Six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air co2 enrichment

Abstract

The application belongs to the technical field of microorganism prevention and treatment, and specifically discloses a six-source synergistic trapping and intelligent wind-sucking mosquito trapping method based on air CO2 enrichment, which comprises the following steps: diffusing constant-flow carbon dioxide gas and micro-fine water mist outside the near field of a device to construct an initial carbon dioxide concentration gradient field and a local high-humidity physical environment; in the local high-humidity physical environment, a constant Boltzmann thermal radiation convection feedback simulation cavity, a cross-frequency band photon radiation and environmental illumination dynamic folding array and a phase change pressure difference self-adaptive molecular induction flow generator are activated in sequence to complete the establishment of a five-dimensional space coupling induction field; and the application aims to solve the problems that the existing trapping equipment is interfered and mismatched by multiple physical fields, lacks aerodynamic directional interception capability for mosquito escape vectors, and is insufficient in environmental adaptive adjustment and underlying fault tolerance mechanism, thereby resulting in limited capture rate, easily invalidation of induction proportioning and insufficient operation safety under complex working conditions.

Description

Technical Field

[0001] This invention relates to the technical field of microbial control, specifically to a six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment. Background Technology

[0002] In the current field of mosquito trapping, most mosquito control devices rely on a single induction source or a conventional combination of physicochemical sources. Due to the lack of spatiotemporal coupling control of spatial flow fields, thermal fields, and chemical concentration gradient fields, it is difficult to form a stable multidimensional induction field, resulting in limited basic trapping efficiency. Simultaneously, existing devices suffer from physical interference between airflow negative pressure control and attractant volatilization. When the fan operates at high speed and generates suction negative pressure, the local static pressure at the air inlet decreases, causing the boiling point of the liquid chemical attractant to drop, leading to abnormal vaporization and component fractionation. This disrupts the preset concentration ratio of the attractant, reducing the chemical induction effect. Furthermore, traditional traps have shortcomings in aerodynamic control; their forced convection for downward suction is difficult to achieve. To overcome the natural convection caused by the upward thermal buoyancy generated on the surface of the central heating element, a stagnation point in the flow field is easily formed around the air inlet. In addition, the escape kinetic energy of mosquitoes in high temperature and low humidity environments is not considered, and there is a lack of photoelectric sensing of insect movement vectors and directional fluid boundary layer offset interception capabilities, which causes some mosquitoes that are induced to approach to escape against the current at the edge of the suction force. Existing equipment also has difficulty in adaptively adjusting the power of the light source array to overcome the optical masking effect when faced with strong background natural light interference, which poses the risk of energy waste and heat accumulation. Furthermore, in the external environment, the main control program may freeze or leak electricity due to device overturning or communication failure of a single environmental sensor, which restricts the reliable deployment of intelligent mosquito trapping equipment under complex working conditions. Summary of the Invention

[0003] This invention provides a six-source synergistic trapping and intelligent wind suction mosquito trapping method based on air CO2 enrichment. The aim is to solve the problems of existing trapping equipment, such as limited capture rate, easy failure of induction ratio, and insufficient operational safety under complex working conditions, due to the mismatch of multi-physics field interference, lack of aerodynamic directional interception capability against mosquito escape vector, and insufficient environmental adaptive adjustment and underlying fault tolerance mechanism.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment includes: constructing an initial carbon dioxide concentration gradient field and a local high-humidity physical environment by diffusing a constant flow rate of carbon dioxide gas and fine water mist in the near-field periphery of the device; in the local high-humidity physical environment, sequentially activating a constant Boltzmann thermal radiation convection feedback simulation cavity, a cross-band photon radiation and ambient illuminance dynamic folding array, and a phase change pressure difference adaptive molecular attracted manifold generator to establish a five-dimensional spatial coupling induced field; and using a photonic matrix transient vector flight sensing array to monitor the five-dimensional space in real time. The mosquito penetration signal within the coupled induction field is used to extract time interval data and calculate the radial absolute flight speed and tangential escape deflection angle of the mosquitoes crossing specific physical detection sectors. When the effective frequency of mosquito penetration exceeds a set threshold, the target absolute yaw angle command for the corresponding sector is generated based on the calculated radial absolute flight speed and tangential escape deflection angle of the mosquitoes. This drives the rotatable guide vane array to generate asymmetric fluid boundary layer deflection and increases the rotation speed of the adaptive fan module to enhance the capture speed. The center of the local maximum negative pressure gradient is shifted to the mosquito escape path for vector airflow directional interception and capture.

[0005] In one aspect of the invention, during the process of activating the phase change pressure difference adaptive molecular-induced manifold generator for vaporization release, closed-loop compensation between phase change vaporization and dynamic aerostatic pressure is performed, specifically as follows: The current actual mechanical speed of the adaptive fan module is obtained, and the dynamic negative pressure drop value of the air inlet is calculated by combining the preset aerodynamic flow field static pressure drop conversion coefficient. Collect the absolute value of the local environmental standard atmospheric pressure, subtract the dynamic negative pressure drop value from it, and inversely calculate the critical phase transition temperature required for the attractant to reach the target saturated vapor pressure in the current low-pressure gas phase environment; The critical phase transition temperature is used as the target absolute heating temperature control setting value, and the heating power of the flexible polyimide electrothermal film wrapped around the outer wall of the liquid storage tank in the phase transition pressure difference adaptive molecularly attracted manifold generator is dynamically adjusted.

[0006] In one aspect of the invention, after the five-dimensional spatial coupling induced field is established, a critical Reynolds number breakthrough determination for thermal buoyancy lift and negative pressure suction force is performed, specifically as follows: Real-time acquisition of transient ambient temperature values ​​of the near-field atmosphere, combined with the surface temperature of the heating element in the constant Boltzmann thermal radiation convection feedback simulation cavity, allows for the calculation of the dimensionless Grashof number, which characterizes the intensity of natural convection. Extract the current rotational speed data of the adaptive fan module and calculate the dimensionless Reynolds number, which characterizes the intensity of forced convection in the inlet flow field. The ratio of the dimensionless Grashof number to the square of the dimensionless Reynolds number is calculated. When the ratio is determined to be greater than the set threshold for the critical safety red line of forced convection, an escape prevention boundary layer reconstruction command is generated. In response to the escape prevention boundary layer reconstruction command, a step current command is directly issued to force the rotational speed of the adaptive fan module to increase, thereby forcing the ratio to fall back to a safe range by increasing the downward airflow velocity at the air inlet.

[0007] In one aspect of the present invention, the process of calculating the radial absolute flight velocity and tangential escape deflection angle of a mosquito traversing a specific physical detection sector, and generating a target absolute yaw angle command, specifically includes: Record the time interval between the mosquito continuously cutting through the upper and lower annular infrared light curtains, divide the vertical constant physical mechanical distance between the light curtains by the time interval, and output the absolute radial flight speed of the mosquito. Extract the pulse response phase difference of adjacent receiving points around the physical detection sector, and use trigonometric functions to calculate the tangential escape deflection angle of the mosquito relative to the geometric center axis of the air inlet; Based on the basic spatial convection yaw angle derived from the spatial mosquito density, and combined with the extracted absolute radial flight speed of mosquitoes, the sine value of the tangential escape deflection angle, the average absolute axial airflow velocity at the outlet at the current rotation speed, and the aerodynamic geometric flow compression ratio constant of the fairing, the compensation deflection angle required for active interception is calculated. The base spatial convection yaw angle and the compensated yaw angle are added together to generate the target absolute yaw angle command that is finally sent to the miniature brushless DC servo motor.

[0008] In one aspect of the present invention, in the active trapping state where vector airflow directional interception is not triggered, dynamic adaptive fan speed control based on multi-dimensional physical parameters is performed, specifically as follows: The absolute frequency of spatial mosquito density output by the photonic matrix transient vector flight sensing array, the absolute ambient temperature, relative humidity and carbon dioxide concentration collected by the sensor, and the above four physical parameters are used as input variables of the fuzzy logic controller. The fuzzy logic inference matrix is ​​invoked to perform nonlinear aggregation and defuzzification integral algebraic solution on the input variables, and the basic speed output ratio of the adaptive wind turbine module is output. The difference between the ambient absolute temperature and relative humidity and the standard reference thermodynamic temperature constant and standard reference relative humidity constant set by the system is extracted. The difference is then used in combination with the preset temperature compensation bias coefficient and humidity compensation bias coefficient to perform secondary physical environment compensation correction on the basic speed output ratio, output the target absolute speed command of the fan and drive the centrifugal fan to run.

[0009] In one aspect of the invention, during the activation of the cross-band photon radiation and ambient illuminance dynamic folding array, adaptive negative feedback closed-loop control is performed to suppress the optical masking effect, specifically: The ambient absolute illuminance value in the near field is collected in real time and compared with the set upper limit illuminance threshold for absolute failure of light masking effect to obtain a quotient. By combining the quotient result with the gamma index, which characterizes the nonlinear decay of brightness perception, the amount of light intensity attenuation that should be implemented is calculated. The light intensity attenuation is subtracted from the full-power operating duty cycle to generate a dynamic duty cycle command for driving the cross-band photon radiation and ambient illuminance dynamic folding array, and the output power of the drive array is adaptively folded downward when the ambient background light is enhanced.

[0010] In one aspect of the present invention, the process of constructing the initial carbon dioxide concentration gradient field is performed by the carbon dioxide flexible enrichment and low-pressure steady-flow diffusion module, specifically as follows: The high-pressure gas output from the high-pressure carbon dioxide storage tank is mechanically reduced in two stages through a high-pressure reducing valve and a low-pressure reducing valve, and a low-pressure gas flow that meets the static pressure of the working pipeline is output. Simultaneously, a micro-precision peristaltic pump is started to pump reaction water into the sealed solid-liquid chemical gas-generating agent chamber to trigger in-situ chemical gas generation. When the transient gas pressure of the generated gas is greater than the set opening pressure threshold and higher than the instantaneous static pressure of the current low-pressure pipeline, the one-way check valve is opened to inject the in-situ generated carbon dioxide gas into the low-pressure gas flow to replenish the gas source. After the replenished mixed carbon dioxide gas flow is controlled by a micro proportional needle valve, it is uniformly released outward and downward through a laser micro-pore diffusion array, forming the initial carbon dioxide concentration gradient field.

[0011] In one aspect of the invention, after the vector airflow is directionally intercepted and captured, physical energy consumption folding is performed to smoothly transition into the energy-saving maintenance phase, specifically as follows: After a preset enhancement time for directional interception and capture of vector airflow, the photonic matrix transient vector flight sensing array is re-monitored; When no valid mosquito penetration pulse signal is detected within a continuously set time window, a dormancy frequency reduction command is generated; In response to the hibernation frequency reduction command, the speed of the adaptive fan module is forcibly reduced to the basic maintenance speed, the output carbon dioxide flow is compressed synchronously, and the closed-loop target control temperature of the heating element and the phase change liquid storage tank is uniformly reduced by the specified folding difference, so that the system enters a physically low power consumption operation state.

[0012] In one aspect of the invention, hardware-level physical power-off protection based on six-axis attitude calculation is executed in parallel throughout the entire cycle of the method operation, specifically as follows: Real-time acquisition of gravity component data from the three-axis accelerometer output by the embedded six-axis attitude inertial measurement unit; The gravity component data is processed using a filtering algorithm to calculate the transient Euler angles of the device in physical space, and then the absolute spatial tilt angle of the central axis deviating from the absolute gravity plumb line is obtained. When the monitoring determines that the absolute tilt angle of the space exceeds the set anti-overturning physical safety red line threshold, the highest priority non-maskable interrupt is triggered and a physical blocking command is generated. In response to the physical blocking command, the main relay coil level connected to all core trapping sources and the high-voltage physical shock collection cavity is directly pulled low within a nanosecond period, forcibly cutting off the underlying physical power supply.

[0013] In one aspect of the invention, a deadlock-prevention adaptive state machine physical degradation fault-tolerance mechanism is configured during the operation of the method, specifically as follows: Real-time monitoring of the response level status of the photonic matrix transient vector flight sensing array on the communication bus; When the response time exceeds the set crash judgment threshold, a hardware physical fault degradation instruction is generated, and all closed-loop calculation processes for extracting the radial absolute flight speed variable of the mosquito are forcibly terminated. Based on the aforementioned hardware physical fault degradation instruction, the system is forced to revert from a dynamic response state machine based on multidimensional parameters to a static polling state machine. Under the control of the static polling state machine, external environmental sensor feedback is shielded, and the adaptive fan module is driven to start the enhanced capture speed at fixed periodic time intervals to perform open-loop forced suction and trapping operations.

[0014] Compared with the prior art, the present invention has the following beneficial effects: This invention overcomes the limitations of traditional trapping devices that rely on single-environment simulation by constructing a five-dimensional spatially coupled induction field that integrates a high humidity field, a carbon dioxide concentration field, a thermal radiation field, a cross-band optical radiation field, and a phase transition-induced manifold field, thereby enhancing the biological attractiveness to mosquitoes. Furthermore, this scheme introduces a photonic matrix-type transient vector flight sensing array and a vector airflow directional interception mechanism, improving upon the technical shortcomings of traditional omnidirectional suction modes where mosquitoes easily escape from the negative pressure edge of the airflow through countercurrent flow. Once the sensing array detects the mosquito's penetration signal and calculates its radial flight velocity and tangential escape deflection angle, the system drives a rotating guide vane array to generate an asymmetric fluid boundary layer deflection. Simultaneously, in conjunction with increasing the fan speed, the center of the local maximum negative pressure gradient is shifted to the predicted physical escape trajectory of the mosquito. This control method, which shifts from passive omnidirectional suction to active kinematic vector interception, overcomes the interference of the upward thermal buoyancy generated by the central heating element on the downward suction flow field. It utilizes aerodynamic negative pressure to suppress the escape kinetic energy of mosquitoes in a disturbed state, thereby achieving directional capture of flying targets within the induction area. While reducing some ineffective aerodynamic power consumption, it improves the actual mosquito capture rate in complex environments. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 This is a flowchart of a six-source synergistic trapping and intelligent wind suction mosquito trapping method based on air CO2 enrichment according to the present invention.

[0017] Figure 2 This is a flowchart of step 1 in the present invention, which is a six-source synergistic trapping and intelligent wind suction mosquito trapping method based on air CO2 enrichment.

[0018] Figure 3 This is a flowchart illustrating step 2 of a six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment according to the present invention.

[0019] Figure 4 This is a flowchart illustrating step 3 of a six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment according to the present invention.

[0020] Figure 5 This is a flowchart of step 4 in the present invention, which is a six-source synergistic trapping and intelligent wind suction mosquito trapping method based on air CO2 enrichment.

[0021] Figure 6 This is a flowchart of step 5 in the present invention, which is a six-source synergistic trapping and intelligent wind suction mosquito trapping method based on air CO2 enrichment.

[0022] Figure 7 This is a flowchart illustrating step 6 of a six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment according to the present invention.

[0023] Figure 8 This is a flowchart of step 7 in the present invention, which is a six-source synergistic trapping and intelligent wind suction mosquito trapping method based on air CO2 enrichment. Detailed Implementation

[0024] The present invention will be further described below with reference to embodiments. These embodiments are merely some, not all, of the embodiments of the present invention. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are all within the protection scope of the present invention.

[0025] Please see Figure 1 As shown, this embodiment discloses a six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment, wherein the method specifically includes: S1. An initial carbon dioxide concentration gradient field and a local high-humidity physical environment are constructed by diffusing a constant flow of carbon dioxide gas and fine water mist in the near-field periphery of the device. S2. In the local high humidity physical environment, the constant Boltzmann thermal radiation convection feedback simulation cavity, the cross-band photon radiation and ambient illuminance dynamic folding array, and the phase change pressure difference adaptive molecular attracted manifold generator are activated in sequence to complete the establishment of the five-dimensional spatial coupling induced field. S3. The mosquito penetration signal in the five-dimensional spatial coupling induced field is monitored in real time using a photonic matrix transient vector flight sensing array. The time interval data is extracted and the radial absolute flight speed and tangential escape deflection angle of the mosquitoes crossing the specific physical detection sector are calculated. S4. When the effective frequency of mosquito penetration exceeds the set threshold, the target absolute yaw angle command for the corresponding sector is generated based on the calculated radial absolute flight speed and tangential escape deflection angle of the mosquito. This drives the rotatable guide vane array to generate asymmetric fluid boundary layer deflection and increases the rotation speed of the adaptive fan module to enhance the capture speed. The center of the local maximum negative pressure gradient is shifted to the escape path of the mosquito for vector airflow directional interception and capture.

[0026] In this embodiment, it should be noted that in S1, to address the uneven gas and humidity distribution in the initial stage of trapping, a dual-path parallel gas supply and high-frequency atomization are used. Specifically, a high-pressure gas tank and a chemical gas generator are used to output stable carbon dioxide gas in parallel, which is combined with a piezoelectric ultrasonic transducer to generate fine water droplets, forming a stable concentration and humidity distribution in the external space. In S2, to address the low efficiency of a single trapping source, a multi-physics field superposition process is used. Specifically, temperature radiation, specific spectra, and volatile odor substances are simultaneously activated to form multi-dimensional physical signal stimulation. In S3, to address the difficulty in accurately locating small targets, a light curtain frequency cutoff and phase difference detection process is used. Specifically, a two-layer laser beam system is used to record the time difference of obstruction and the response difference between adjacent receiving points to calculate the specific location and kinematic vector of the mosquito. In S4, to address the problem that simply increasing the overall air volume cannot effectively intercept escaping mosquitoes, a vector airflow offset and dynamic local pressurization process is used. Specifically, the guide vanes in the corresponding directions are driven to rotate to change the local wind pressure distribution, while the motor speed is increased to direct the strong wind area toward the expected escape route of mosquitoes for directional aerodynamic adsorption.

[0027] like Figure 2 As shown, in one specific embodiment, S1 includes: S11. The high-pressure gas output from the high-pressure carbon dioxide storage tank is mechanically reduced in two stages through a high-pressure reducing valve and a low-pressure reducing valve in sequence, and a low-pressure gas flow that meets the static pressure of the working pipeline is output. S12. Simultaneously start the micro precision peristaltic pump to pump reaction water into the sealed solid-liquid chemical gas generating agent chamber to trigger in-situ chemical gas generation. When the transient gas pressure of the generated gas is greater than the set opening pressure threshold and higher than the instantaneous static pressure of the current low-pressure pipeline, open the one-way check valve to inject the in-situ generated carbon dioxide gas into the low-pressure gas flow to replenish the gas source. S13. After the replenished mixed carbon dioxide gas flow is controlled by a micro proportional needle valve, it is uniformly released outward and downward through a laser micro-hole diffusion array to form the initial carbon dioxide concentration gradient field.

[0028] In this embodiment, it should be noted that, for S11, due to the large pressure fluctuations directly output from the high-pressure gas tank, the system uses a two-stage pressure reducing valve to progressively reduce the pressure and ensure stable output. In S12, the system utilizes the mechanical structure of a one-way check valve as a physical switch in the bottom-level fluid control loop to prevent backflow from the high-pressure end to the atmospheric pressure end. In S13, the miniature proportional needle valve ensures stable flow rate, and the laser micro-orifice structure ensures spatial uniformity of gas release.

[0029] In some optional embodiments, regarding step S1, it is assumed that the initial pressure of the high-pressure gas storage tank is 10 MPa, which is reduced to 1.0 MPa by a high-pressure reducing valve, and then further reduced to 0.1 MPa by a low-pressure reducing valve. Simultaneously, a micro-precision peristaltic pump injects water at a constant rate, gradually increasing the gas pressure inside the tank. Calculations show that when the gas pressure inside the tank reaches 0.16 MPa, the one-way check valve is opened, and the mixed gas is discharged at a set flow rate of 20 ml / min.

[0030] The set start-up pressure threshold is obtained based on a limited number of historical calibration data. Specifically, multiple sets of experimental tests are conducted on the gas production rate of the solid-liquid chemical reaction under different temperature environments; the minimum start-up pressure required for the gas to overcome the hydrostatic pressure in the pipeline is recorded using a pressure sensor; for example, 50 tests are conducted under the conditions of an ambient temperature of 25°C and an external pipeline static pressure of 0.1 MPa. The average value of the minimum pressure boundary that ensures no backflow occurs is calculated and then a 20% engineering margin is added, thereby calibrating the above values ​​to the corresponding 0.06 MPa.

[0031] like Figure 3 As shown, in one specific embodiment, S2 includes: S21. In the local high humidity physical environment, the constant Boltzmann thermal radiation convection feedback simulation cavity, the cross-band photon radiation and ambient illuminance dynamic folding array and the phase change pressure difference adaptive molecular manifold generator are activated sequentially. S22. Obtain the current actual mechanical speed of the adaptive fan module, and calculate the dynamic negative pressure drop value of the air inlet by combining the preset aerodynamic flow field static pressure drop conversion coefficient. S23. Collect the absolute value of the local environmental standard atmospheric pressure, subtract the dynamic negative pressure drop value from it, and inversely calculate the critical phase transition temperature required for the attractant to reach the target saturated vapor pressure in the current low-pressure gas phase environment. S24. Using the critical phase transition temperature as the target absolute heating temperature control setting value, dynamically adjust the heating power of the flexible polyimide electrothermal film wrapped around the outer wall of the liquid storage tank in the phase transition pressure difference adaptive molecular attraction manifold generator. S25. Real-time polling and acquisition of near-field ambient absolute illuminance values, and comparison of the ambient absolute illuminance values ​​with the set upper limit illuminance threshold for absolute failure of light masking effect. Combined with the gamma index, which characterizes the nonlinear attenuation of brightness perception, the amount of light intensity attenuation to be executed is calculated. The amount of light intensity attenuation is subtracted from the full-power duty cycle to generate a dynamic duty cycle command for driving the cross-band photon radiation and ambient illuminance dynamic folding array. When the ambient background light is enhanced, the output power of the drive array is adaptively folded downward.

[0032] In this embodiment, it should be noted that, in S22, the system uses the fan speed to equivalently assess the degree of air pressure drop inside the air inlet due to the increased flow velocity. In S23, the system calculates the actual environmental pressure based on the difference between the local atmospheric pressure and the local negative pressure, and uses thermodynamic laws to inversely deduce the compensation temperature required for the evaporation of the chemical inducer. In S24, the system sends the calculated temperature value to the underlying controller of the heating element, directly changing the heat input. In S25, the system monitors the intensity of natural light in the external environment, and reduces the power input of artificial light sources through comparative calculations, avoiding ineffective light energy loss.

[0033] In some optional embodiments, regarding step S2, assuming the microcontroller obtains a fan speed of 4000 RPM and a local atmospheric pressure of 101325 Pa, the system calculates the dynamic negative pressure at the throat, and then calculates the boiling point reduction of the liquid attractant under the current low pressure. Subsequently, the target temperature of the heating film is automatically lowered from 50°C to 45°C. Simultaneously, when the ambient light intensity reaches 80 Lux, the system calculates that the output power should be attenuated by 30%, and then adjusts the duty cycle of the PWM signal to 70%.

[0034] In step S23 above, the inverse calculation of the critical phase transition temperature is specifically achieved through the following formula:

[0035] In the formula, This indicates the critical phase transition temperature, which is also the target absolute heating temperature control setpoint, in °C. This represents the dimensionless first Antoine constant specific to the attractant. This represents the dimensionless second Antoine constant specific to the attractant. This represents the dimensionless third Antoine constant specific to the attractant. This represents the absolute value of the local environmental standard atmospheric pressure, expressed in Pa. This represents the preset static pressure drop conversion coefficient for the aerodynamic flow field. This indicates the current actual mechanical speed of the adaptive fan module, in RPM. This represents a common logarithmic function with base 10. The preset aerodynamic static pressure drop conversion coefficient is obtained based on a finite number of historical calibration data. Specifically, by installing the fan in a standard wind tunnel test platform, a test point is set every 100 RPM within the speed range of 500 RPM to 5000 RPM; the static pressure value at the inlet throat is recorded using a high-frequency Pitot tube and a differential pressure transmitter; for example, the static pressure drop value corresponding to each speed is collected under standard atmospheric pressure, and the square of the speed is linearly fitted to the static pressure drop value using the least squares method. The slope of the fitted line is extracted, and the above values ​​are then calibrated to the corresponding 1.45 x 10⁻⁶.-5 .

[0036] In step S25 above, the dynamic duty cycle command is specifically generated using the following formula:

[0037] In the formula, This indicates the value of the generated dynamic duty cycle instruction, expressed as a percentage. This represents the absolute illuminance value of the environment, measured in Lux. This represents the upper limit of the illuminance threshold for the absolute failure of the light masking effect, expressed in Lux. The gamma index, which represents the nonlinear decay characteristic of perceived brightness, is 0.45. This indicates the maximum light intensity attenuation coefficient set by the system, with a value of 60%.

[0038] The maximum light intensity attenuation coefficient set by the system for formula calculation is obtained based on a limited number of historical calibration data. Specifically, the duty cycle output of the light-emitting array is dynamically adjusted in simulated environments with different background illuminance; the biological contrast maintenance of the effective induced light spot in the near field of the mosquito trap is tested using a miniature illuminometer and photomultiplier tube; for example, under extreme masking conditions where the ambient natural light reaches 100 Lux, the duty cycle is gradually folded down in 5% steps, and the critical effective light intensity input required to maintain the minimum phototaxis within the sensitive spectrum of the mosquito compound eye is statistically analyzed. The maximum safe power deduction ratio that does not cause a jump in the physical trapping rate is obtained through 15 sets of parallel control experiments, and the above values ​​are respectively calibrated to 60%.

[0039] The absolute failure limit of the light masking effect at the illuminance threshold was obtained based on a limited number of historical calibration data. Specifically, a certain number of experimental mosquitoes were released in natural environments with different light intensities; cameras and infrared sensors were used to count the number of mosquitoes flying towards a specific wavelength light source under different ambient illuminance levels; for example, a stepped test was conducted within an illuminance range of 0 Lux to 500 Lux, and it was found that after the ambient illuminance exceeded 100 Lux, further increasing the light source power could not improve the trapping rate. Therefore, the above values ​​were respectively calibrated as 100 Lux.

[0040] like Figure 4 As shown, in one specific embodiment, S3 includes: S31. Record the time interval between the mosquito continuously cutting the upper and lower annular infrared light curtains, divide the vertical constant physical mechanical distance between the light curtains by the time interval, and output the absolute radial flight speed of the mosquito. S32. Extract the pulse response phase difference of adjacent receiving points around the physical detection sector, and use trigonometric functions to calculate the tangential escape deflection angle of the mosquito relative to the geometric center axis of the air inlet. S33. Real-time acquisition of transient ambient temperature values ​​of the near-field atmosphere, combined with the surface temperature of the heating element of the constant Boltzmann thermal radiation convection feedback simulation cavity, to calculate the dimensionless Grashof number characterizing the intensity of natural convection. S34. Extract the current rotational speed data of the adaptive fan module and calculate the dimensionless Reynolds number, which characterizes the intensity of forced convection in the air inlet flow field. S35. Find the ratio of the dimensionless Grashof number to the square of the dimensionless Reynolds number.

[0041] Specifically, in steps S33 to S35 above, the process of solving the ratio is based on the following dimensionless combined physical model: defining the dimensionless Grashof number. The dimensionless Reynolds number The ratio is then... ;In the formula, This represents the final ratio obtained. Represents the gravitational acceleration constant; This represents the constant representing the coefficient of volume expansion of air; This indicates the surface temperature of the heating element, expressed in °C. This represents the transient ambient temperature value, in °C. This indicates the geometric diameter of the air inlet, in meters (m). This represents the average axial linear velocity of the adaptive fan module at its current rotational speed, in m / s. This combined formula directly eliminates the unmeasurable kinematic viscosity variable. This reduces computing power costs.

[0042] In this embodiment, it should be noted that, for S31, since the physical distance between the upper and lower light curtains is predetermined and known, the system only needs to record the time difference between the two occlusion signal triggers to calculate the vertical movement speed. In S32, the system calculates the tangential angle of the mosquito on the horizontal plane based on the order and geometric distribution of the sensors triggered on the ring array. In S33 and S34, the system acquires physical parameters representing the upward force of hot air and the downward pressure of the fan, respectively. In S35, these two parameters are compared to quantify the comparative relationship of the vertical forces in the current airflow field.

[0043] In some optional embodiments, regarding step S3, assuming the distance between the two light curtains is 0.05m, the system records a time difference of 0.02s when a mosquito cuts through the two light curtains, and calculates its flight speed to be 2.5m / s. Simultaneously, the system collects data showing an ambient temperature of 28℃, a heating element temperature of 38℃, and a fan speed of 1500RPM. The system calculates the Grashof number and Reynolds number, and obtains a correlation ratio of 0.18 between the two.

[0044] In step S31 above, the absolute radial flight speed of the mosquito is specifically output using the following formula:

[0045] In the formula, This represents the absolute radial flight speed of mosquitoes, measured in m / s. This represents the constant vertical physical mechanical distance between light curtains, measured in meters (m). This represents the time interval between the continuous interruption of the upper and lower annular infrared light curtains by mosquitoes, measured in seconds.

[0046] like Figure 5 As shown, in one specific embodiment, S4 includes: S41. When it is determined that the ratio of the dimensionless Grashof number to the square of the dimensionless Reynolds number is greater than the set threshold of the forced convection critical safety red line, an escape prevention boundary layer reconstruction command is generated, and a step current command is directly issued to force the speed of the adaptive fan module to be increased, thereby forcing the ratio to fall back to the safe range by increasing the downward airflow velocity at the air inlet. S42. When the effective frequency of mosquito penetration exceeds the set threshold, the compensation deflection angle required for active interception is calculated based on the basic spatial convection yaw angle obtained from the spatial mosquito density, combined with the extracted absolute radial flight speed of mosquitoes, the sine value of the tangential escape deflection angle, the average absolute axial airflow velocity at the air outlet at the current rotation speed, and the aerodynamic geometric flow compression ratio constant of the duct. S43. The basic spatial convection yaw angle and the compensation deflection angle are added together to generate the final target absolute yaw angle command sent to the micro DC brushless servo motor, which drives the rotatable guide vane array to generate asymmetric fluid boundary layer deflection for vector airflow directional interception and capture.

[0047] The basic spatial convection yaw angle is obtained based on a limited number of historical calibration data. Specifically, different numbers of mosquito swarms are released in a mosquito activity chamber with variable density; flow field tracing technology is used to record the optimal basic deflection angle that can induce the maximum flow entrainment effect without active yaw compensation; for example, 20 trapping tests are conducted in an area with a density of 500 mosquitoes / cubic meter, and the interception rate at different initial yaw angles is recorded. The set of blade deflection angle data corresponding to the peak capture rate is extracted, and the highest and lowest singular values ​​are excluded. The arithmetic mean is then taken, and a 5% aerodynamic flow field loss compensation margin is added to this average value. Thus, the above values ​​are respectively calibrated as 10 degrees.

[0048] In this embodiment, it should be noted that, in S41, when the system detects that excessive thermal lift prevents effective intake of external airflow, it rapidly increases the wind speed by directly increasing the motor current to restore aerodynamic control of the flow field. In S42, the system does not employ blind omnidirectional equivalent adsorption, but instead calculates the compensation value required for the deflection of the guide vanes based on the mosquito's specific flight speed and angle. In S43, the system combines the basic control quantity with the dynamic compensation quantity, driving the micro-motor to perform actions and change the wind pressure in a specific direction for directional capture.

[0049] In some optional embodiments, regarding step S4, assuming the calculated ratio is 0.18, exceeding the set threshold of 0.15, the system immediately sends a current command to increase the fan speed from 1500 RPM to 4500 RPM. At this time, the light curtain sensor records a penetration frequency of 6 times per second for a specific sector. The system extracts the flight speed as 2.5 m / s and the escape angle as 30 degrees. Combining this with real-time wind speed data, the system calculates that the blades need to be deflected by 15 degrees, and then controls the servo motor to execute this deflection action.

[0050] In steps S42 and S43 above, the target absolute yaw angle command is specifically generated using the following formula:

[0051] In the formula, This indicates the angle value corresponding to the generated target absolute yaw angle command, in deg. This represents the basic spatial convection yaw angle, measured in degrees (deg). Represents the arcsine mathematical function. This represents the absolute radial flight speed of mosquitoes, measured in m / s. This represents the tangential escape deflection angle, measured in deg. This represents the average absolute axial airflow velocity at the outlet at the current rotational speed, expressed in m / s. This represents the aerodynamic geometry of the fairing and the compressibility constant of the jet stream.

[0052] The forced convection critical safety threshold is obtained based on a limited number of historical calibration data. Specifically, different intensities of bottom suction and central heat source are applied in a closed experimental chamber with variable temperature and humidity; the location and time of airflow stagnation are recorded using smoke tracing and particle image velocimetry; for example, airflow dispersion is tested within a ratio range of 0.01 to 0.30, and the critical physical boundary that prevents tracer particles from being drawn in by the negative pressure below and causes them to move upward is recorded. After extracting the boundary value, a 15% control margin is added, thereby calibrating the above values ​​to the corresponding 0.15.

[0053] The threshold values ​​are obtained based on a limited number of historical calibration data. Specifically, the density characteristics of mosquito swarm activity are statistically analyzed in the natural environment; the frequency of penetration signal distribution per unit time is continuously recorded using an infrared light curtain; for example, the mosquito activity characteristics are statistically analyzed over 100 hours during dusk, and the frequency difference between dust falling signals that trigger invalid false triggers and actual mosquito trajectories is analyzed. In order to filter out occasional leaf falling interference, the lowest number of consecutive triggers within 1 second is statistically averaged, and the above values ​​are then labeled as 5 times.

[0054] The aerodynamic geometric flow stream compression ratio constant is obtained based on a finite number of historical calibration data. Specifically, test models of frustum-shaped air guides with different contraction ratios are manufactured; the average velocity distribution at the large-end inlet and small-end outlet is measured using a three-dimensional anemometer; for example, 10 constant airflow tests are conducted under a standard cone-angle model to calculate the actual physical ratio of the outlet velocity to the inlet velocity, and the influence of inner wall friction loss is deducted, thereby calibrating the above values ​​to 1.45 respectively.

[0055] The six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment disclosed in this embodiment also includes the following steps: S5. In the active trapping state where vector airflow directional interception is not triggered, execute dynamic adaptive fan speed control based on multi-dimensional physical parameters.

[0056] like Figure 6 As shown, in one specific embodiment, S5 includes: S51. Collect the absolute frequency of spatial mosquito density output by the photonic matrix transient vector flight sensing array, the absolute ambient temperature, relative humidity and carbon dioxide concentration collected by the sensor, and use the above four physical parameters as input variables of the fuzzy logic controller. S52. Call the fuzzy logic reasoning matrix to perform nonlinear aggregation and defuzzification integral algebraic calculation on the input variables, and output the basic speed output ratio of the adaptive wind turbine module; Specifically through the formula Solve the equation, where Indicates the base speed output ratio. The absolute frequency of data collection. The saturation constant is the set reference frequency. The current carbon dioxide concentration, This represents the maximum design concentration output from the pipeline. and These are the preset frequency weighting coefficient and concentration weighting coefficient, respectively. .

[0057] S53. Extract the difference between the absolute temperature and relative humidity of the environment and the standard reference thermodynamic temperature constant and standard reference relative humidity constant set by the system, respectively. Use the obtained difference and the preset temperature compensation bias coefficient and humidity compensation bias coefficient to perform secondary physical environment compensation correction on the basic speed output ratio, output the target absolute speed command of the fan and drive the centrifugal fan to run.

[0058] The set reference frequency saturation constant is obtained based on a finite number of historical calibration data. Specifically, a photonic matrix transient vector flight sensing array is set up in high-density mosquito breeding grounds in different seasons; the peak pulse characteristics triggered by the light curtain are recorded around the clock using a data acquisition card; for example, continuous monitoring of wetland environments during the summer peak season for 72 hours is performed, and the maximum penetration frequency of mosquitoes that causes the fan to need to operate at full load to maintain the flow field interception boundary within a unit time (e.g., 1 second) is extracted. After excluding abnormal long pulse interference caused by large insects such as moths, the average of the top 5% high-frequency distribution is taken and rounded up, thereby calibrating the above values ​​as the corresponding 100 times.

[0059] In this embodiment, it should be noted that, for S51, the system uses the collected multi-dimensional environmental data as the prerequisite input for the underlying calculations. In S52, the system converts these specific values ​​into proportional coefficients for the control output through built-in logical rules. In S53, in response to the changes in the insect's flight ability under different temperatures and humidity levels, the system directly uses algebraic equations to rigidly correct the aforementioned proportional coefficients to adapt to the changing patterns of biological kinetic energy.

[0060] In some optional embodiments, regarding step S5, it is assumed that the system collects an ambient temperature of 35°C, a humidity of 50%RH, and a high mosquito density in the space. The base rotational speed ratio output by the fuzzy controller is 0.6. The system calculates that the temperature deviates from the standard value of 25°C by 10°C, and the humidity deviates from the standard value of 60%RH by -10%RH. Using the above compensation coefficients, the system calculates that additional wind speed compensation should be added to the 0.6, and finally directly outputs a fan speed command of 3500 RPM.

[0061] In step S53 above, the target absolute speed command of the output fan is specifically calculated using the following formula:

[0062] In the formula, This indicates the speed value corresponding to the wind turbine target absolute speed command, in RPM. This indicates the maximum physical mechanical speed of a centrifugal fan under rated bus voltage without limitation, expressed in RPM. This indicates the output ratio of the base speed. This represents the preset temperature compensation bias coefficient, in units of 1 / ℃. This indicates the absolute ambient temperature, expressed in °C. This represents the standard reference thermodynamic temperature constant, expressed in °C. This indicates the preset humidity compensation bias coefficient, expressed in units of 1 / %RH. This indicates relative humidity, expressed in %RH. This represents the standard reference relative humidity constant, expressed in %RH.

[0063] The preset temperature compensation bias coefficient and humidity compensation bias coefficient are obtained based on a limited number of historical calibration data. Specifically, a flight escape experiment of mosquitoes is simulated in a constant temperature and humidity artificial climate chamber; the average flight speed and escape acceleration of mosquitoes under different temperature and humidity gradients are recorded using a high-speed camera; for example, tests are conducted every 1°C in the range of 25°C to 35°C, and every 5%RH in the range of 60%RH to 90%RH, to determine the fan speed increment required to maintain the same adsorption and capture rate. This speed increment is then subjected to multiple linear regression analysis with the temperature and humidity changes to extract the slope of their respective sensitivity coefficients, thereby calibrating the above values ​​as 0.015 and 0.008, respectively.

[0064] The standard reference thermodynamic temperature constant set by the system is obtained based on a limited number of historical calibration data. Specifically, the biological effects of different temperature gradients on the flight performance of mosquitoes are observed in a constant temperature and humidity artificial microclimate chamber; a high-speed camera system and image recognition algorithm are used to track the average cruising speed variation curve of mosquitoes; for example, multiple sets of control experiments are conducted in the range of 15℃ to 40℃, and the ambient temperature corresponding to the stable wing flapping frequency of mosquitoes and the lowest kinetic energy consumption is recorded. The median peak value that makes the insect's neural activity reach the trapping equilibrium point is extracted, and the above values ​​are respectively labeled as 25℃.

[0065] The six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment disclosed in this embodiment also includes the following steps: S6. After the vector airflow directional interception and capture is completed, physical energy consumption folding is performed to smoothly transition into the energy-saving maintenance phase.

[0066] like Figure 7 As shown, in one specific embodiment, S6 includes: S61. After a preset enhancement time for the vector airflow directional interception and capture, the photonic matrix transient vector flight sensing array is re-monitored; S62. When no valid mosquito penetration pulse signal is detected within a continuously set time window, a hibernation frequency reduction command is generated. S63. In response to the hibernation frequency reduction command, the speed of the adaptive fan module is forcibly reduced to the basic maintenance speed, the output carbon dioxide flow is compressed synchronously, and the closed-loop target control temperature of the heating element and the phase change liquid storage tank is uniformly reduced by the specified folding difference, so that the system enters a physical low power consumption operation state.

[0067] The specified folding difference is obtained based on a limited number of historical calibration data. Specifically, a bench temperature rise and fall monitoring test is performed in a constant Boltzmann thermal radiation convection feedback simulation cavity made of materials with different thermal conductivity; a high-precision infrared thermal imager is used to monitor the time delay decay characteristics of surface temperature fluctuations on the reconstruction of the surrounding local microclimate physical gradient; for example, during the test of gradually lowering the target maintenance temperature from 38°C, the minimum basic heat energy supply required to maintain the minimum volatile molecule attraction without disrupting the established local high humidity physical environment is recorded, and 50 sets of lower limit temperature drop differences that still maintain the weak effective thermal plume lift shape in the dormant state are extracted. After eliminating interference errors, the statistical mathematical average is calculated and rounded to the nearest physical integer point, thereby calibrating the above values ​​as the corresponding 2°C.

[0068] In this embodiment, it should be noted that, for S61, after performing a high-intensity capture, the system resumes normal optical monitoring of the environment. In S62, after confirming that no active targets have appeared for a period of time, the system determines that the current area is temporarily safe. In S63, the system comprehensively reduces the consumption of electrical energy and consumables by lowering the fan speed, reducing gas release, and lowering the heating temperature.

[0069] In some optional embodiments, regarding step S6, it is assumed that the system has continuously performed enhanced trapping for 60 seconds, and then transitions to monitoring. During the next 10 minutes, the light curtain sensor does not upload any mosquito pulse data. Based on this, the system generates a frequency reduction command: the fan speed automatically decreases from 4500 RPM to 2000 RPM, the carbon dioxide flow rate is reduced to 5 ml / min, and the heating element temperature smoothly decreases from 38°C to 36°C.

[0070] The preset enhancement time is based on a limited number of historical calibration data. Specifically, it is achieved by monitoring the time period required for mosquitoes to completely fall into the collection bag after each strong suction interception is triggered; and by statistically analyzing the temporal distribution of capture completion using electric shock current pulses on the internal components of the collection bag. For example, in 1000 effective trapping experiment records, the time period during which 99% of mosquitoes complete entry into the bag within 45 to 55 seconds after the strong wind is activated is extracted. To ensure the reliability of effective interception and capture, an engineering delay is added outside the upper limit time, thereby calibrating the above values ​​as 60 seconds respectively.

[0071] The set time window is based on a limited number of historical calibration data. Specifically, the average interval between mosquito colonies passing through the monitoring area in the natural environment is statistically analyzed; the time span between two isolated mosquito appearances is recorded using an all-weather light curtain sensor; for example, by analyzing data from 50 fixed-point monitoring sites in the field, more than 95% of the gaps in the sparse activity period are found to be between 8 and 12 minutes. To balance response sensitivity and energy saving, the median value is selected, and the above values ​​are calibrated as 10 minutes respectively.

[0072] The six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment disclosed in this embodiment also includes the following steps: S7. During the entire cycle of the method operation, execute hardware-level power-off and physical power-off protection based on six-axis attitude calculation in parallel, and configure an anti-deadlock adaptive state machine physical degradation fault tolerance mechanism during the method operation.

[0073] like Figure 8 As shown, in one specific embodiment, S7 includes: S71. Real-time acquisition of gravity component data from the three-axis accelerometer output by the embedded six-axis attitude inertial measurement unit, processing of the gravity component data using a filtering algorithm, calculation of the transient Euler angle of the device in physical space, and then obtaining the absolute spatial tilt angle of the central axis deviating from the absolute gravity plumb line; S72. When the monitoring determines that the absolute tilt angle of the space exceeds the set anti-overturning physical safety red line threshold, the highest priority non-maskable interrupt of the system is triggered and a physical blocking command is generated. In response to the physical blocking command, the main relay coil level connected to all core trapping sources and high-voltage physical electric shock collection chamber is directly pulled low within a nanosecond period to forcibly cut off the underlying physical power supply. S73. Real-time monitoring of the response level status of the photonic matrix transient vector flight sensing array on the communication bus; S74. When the response time exceeds the set crash judgment threshold, a hardware physical fault degradation instruction is generated, and all closed-loop calculation processes for extracting the radial absolute flight speed variable of the mosquito are forcibly terminated. According to the hardware physical fault degradation instruction, the system is forced to revert from a dynamic response state machine based on multi-dimensional parameters to a static polling state machine. S75. Under the control of the static polling state machine, the external environment sensor feedback is shielded, and the adaptive fan module is driven to start the enhanced capture speed at a fixed periodic time interval to perform open-loop forced suction and trapping operation.

[0074] In this embodiment, it should be noted that, in S71, the system calculates the physical tilt of the device by reading data from the gravity sensor. In S72, the system takes the highest level of hardware cutoff measures before the device collapses to prevent short circuits and accidents. In S73 and S74, when the system detects that an external sensor has lost connection and cannot be restored, it cuts off the complex calculation program to prevent a physical deadlock in the control program. In S75, when the system loses its sensing capability, it maintains basic operational capabilities by periodically executing a forced adsorption mode.

[0075] In some optional embodiments, regarding step S7, assuming the device is impacted by an external force, and the system calculates that the absolute tilt angle reaches 46 degrees, exceeding the set threshold of 45 degrees, the system immediately triggers an interrupt, and the relay cuts off all power supply. Alternatively, after a rainstorm, if the sensor communication interface becomes damp, and the system does not receive any returned data on the bus for 2000 ms, it determines that the system has crashed, immediately stops vector calculation, and switches to a timed mode where the fan rotates at 4500 RPM for 3 minutes every 15 minutes.

[0076] The anti-overturning physical safety threshold is obtained based on a limited number of historical calibration data. Specifically, the physical center of gravity of the entire device is tested and the overturning moment is calculated; the anti-collapse limit angle of the device under different geological conditions is determined using a horizontal inclinometer and a thrust gauge; for example, multiple tilting thrust tests are conducted on soil and cement surfaces, and the critical angles that cause the device's center of gravity to deviate from the bottom surface of the supporting polygon are recorded to be between 50° and 55°. To ensure that the power is cut off before complete loss of balance, a safety boundary value is extracted and a margin is left, thereby calibrating the above values ​​as the corresponding 45°.

[0077] The downtime determination threshold is obtained based on a limited number of historical calibration data. Specifically, the communication recovery time between the main control chip and the sensor is tested by injecting electromagnetic interference signals into the communication bus; the timeout reset cycle of the communication bus is captured using a logic analyzer; for example, 500 bus congestion and self-recovery tests are performed, and the longest software self-recovery process is recorded to be 1200ms to 1500ms. To avoid system misjudgment and to take into account the real-time response, some timing margin is added, and thus the above values ​​are respectively calibrated to 2000ms.

[0078] To better implement the aforementioned six-source synergistic trapping and intelligent wind-suction mosquito-catching method based on air CO2 enrichment, this embodiment also discloses in detail the underlying hardware architecture system for executing the method. The system has a vertically symmetrical, cylindrical, multi-compartment compact structure in its external spatial form, consisting of a top functional control compartment, a middle airflow rectification compartment, and a bottom mosquito collection compartment, all sealed together from top to bottom.

[0079] Within this compact, multi-compartment cylindrical structure, six core trapping sources and control actuators are installed to perform the aforementioned steps. Their specific physical structure is detailed below: Regarding the odor and carbon dioxide generation structure, the flexible carbon dioxide enrichment and low-pressure steady-flow diffusion module adopts a dual-source parallel structure of high-pressure gas storage and in-situ chemical gas generation. The high-pressure side is equipped with an aluminum alloy high-pressure carbon dioxide storage tank with a nominal volume of 50ml. The output end of the high-pressure carbon dioxide storage tank is connected to a two-stage series mechanical pressure-reducing valve group: the first stage is a piston-type high-pressure pressure-reducing valve, and the second stage is a stainless steel diaphragm-type low-pressure pressure-reducing valve. A miniature proportional needle valve driven by a stepper motor is connected in series in the low-pressure pipeline as a flow control valve. The parallel integrated in-situ chemical self-replenishing branch includes a 200ml 316L stainless steel solid-liquid chemical gas generator chamber, pre-stored with a mixture of solid sodium bicarbonate powder and solid citric acid powder at a mass ratio of 1:1. A miniature precision peristaltic pump is installed on the top outer wall of the solid-liquid chemical gas generator chamber, and a one-way check valve with an embedded mechanical return spring is connected in series in the gas phase output pipeline. The outlet of this one-way check valve is connected to the low-pressure pipeline section between the second-stage stainless steel diaphragm low-pressure reducing valve and the miniature proportional needle valve. The output of the flow control valve is connected to the atomizing diffusion unit surrounding the air inlet of the central airflow rectifier chamber. The atomizing diffusion unit is a 180mm outer diameter annular polytetrafluoroethylene hollow pipe, with a diffusion array of 300 pores with a diameter of 0.15mm formed on its downward side using laser micro-pore processing.

[0080] In terms of the thermodynamic and optical generation structure, the constant Boltzmann thermal radiation convection feedback simulation cavity is located at the core geometric center section of the central airflow rectifier compartment. The heating element uses a 99% pure alumina ceramic substrate, with a graphene-doped carbon-based coating applied to the outer surface using a plasma spraying process. The geometric shape of the heating element is designed as a regular pentagonal array composed of five independent cylindrical heating units, with the circumcircle diameter of the regular pentagonal array limited to 90mm. Each independent cylindrical heating unit has an outer diameter of 20mm, a vertical axial height of 40mm, and a negative temperature coefficient thermistor attached to the inner cavity wall. The cross-band photon radiation and ambient illuminance dynamic folding array is horizontally set on the bottom plate of the top functional control compartment. The substrate is a 2.0mm thick aluminum-based copper-clad laminate, on which 49 individually packaged light-emitting diode chips are soldered, including 25 ultraviolet light-emitting diode chips with a peak wavelength of 365nm and 24 blue light-emitting diode chips with a peak wavelength of 470nm. The two types of chips are arranged in a checkerboard pattern with equal spacing, in rows of 7 rows and 7 columns. The physical geometric center distance between two adjacent chips is fixed at 17mm. Each chip is covered by an aspherical optical lens made of polymethyl methacrylate.

[0081] Regarding the phase change and humidity generation structure, the phase change pressure difference adaptive molecularly attracted manifold generator comprises a first, second, and third liquid storage tank, all made of polytetrafluoroethylene (PTFE) and with a volume of 30 ml. The three tanks are individually filled with 1-octen-3-ol liquid formulation, ethyl lactate liquid formulation, and ethyl pyruvate liquid formulation, respectively. The outer wall of each tank is wrapped with a flexible polyimide electrothermal film, and a PT100 platinum resistance temperature sensor is embedded at the bottom of each inner cavity. The vapor evaporation outlets of the three tanks converge and inject into a porous microporous ceramic flow equalization plate via independent capillary tubes with an inner diameter of 2 mm. The ultrasonic energy convection atomization humidity generation field includes an annular transparent plastic water storage cavity with a volume of 300 ml, and a piezoelectric ultrasonic transducer with a working frequency of 2.0 MHz is embedded at the bottom.

[0082] Regarding the airflow guidance and control acquisition structure, the adjustable boundary layer tapered vector airflow guidance field source includes a tapered frustum-shaped shroud made of engineering plastic, with an outer diameter of 250mm at the large end of the inlet and an inner diameter of 120mm at the small end of the outlet. Eight rotatable blades are arranged symmetrically around the vertical central axis on the small end outlet section of the shroud. A miniature brushless DC servo motor is connected to the central shaft at the root of each blade. The adaptive fan module uses a brushless DC centrifugal impeller. The photonic matrix transient vector flight sensing array includes a carbon fiber support rod fixed to the outer wall of the cylindrical device. The support rod holds two horizontally equal-height, vertically spaced annular infrared laser beam curtains. Both the upper and lower beam curtains consist of 24 near-infrared laser diodes emitting at a wavelength of 850nm and a linear array of 24 avalanche photodiodes. The control motherboard is equipped with a 72MHz microcontroller, specifically the STM32F103RCT6, and a six-axis attitude inertial measurement unit is horizontally soldered on the bottom of the motherboard.

[0083] To verify the effectiveness and key features of the method disclosed in this embodiment, comparative experimental data are provided below. The experiment was conducted in a closed artificial climate chamber with dimensions of 4m in length, width, and height. The initial ambient temperature was set at 28°C and the relative humidity at 60%RH. 500 female Aedes albopictus mosquitoes were released in each experimental group, and the test period was 2 hours.

[0084] The test groups were set as follows: Experimental group: The six-source synergistic trapping and intelligent wind suction mosquito-catching method based on air CO2 enrichment disclosed in this embodiment was implemented, featuring vector airflow directional interception, phase change pressure dynamic closed-loop compensation, and adaptive fan speed environmental correction functions. Comparative example 1: The vector airflow directional interception step in step S4 was disabled, the guide vanes were fixed, and the fan maintained a constant suction force. Comparative example 2: The phase change pressure difference adaptive closed-loop compensation step in step S2 was disabled, and the heating film was heated only at a fixed temperature of 50°C. Comparative example 3: The fan speed environmental correction step in step S5 was disabled, and the fan operated only according to normal time control, without responding to changes in temperature and humidity.

[0085] The experimental results are as follows: The experimental group captured a total of 468 mosquitoes, with a capture rate of 93.6%. The average system power consumption was 32W, and no odorant fractionation or spillage occurred. Comparative Example 1 captured a total of 315 mosquitoes, with a capture rate of 63.0%. The average system power consumption was 28W. Without vector-directed airflow interception, a large number of mosquitoes escaped against the current at the edge of the air inlet. Comparative Example 2 captured a total of 282 mosquitoes, with a capture rate of 56.4%. The average system power consumption was 31W. Due to the negative pressure of the fan, the attractant underwent severe low-pressure vaporization and fractionation, resulting in an imbalance in the mixed gas ratio and a significant decrease in induction effect. Comparative Example 3 was tested after the temperature in the artificial climate chamber was raised to 35℃, capturing a total of 241 mosquitoes, with a capture rate of 48.2%. Due to the lack of forced convection acceleration compensation for the high-temperature environment, it was unable to overcome the escape kinetic energy of mosquitoes at high temperatures.

[0086] The experimental data above show that the present invention solves the problems of mosquito escape, trapping source parameter mismatch and environmental interference through the collaborative feedback and feedforward compensation control of multi-dimensional physical parameters.

[0087] In another embodiment, in a typical summer evening outdoor courtyard application scenario, the initial environmental state is during the twilight transition, and the system starts up to enter the pre-activation and active trapping phase. At this time, the ambient illuminance silicon photodiode array on the top functional control cabin collects the ambient illuminance value in real time, reaching 60 Lux. The system calls the set upper limit illuminance threshold of 100 Lux for light masking effect failure, as well as the gamma exponent of the brightness perception nonlinear attenuation characteristic of 0.45 and the maximum light intensity attenuation coefficient of 60%. The system uses a formula to calculate the dynamic duty cycle command to be executed. The specific calculation process is 100% minus 60 divided by 100 to the power of 0.45 and then multiplied by 60%, finally obtaining a PWM control duty cycle of 52.3% for the cross-band photon radiation and ambient illuminance dynamic folding array. Under this duty cycle, the dual-channel constant current drive circuit provides folded power input to the ultraviolet and blue light-emitting diode chips, reducing the ineffective power consumption by 47.7% while ensuring the visual contrast induction effect for mosquitoes.

[0088] As the trapping operation continued, environmental parameters fluctuated dynamically. A digital temperature sensor detected an ambient temperature of 32°C, and a digital humidity sensor detected a relative humidity of 75%RH. Since the interception action had not yet been triggered, the system implemented dynamic adaptive fan speed control based on multi-dimensional physical parameters. The system detected an absolute frequency of mosquito density of 25 times and a current carbon dioxide concentration of 600 ppm. The system invoked the set baseline frequency saturation constant of 100 times, the maximum design concentration of the pipeline output of 1000 ppm, and the preset frequency weighting coefficient of 0.6 and concentration weighting coefficient of 0.4. Substituting these values ​​into the aggregation formula, the calculation yielded: 0.6 multiplied by (25 divided by 100) plus 0.4 multiplied by (600 divided by 1000), which equals 0.15 plus 0.24. The output base speed ratio was 0.39, which the system rounded to 0.4. The maximum physical mechanical speed of the centrifugal fan was calibrated to 5000 RPM. The system uses formulas to calculate the target fan speed command. First, it calculates the temperature deviation (32) minus the standard reference temperature (25) to get 7℃, and the humidity deviation (75) minus the standard reference humidity (60) to get 15%RH. Substituting the temperature compensation bias coefficient (0.015) and humidity compensation bias coefficient (0.008), the calculation result is 5000 multiplied by 0.4, then multiplied by 1, plus the product of 0.015 and 7, minus the product of 0.008 and 15. The calculation process is 2000 multiplied by 0.985, finally yielding a target speed of 1970 RPM. The system drives the fan at 1970 RPM to compensate for the basic aerodynamic escape ability of mosquitoes under this temperature and humidity conditions.

[0089] The maximum design concentration output by the pipeline is obtained based on a limited number of historical calibration data. Specifically, the output flow rate is adjusted by combining a micro proportional needle valve and a one-way check valve in a static wind tunnel; a high-precision non-dispersive infrared carbon dioxide sensor is used to monitor the peak concentration evolution at the diffusion array outlet; for example, under standard atmospheric pressure and constant flow rate, the gas release behavior of the gas storage tank with the valve fully open is tested, and the highest concentration upper limit value that does not cause rapid gravitational settling and escape of the surrounding local air and maintains the optimal biological induction gradient is recorded. After deducting the interference of the ambient air background concentration, the statistically stable value is taken, and the above values ​​are respectively calibrated as 1000 ppm.

[0090] While the fan operates at 1970 RPM, the system continuously releases odor attractants and needs to suppress the interference of air pressure fluctuations on the evaporation rate. At this time, the local ambient standard atmospheric pressure collected by the onboard barometer is 101325 Pa. The system uses a formula to calculate the critical phase transition temperature of the attractant. First, it calculates the dynamic negative pressure drop value, that is, the aerodynamic flow field static pressure drop conversion coefficient 0.0000145 multiplied by the square of 1970, which yields a local air pressure drop of approximately 56.3 Pa at the air inlet, and the actual effective air pressure becomes 101268.7 Pa. For 1-octen-3-ol in the first storage tank, the system calls the pre-stored dimensionless first Antoine constant A of 10.569, dimensionless second Antoine constant B of 1500, and dimensionless third Antoine constant C of 220. After calculation using the formula, 1500 divided by (10.569 minus the commonly used logarithm of 101268.7 to base 10, 5.005) yields a quotient of 269.6. Subtracting 220 from the quotient, the critical phase transition temperature under the current negative pressure environment is calculated to be 49.6℃. The system then immediately lowers the control target of the flexible polyimide electric heating film on the outer wall of the storage tank from the standard 50℃ to 49.6℃, ensuring that the vaporization rate strictly conforms to the set concentration ratio and prevents vaporization fractionation overflow.

[0091] When the induction field stabilized late at night, a single Aedes albopictus mosquito, attracted by the composite field, approached the device's air inlet and passed through the photonic matrix-type transient vector flight sensing array. At this moment, the upper and lower annular infrared light curtains were successively blocked. The system's advanced timer captured the time interval of the two level transitions as 0.025s. Since the vertical constant physical mechanical distance between the two light curtains was fixed at 0.05m, the system used a formula to calculate the mosquito's radial flight speed. By dividing 0.05 by 0.025, the microcontroller output the target's flight speed as 2.0m / s. This speed data was then stored in the memory register and served as one of the core criteria for determining whether to trigger enhanced aerodynamic interception. Simultaneously, the accumulated effective penetration frequency exceeded the preset threshold of 5 times, and the system state machine transitioned from the basic maintenance phase to the enhanced capture phase.

[0092] After triggering the enhanced capture phase, the system synchronously extracted the phase difference between the receiving points of adjacent detection sectors and calculated the mosquito's tangential escape deflection angle to be 30 degrees, with a sine value of 0.5. The system allocated a base spatial convection yaw angle of 10 degrees based on the overall mosquito density. At this point, the adaptive fan had been boosted to 4500 RPM, the average axial airflow velocity at the outlet reached 6.0 m / s, and the aerodynamic geometric flow compression ratio constant of the deflector was 1.45. The system generated the target yaw angle command using a formula. Specifically, 2.0 multiplied by 0.5 yielded 1.0, 6.0 multiplied by 1.45 yielded 8.7, and 1.0 divided by 8.7 was approximately 0.1149. Taking the arcsine of this yielded the compensation deflection angle of 6.6 degrees required for active interception. The system added the base angle of 10 degrees to the compensation angle of 6.6 degrees to obtain the final target yaw angle of 16.6 degrees.

[0093] Upon receiving a target command at 16.6 degrees, the miniature brushless DC servo motor drives the rotatable guide vanes in the corresponding direction to deflect to a precise angle within 50 milliseconds. This mechanical action causes an asymmetrical distortion of the originally uniformly distributed negative pressure flow field from the inlet to the outlet, shifting the center of maximum local suction force to the predicted spatial trajectory of the mosquito escaping at a 30-degree angle and a speed of 2.0 m / s. The deflected airflow of 6.0 m / s completely overcomes the mosquito's aerodynamic lift, pulling it into the dual-energy high-voltage physical electric shock collection chamber at the bottom, where it is physically electrocuted by a 3000V power grid. After maintaining 4500 RPM and vane deflection for 60 seconds without detecting any new targets, the system smoothly returns to the steady-state sleep mode of pre-activation, the fan speed decreases, and the temperature and electrical parameters are reset. The optical, thermodynamic, fluid dynamic, and kinematic parameter calculations involved in the above application scenario are nested together, forming a rigorous automated closed-loop control process.

[0094] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A six-source synergistic trapping and intelligent wind-suction mosquito trapping method based on air CO2 enrichment, characterized in that, include: An initial carbon dioxide concentration gradient field and a local high-humidity physical environment are constructed by diffusing a constant flow of carbon dioxide gas and fine water mist in the near-field periphery of the device. In the local high-humidity physical environment, the constant Boltzmann thermal radiation convection feedback simulation cavity, the cross-band photon radiation and ambient illuminance dynamic folding array, and the phase change pressure difference adaptive molecular attracted manifold generator are activated in sequence to complete the establishment of the five-dimensional spatial coupling induced field. The mosquito penetration signal in the five-dimensional spatial coupling induced field is monitored in real time using a photonic matrix transient vector flight sensing array. Time interval data is extracted and the radial absolute flight speed and tangential escape deflection angle of the mosquitoes crossing a specific physical detection sector are calculated. When the effective frequency of mosquito penetration exceeds the set threshold, the target absolute yaw angle command for the corresponding sector is generated based on the calculated radial absolute flight speed and tangential escape deflection angle of the mosquito. This drives the rotatable guide vane array to generate asymmetric fluid boundary layer deflection and increases the rotation speed of the adaptive fan module to enhance the capture speed. The center of the local maximum negative pressure gradient is shifted to the mosquito escape path for vector airflow directional interception and capture.

2. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, During the process of activating the phase change pressure difference adaptive molecular-induced manifold generator for vaporization and release, closed-loop compensation for phase change vaporization and dynamic aerostatic pressure is performed, specifically as follows: The current actual mechanical speed of the adaptive fan module is obtained, and the dynamic negative pressure drop value of the air inlet is calculated by combining the preset aerodynamic flow field static pressure drop conversion coefficient. Collect the absolute value of the local environmental standard atmospheric pressure, subtract the dynamic negative pressure drop value from it, and inversely calculate the critical phase transition temperature required for the attractant to reach the target saturated vapor pressure in the current low-pressure gas phase environment; The critical phase transition temperature is used as the target absolute heating temperature control setting value, and the heating power of the flexible polyimide electrothermal film wrapped around the outer wall of the liquid storage tank in the phase transition pressure difference adaptive molecularly attracted manifold generator is dynamically adjusted.

3. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, After the five-dimensional spatial coupling induced field is established, the critical Reynolds number breakthrough determination for thermal buoyancy lift and negative pressure suction force is performed, specifically as follows: Real-time acquisition of transient ambient temperature values ​​of the near-field atmosphere, combined with the surface temperature of the heating element in the constant Boltzmann thermal radiation convection feedback simulation cavity, allows for the calculation of the dimensionless Grashof number, which characterizes the intensity of natural convection. Extract the current rotational speed data of the adaptive fan module and calculate the dimensionless Reynolds number, which characterizes the intensity of forced convection in the inlet flow field. The ratio of the dimensionless Grashof number to the square of the dimensionless Reynolds number is calculated. When the ratio is determined to be greater than the set threshold for the critical safety red line of forced convection, an escape prevention boundary layer reconstruction command is generated. In response to the escape prevention boundary layer reconstruction command, a step current command is directly issued to force the rotational speed of the adaptive fan module to increase, thereby forcing the ratio to fall back to a safe range by increasing the downward airflow velocity at the air inlet.

4. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, The process of calculating the radial absolute flight velocity and tangential escape deflection angle of a mosquito traversing a specific physical detection sector, and generating a target absolute yaw angle command, is as follows: Record the time interval between the mosquito continuously cutting through the upper and lower annular infrared light curtains, divide the vertical constant physical mechanical distance between the light curtains by the time interval, and output the absolute radial flight speed of the mosquito. Extract the pulse response phase difference of adjacent receiving points around the physical detection sector, and use trigonometric functions to calculate the tangential escape deflection angle of the mosquito relative to the geometric center axis of the air inlet; Based on the basic spatial convection yaw angle derived from the spatial mosquito density, and combined with the extracted absolute radial flight speed of mosquitoes, the sine value of the tangential escape deflection angle, the average absolute axial airflow velocity at the outlet at the current rotation speed, and the aerodynamic geometric flow compression ratio constant of the fairing, the compensation deflection angle required for active interception is calculated. The base spatial convection yaw angle and the compensated yaw angle are added together to generate the target absolute yaw angle command that is finally sent to the miniature brushless DC servo motor.

5. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, In the active trapping state where vector airflow directional interception is not triggered, dynamic adaptive fan speed control based on multi-dimensional physical parameters is executed, specifically: The absolute frequency of spatial mosquito density output by the photonic matrix transient vector flight sensing array, the absolute ambient temperature, relative humidity and carbon dioxide concentration collected by the sensor, and the above four physical parameters are used as input variables of the fuzzy logic controller. The fuzzy logic inference matrix is ​​invoked to perform nonlinear aggregation and defuzzification integral algebraic solution on the input variables, and the basic speed output ratio of the adaptive wind turbine module is output. The difference between the ambient absolute temperature and relative humidity and the standard reference thermodynamic temperature constant and standard reference relative humidity constant set by the system is extracted. The difference is then used in combination with the preset temperature compensation bias coefficient and humidity compensation bias coefficient to perform secondary physical environment compensation correction on the basic speed output ratio, output the target absolute speed command of the fan and drive the centrifugal fan to run.

6. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, During the activation of the cross-band photon radiation and ambient illuminance dynamic folding array, adaptive negative feedback closed-loop control is executed to suppress the optical masking effect, specifically: The ambient absolute illuminance value in the near field is collected in real time and compared with the set upper limit illuminance threshold for absolute failure of light masking effect to obtain a quotient. By combining the quotient result with the gamma index, which characterizes the nonlinear decay of brightness perception, the amount of light intensity attenuation that should be implemented is calculated. The light intensity attenuation is subtracted from the full-power operating duty cycle to generate a dynamic duty cycle command for driving the cross-band photon radiation and ambient illuminance dynamic folding array, and the output power of the drive array is adaptively folded downward when the ambient background light is enhanced.

7. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, The process of constructing the initial carbon dioxide concentration gradient field is executed by the carbon dioxide flexible enrichment and low-pressure steady-flow diffusion module, specifically as follows: The high-pressure gas output from the high-pressure carbon dioxide storage tank is mechanically reduced in two stages through a high-pressure reducing valve and a low-pressure reducing valve, and a low-pressure gas flow that meets the static pressure of the working pipeline is output. Simultaneously, a micro-precision peristaltic pump is started to pump reaction water into the sealed solid-liquid chemical gas-generating agent chamber to trigger in-situ chemical gas generation. When the transient gas pressure of the generated gas is greater than the set opening pressure threshold and higher than the instantaneous static pressure of the current low-pressure pipeline, the one-way check valve is opened to inject the in-situ generated carbon dioxide gas into the low-pressure gas flow to replenish the gas source. After the replenished mixed carbon dioxide gas flow is controlled by a micro proportional needle valve, it is uniformly released outward and downward through a laser micro-pore diffusion array, forming the initial carbon dioxide concentration gradient field.

8. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, After the vector airflow is directionally intercepted and captured, physical energy consumption is folded to smoothly transition into the energy-saving maintenance phase, specifically: After a preset enhancement time for directional interception and capture of vector airflow, the photonic matrix transient vector flight sensing array is re-monitored; When no valid mosquito penetration pulse signal is detected within a continuously set time window, a dormancy frequency reduction command is generated; In response to the hibernation frequency reduction command, the speed of the adaptive fan module is forcibly reduced to the basic maintenance speed, the output carbon dioxide flow is compressed synchronously, and the closed-loop target control temperature of the heating element and the phase change liquid storage tank is uniformly reduced by the specified folding difference, so that the system enters a physically low power consumption operation state.

9. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, During the entire lifecycle of the method, hardware-level physical power-off protection based on six-axis attitude calculation is executed in parallel, specifically as follows: Real-time acquisition of gravity component data from the three-axis accelerometer output by the embedded six-axis attitude inertial measurement unit; The gravity component data is processed using a filtering algorithm to calculate the transient Euler angles of the device in physical space, and then the absolute spatial tilt angle of the central axis deviating from the absolute gravity plumb line is obtained. When the monitoring determines that the absolute tilt angle of the space exceeds the set anti-overturning physical safety red line threshold, the highest priority non-maskable interrupt is triggered and a physical blocking command is generated. In response to the physical blocking command, the main relay coil level connected to all core trapping sources and the high-voltage physical shock collection cavity is directly pulled low within a nanosecond period, forcibly cutting off the underlying physical power supply.

10. The method for six-source synergistic trapping and intelligent wind suction mosquito trapping based on air CO2 enrichment according to claim 1, characterized in that, During the method's execution, a deadlock-prevention adaptive state machine physical degradation fault-tolerance mechanism is configured, specifically as follows: Real-time monitoring of the response level status of the photonic matrix transient vector flight sensing array on the communication bus; When the response time exceeds the set crash judgment threshold, a hardware physical fault degradation instruction is generated, and all closed-loop calculation processes for extracting the radial absolute flight speed variable of the mosquito are forcibly terminated. Based on the aforementioned hardware physical fault degradation instruction, the system is forced to revert from a dynamic response state machine based on multidimensional parameters to a static polling state machine. Under the control of the static polling state machine, external environmental sensor feedback is shielded, and the adaptive fan module is driven to start the enhanced capture speed at fixed periodic time intervals to perform open-loop forced suction and trapping operations.

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