Mosquito-borne disease remote intelligent forecasting system

By setting up baffles on both sides of the mosquito trap to create a localized high-concentration carbon dioxide area, and combining high-definition cameras and deep learning algorithms, the problem of carbon dioxide diffusion and dilution in existing technologies has been solved, achieving efficient mosquito trapping and intelligent identification, and supporting remote monitoring and early warning.

CN122228992APending Publication Date: 2026-06-19NANJING YUANBA LIGHTING EQUIP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING YUANBA LIGHTING EQUIP
Filing Date
2026-03-12
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing mosquito-attracting devices rapidly diffuse and dilute after releasing carbon dioxide, making it difficult to maintain a stable and high-concentration attraction environment at the mosquito-attracting entrance. Furthermore, they lack the ability to identify mosquitoes in real time and transmit data back, thus failing to achieve remote, continuous, and intelligent monitoring of population dynamics.

⚗Method used

The system employs a remote intelligent mosquito monitoring system. By setting up baffles on both sides of the mosquito trapping opening to create a localized high-concentration carbon dioxide area, it combines a 20-megapixel high-definition camera and deep learning algorithms for mosquito identification, and integrates a control device to achieve automated monitoring and data processing.

🎯Benefits of technology

A localized high-concentration carbon dioxide zone is created at the mosquito trapping opening, improving mosquito attraction efficiency, enabling unattended automated monitoring and high-precision mosquito identification, supporting remote data upload, reducing labor costs, and enhancing disease early warning capabilities.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a remote intelligent mosquito vector monitoring system, belonging to the fields of artificial intelligence and biological control. It includes a housing with a carbon dioxide generator installed on it to release carbon dioxide to attract mosquitoes. A dosing tube is fixedly installed on the top of the housing. A mosquito-catching opening is located on the housing, with baffles on both sides forming a high-concentration carbon dioxide area between the baffles. The housing contains a mosquito collection chamber and includes an imaging device installed within the housing. A control device is installed on the housing. The high-concentration carbon dioxide released by the carbon dioxide generator simulates human respiration, effectively attracting mosquitoes. Combined with the baffles on both sides of the mosquito-catching opening, a localized high-concentration carbon dioxide area is formed at the entrance, enhancing the attraction effect and guiding mosquitoes smoothly into the housing, thus improving mosquito-catching efficiency.
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