Design of Intelligent Classification Waste Bin with Detection Technology in Fog and Haze Weather

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Abstract

In recent years, the degree of concern about air pollution, especially for suspended particulate matter, has gradually increased. The suspended particles are solid particles that have a particle diameter of fewer than 100 μm such as PM1, PM2.5, and PM10 in the atmosphere. This design determines the theoretical basis for measuring particle concentration by laser scattering method using the principle of Mie scattering. Based on the Mie scattering, the light scattering characteristics of suspended particles were analyzed theoretically. The scattered light intensity distribution curve and extinction coefficient curve of single suspended particles under different characteristic parameters were discussed. The scattered light intensity distribution and incident light were obtained respectively. The design also has automatic garbage sorting capability. When people need to throw garbage, it can automatically open the cover. When the garbage bin is full, it will automatically alarm and remind. And it can automatically distinguish metal and non-metal and classify it to recycle metal resources and reduce waste. Meanwhile, solar panels can also be used to power solar energy, saving energy and environmental protection. To further improve the intelligence of the overall design, the product is equipped with luminescent material and an LCD on the outer wall of the garbage can, which can display the status and time of the current garbage bin, temperature, air quality and change its color according to the air quality. Moreover, the wireless communication function is designed. And the remote human-computer interaction is realized through the mobile terminal. The air quality information and the garbage bin classification situation are automatically uploaded to the mobile terminal.

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Zhang, A., Zhuang, P., Shi, Y., & Zhao, D. (2020). Design of Intelligent Classification Waste Bin with Detection Technology in Fog and Haze Weather. In Lecture Notes in Electrical Engineering (Vol. 571 LNEE, pp. 1241–1249). Springer. https://doi.org/10.1007/978-981-13-9409-6_147

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