aedes mosquitoes, accurately distinguishing them from other flying insects. Building on this, the module introduces multi-target identification to deduplicate and count individual Aedes mosquitoes, counting the number of mosquitoes appearing within the capture range in real time. This transforms unstructured image information into digital real-time density data, providing precise quantitative basis for subsequent control.

[0034] In this embodiment, the image recognition module 11, together with the main control microcontroller 8 and the carbon dioxide release system, constitutes an adaptive closed-loop control circuit, realizing dynamic optimization of the trapping strategy. This module transmits the monitored mosquito density data to the microcontroller 8 in real time, and the microcontroller 8 adjusts the control logic accordingly: when an increase in Aedes mosquito density is detected, it automatically instructs the solenoid valve 7 to increase the carbon dioxide pulse frequency and fine-tune the temperature control parameters, implementing "targeted precision strikes"; when there are no targets in the field of view, it switches to a low-power standby mode. Simultaneously, the microcontroller 8 uploads the cumulative number of Aedes mosquitoes captured, peak activity periods, and real-time environmental parameters, confirmed by the algorithm, to the cloud monitoring platform via the IoT communication module. This allows users to not only remotely view the mosquito-catching results but also to understand the diurnal activity patterns of Aedes mosquitoes in the area through big data analysis, providing scientific data support for subsequent mosquito control and extermination measures.

[0035] It should be noted that in this embodiment, the negative pressure trapping component serves as the execution terminal of the device, responsible for physically capturing and killing mosquitoes attracted by the bionic induction component. This component mainly consists of a detachable mosquito storage drawer 4 located at the bottom of the housing 3, an escape-proof mesh 12 set at the bottom of the drawer, and a mosquito suction fan 13 fixedly connected to the bottom of the drawer.

[0036] It should be noted that the display screen 1 in this embodiment is electrically connected to the main control microcontroller 8 and is used to visualize the operating status parameters of the device in real time. Specifically, the main interface of the display screen 1 includes four status display areas: the first line is used to display the real-time temperature value of the sweat box 6 collected by the temperature sensor; the second line is used to display the current open / closed status of the solenoid valve 7 in the carbon dioxide release system; the third line is used to display the on / off status of the heating element in the bionic induction component, indicating whether the heat source is running; and the fourth line is used to display the cumulative number of mosquitoes captured as fed back by the visual recognition module.

[0037] Example 2

[0038] Based on Example 1, this example provides an intelligent mosquito control method based on skin bionics and carbon dioxide synergistic induction, which may include the following steps: S1. After pressing the device button to turn on the power, the main control microcontroller drives the mosquito-absorbing fan to establish a basic negative pressure and controls the heating element to maintain the simulated body temperature of the sweat box to accelerate the evaporation of bionic sweat. At the same time, it instructs the solenoid valve to open intermittently at the resting frequency of the human body to release carbon dioxide in pulses. S2, carbon dioxide and sweat are mixed by the diverter and diffused in all directions to form a biomimetic induction field. When mosquitoes are attracted to the vicinity of the shell, they are sucked into the mosquito-proof netting in the mosquito-storing drawer by the negative pressure fan. S3. When the visual recognition module detects the presence of Aedes mosquitoes in the induction area and confirms it accurately through the deep learning algorithm, it sends a feedback signal to the microcontroller to trigger intelligent closed-loop control. S4. The microcontroller dynamically adjusts the carbon dioxide pulse frequency and temperature control parameters according to the number of mosquitoes to enhance the induction intensity, so that the mosquitoes are dehydrated and dried under the action of continuous airflow, and at the same time automatically uploads the identification and counting results to the cloud platform.

[0039] It should be noted that the application scenario and implementation principle of this embodiment are the same as those of Embodiment 1, so they will not be repeated here.

[0040] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A smart mosquito-catching device based on skin bionics and carbon dioxide synergistic induction, characterized in that, include: Rack assembly, biomimetic induction assembly, negative pressure capture assembly, and intelligent control assembly; The rack assembly includes a housing and a flow guide disposed on the top of the housing. The outer wall of the housing is provided with a display screen and operation buttons for human-computer interaction. The biomimetic induction component is used to simulate human characteristics to attract mosquitoes. It includes a carbon dioxide outlet and a sweat box located below the flow guide, and a carbon dioxide cylinder located inside the housing. The bottom of the sweat box is connected to a solenoid valve, which is connected to the carbon dioxide cylinder through a pipeline. The housing is provided with a cylinder replacement and maintenance door at the position corresponding to the carbon dioxide cylinder. The negative pressure trapping assembly includes a mosquito storage drawer that can be detachably installed at the bottom of the housing. The bottom of the mosquito storage drawer is provided with an escape-proof mesh, and a mosquito suction fan for generating suction negative pressure is fixedly connected to the bottom of the mosquito storage drawer. The intelligent control component includes an image recognition module, which is located at the bottom of the carbon dioxide cylinder and directly above the mosquito storage drawer, and is used to collect image information of the capture area.

2. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction as described in claim 1, characterized in that, The bottom of both the housing and the mosquito storage drawer connected to the base are hollowed out.

3. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction as described in claim 1, characterized in that, The device also includes a temperature control unit, which includes a heating element disposed at the bottom of the sweat box for heating the sweat box to a preset temperature; The flow guide contains a temperature sensor for real-time monitoring of the temperature in the induction area, and works in conjunction with the heating element to simulate human body temperature.

4. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction as described in claim 1, characterized in that, The device also includes a control system, which is configured with an intelligent bionic breathing control strategy for the solenoid valve. The intelligent bionic breathing control strategy refers to: The solenoid valve adopts an intermittent pulse opening working mode, and its opening and closing cycle frequency is set to simulate the human resting breathing frequency to form a pulsed carbon dioxide airflow. The control system is configured to dynamically adjust the control parameters of the solenoid valve based on the mosquito density data fed back by the image recognition module: when the image recognition module detects an increase in the number of mosquitoes within the field of view, the control system controls the solenoid valve to increase the duration of each opening.

5. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction according to claim 4, characterized in that, The control system also includes a microcontroller disposed inside the housing and an Internet of Things (IoT) communication module electrically connected to the microcontroller; The microcontroller is connected to the temperature control unit, solenoid valve, mosquito-absorbing fan, and image recognition module respectively, and is used to send control commands and receive feedback signals. The microcontroller establishes a wireless communication connection with the cloud monitoring platform through the Internet of Things communication module, and is configured to package and upload the cumulative number of mosquitoes captured by the image recognition module, the current simulated breathing frequency of the solenoid valve, and the real-time temperature parameters detected by the temperature sensor to the cloud monitoring platform for remote data monitoring.

6. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction according to claim 4, characterized in that, The image recognition module is equipped with a mosquito target identification and automatic counting algorithm based on deep learning machine vision. Its specific processing logic is as follows: Background modeling and inter-frame difference calculations are performed on the acquired video stream to remove environmental noise and non-target interference in order to locate the region of interest; Morphological feature analysis is performed on targets within the region to extract features such as the aspect ratio of the outline, limb structure, and Aedes mosquito-specific features. Feature matching is then used to accurately determine whether a target is an Aedes mosquito. Multi-target tracking technology is introduced to assign a unique identifier to each identified and locked Aedes mosquito and track its trajectory. The cumulative number is only counted when the target is inhaled or effectively retained. The deduplicated real-time density data is output and transmitted to the intelligent control component as the basis for dynamically adjusting the pulse frequency and opening duration of the solenoid valve, thereby realizing adaptive targeted capture based on Aedes mosquito density.

7. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction according to claim 1, characterized in that, The flow guide is constructed as an inverted conical curved surface structure, and its horizontal projected area is larger than the cross-sectional area of ​​the carbon dioxide outlet below. The lower surface of the flow guide forms an airflow guiding surface, configured to diffuse rising carbon dioxide gas and heated and evaporated sweat odor molecules radially outward in the horizontal direction, forming a wide-area induction layer around the top of the shell. The flow guide acts as a negative pressure shield, preventing the central negative pressure zone generated by the mosquito-absorbing fan below from directly affecting the gas release point.

8. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction according to claim 1, characterized in that, The bottle replacement and maintenance door is rotatably connected to the side wall of the housing via two hinges. A flexible sealing strip is embedded in the inner edge of the bottle replacement and maintenance door or its corresponding housing opening. When the bottle replacement and maintenance door is in the closed and locked state, the sealing strip is deformed by pressure to isolate external airflow, so that an airtight chamber is formed inside the housing, ensuring that the negative pressure suction generated by the mosquito-absorbing fan is concentrated on the trapping entrance at the top. The sweat box contains a preset concentration of artificial sweat mimicry, which includes a mixed solution of lactic acid, ammonia, and fatty acids. The heating element of the temperature control unit is configured to continuously heat the sweat box, causing the artificial sweat mimicry to evaporate and generate odor molecules that carry heat. As the odor molecules rise, they merge with carbon dioxide gas in the area below the flow guide, forming a three-dimensional synergistic induction field of odor, temperature, and carbon dioxide under the action of airflow. This field then diffuses outwards through the flow guide to simulate the metabolic environment of the human skin surface.

9. The intelligent mosquito-catching device based on skin bionics and carbon dioxide synergistic induction according to claim 8, characterized in that, The main structure of the sweat box is a multi-layer composite coaxial structure, which includes, from the inside out, an inner supporting skeleton, a middle heat diffusion layer and an outer biomimetic skin layer. The inner support frame is a metal mesh or a rigid porous cylindrical structure with ventilation holes, and its internal space is connected to the carbon dioxide pipeline, serving as a primary channel for gas release. The middle heating diffusion layer tightly covers the outer periphery of the inner support skeleton. Its material is non-woven cushioning material, and a PI polyimide heating film, which serves as the heating element of the temperature control unit, is embedded inside the layer. It is configured to heat, buffer, and uniformly diffuse the flowing carbon dioxide gas. The outer biomimetic skin layer is a dark elastic fiber fabric wrapped around the surface of the middle heat diffusion layer. The fabric has a micro-mesh structure that mimics human pores and is configured to allow heat and gas buffered by the middle layer to pass through.

10. A smart mosquito-catching control method based on skin bionics and carbon dioxide synergistic induction, applied to a smart mosquito-catching device based on skin bionics and carbon dioxide synergistic induction as described in any one of claims 1-9, characterized in that... Includes the following steps: After pressing the device button to turn on the power, the main control microcontroller drives the mosquito-absorbing fan to establish a basic negative pressure and controls the heating element to maintain the simulated body temperature of the sweat box to accelerate the evaporation of bionic sweat. At the same time, it instructs the solenoid valve to open intermittently at the resting frequency of the human body to release carbon dioxide in pulses. Carbon dioxide and sweat mix and diffuse in all directions through the diverter to form a biomimetic induction field. When mosquitoes are attracted to the vicinity of the shell, they are sucked into the mosquito-proof netting in the mosquito-storing drawer by the negative pressure fan. When the visual recognition module detects the presence of Aedes mosquitoes in the induction area and confirms it accurately through a deep learning algorithm, it sends a feedback signal to the microcontroller to trigger intelligent closed-loop control. The microcontroller dynamically adjusts the carbon dioxide pulse frequency and temperature control parameters based on the number of mosquitoes to enhance the induction intensity, allowing the mosquitoes to dehydrate and dry under continuous airflow, while automatically uploading the identification and counting results to the cloud platform.

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