A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The invention relates to the technical field of atmospheric pollution treatment, and discloses an atmospheric pollutant treatment method based on semi-supervised learning, comprising the following steps: S1, collecting environmental protection data of the Internet of Things; s2, condensing and recycling atmospheric pollution organic matters at related pollutant discharge points of a factory; s3, treating harmful gas pollutants by adopting a gas adsorption method; S4, using a direct waste gas combustion method in a high-concentration small-air-volume region; s5, treating the automobile exhaust on the road surface, selecting a main traffic road section, spraying a photocatalyst material on sidewalks and green belts on the two sides of the main traffic road section in a manual operation mode, and eliminating NOx in the automobile exhaust along the road; s6, perfecting urban greening, and developing plant purification. Compared with traditional dust fall purification, the device has the beneficial effects that harmful gas is subjected to photosynthesis reaction by spraying a photocatalyst so as to perform catalytic oxidation reaction, spraying on buildings is facilitated, the device is not limited to roads, and the device is relatively convenient and high in applicability.
本发明涉及大气污染治理技术领域，且公开了一种基于半监督学习的大气污染物治理方法，包括以下步骤：S1，收集物联网的环保数据；S2，在工厂相关污染物排放点进行冷凝回收大气污染有机物步骤；S3，采用气体吸附法处理有害气体污染物，S4，在高浓度小风量的地区使用直接燃烧废气法；S5，对路面汽车尾气治理，选取主要交通路段，在其两侧人行道及绿化带通过人工作业方式喷洒光触媒材料，在道路沿线消除汽车尾气中的NOx；S6，完善城市绿化，发展植物净化。本发明具备相较于传统的降尘净化，通过喷洒光触媒对有害气体进行光和反应进而催化氧化反应，且方便在建筑物上喷洒，不限于道路，比较便捷，适用性强的有益效果。
The invention relates to the technical field of atmospheric pollution treatment, and discloses an atmospheric pollutant treatment method based on semi-supervised learning, comprising the following steps: S1, collecting environmental protection data of the Internet of Things; s2, condensing and recycling atmospheric pollution organic matters at related pollutant discharge points of a factory; s3, treating harmful gas pollutants by adopting a gas adsorption method; S4, using a direct waste gas combustion method in a high-concentration small-air-volume region; s5, treating the automobile exhaust on the road surface, selecting a main traffic road section, spraying a photocatalyst material on sidewalks and green belts on the two sides of the main traffic road section in a manual operation mode, and eliminating NOx in the automobile exhaust along the road; s6, perfecting urban greening, and developing plant purification. Compared with traditional dust fall purification, the device has the beneficial effects that harmful gas is subjected to photosynthesis reaction by spraying a photocatalyst so as to perform catalytic oxidation reaction, spraying on buildings is facilitated, the device is not limited to roads, and the device is relatively convenient and high in applicability.
本发明涉及大气污染治理技术领域，且公开了一种基于半监督学习的大气污染物治理方法，包括以下步骤：S1，收集物联网的环保数据；S2，在工厂相关污染物排放点进行冷凝回收大气污染有机物步骤；S3，采用气体吸附法处理有害气体污染物，S4，在高浓度小风量的地区使用直接燃烧废气法；S5，对路面汽车尾气治理，选取主要交通路段，在其两侧人行道及绿化带通过人工作业方式喷洒光触媒材料，在道路沿线消除汽车尾气中的NOx；S6，完善城市绿化，发展植物净化。本发明具备相较于传统的降尘净化，通过喷洒光触媒对有害气体进行光和反应进而催化氧化反应，且方便在建筑物上喷洒，不限于道路，比较便捷，适用性强的有益效果。
Air pollutant treatment method based on semi-supervised learning
一种基于半监督学习的大气污染物治理方法
2022-04-29
Patent
Electronic Resource
Chinese
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