Plant maintenance method, system and equipment based on traffic pollution and storage medium

CN120875261AActive Publication Date: 2025-10-31INST OF GEOGRAPHY HENAN ACAD OF SCI
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Patent Information

Application Number
CN202511012204.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-22
Publication Date
2025-10-31
Estimated Expiration
2045-07-22

AI Technical Summary

Technical Problem

Existing plant care methods have failed to effectively address oxidative damage caused by traffic pollution, affecting plant stress resistance and ecological restoration efficiency.

Method used

By acquiring traffic congestion, meteorological, air pollution, soil physiology and physiology data of the target area, a composite feature is constructed and a long short-term memory network model is used to predict pollution spread and control the plant maintenance system to carry out irrigation or spraying treatment in advance.

Benefits of technology

It improves the plant's tolerance to urban traffic pollution, alleviates oxidative damage, and enhances the plant's stress resistance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a plant maintenance method, system and device based on traffic pollution, and a storage medium, and the key points of the technical scheme are that the method comprises the steps: obtaining traffic congestion data, meteorological data, air pollution data and soil physical and chemical data of a target region, and plant physiological data of a target plant; calculating a pollution diffusion coefficient according to the meteorological data and the air pollution data; constructing a first composite feature according to the pollution diffusion coefficient, the meteorological data and the air pollution data, constructing a second composite feature according to the pollution diffusion coefficient, the traffic jam data and the air pollution data, and constructing a third composite feature according to the soil physical and chemical data and the plant physiological data; inputting the first composite feature, the second composite feature and the third composite feature into a pre-trained pollution prediction model to obtain a pollution prediction result; and controlling a plant maintenance system corresponding to the target plant according to the pollution prediction result. The method is helpful for improving the urban traffic pollution resistance of the target plants and relieving the oxidative damage degree of the target plants.
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Citation Information

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