Ozone generation contribution rate analysis method and device

A technology of ozone generation and analysis method, which is applied to measurement devices, biological neural network models, other database retrievals, etc., and can solve problems such as inability to apply individual cases, inapplicability, and the inability of linear regression models to consider element interaction.

Inactive Publication Date: 2021-11-09
3CLEAR SCI & TECH CO LTD
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Problems solved by technology

[0006] However, the tree model method is based on model training and requires large data sets for training. It is applied to the contribution analysis of different elements in the data set and cannot be applied to individual cases. Th

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  • Ozone generation contribution rate analysis method and device
  • Ozone generation contribution rate analysis method and device
  • Ozone generation contribution rate analysis method and device

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Embodiment Construction

[0027] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present invention are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

[0028] figure 1 A flow chart of an analysis method for the contribution rate of ozone generation provided by an embodiment of the present invention. figure 2 A technical roadmap of an analysis method for the contribution rate of ozone generation provided for another example of the present invention.

[0029] Such as figure 1 and figure 2 As shown, in step S110, obs...

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Abstract

The invention discloses an ozone generation contribution rate analysis method and device. The method comprises the following steps: acquiring observation data comprising different elements; analyzing the observation data of each element in the observation data, and respectively judging whether the observation data are in the global threshold range of the corresponding element; when the data are within the global threshold range, judging that the data are normal data; and inputting the element observation data judged as normal data into the trained TabNet for calculation to obtain the ozone generation contribution rate of the corresponding element. The device comprises an observation data acquisition unit, a data quality control unit and a calculation unit. According to the method and the device, the definition of ozone generation contribution rate is provided; VOCs observation data, meteorological observation data and conventional pollutant observation data are directly applied to ozone generation contribution analysis; an application strategy of applying the deep table learning neural network to ozone generation contribution rate calculation is proposed; a nonlinear method capable of analyzing ozone generation contribution rate of observation data at a single time is provided.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, and more specifically, the invention relates to an analysis method and device for the contribution rate of ozone generation. Background technique [0002] Ozone is a trace gas in the atmosphere, more than 90% of the ozone is distributed in the stratosphere, and less than 10% of the ozone is in the troposphere. Tropospheric ozone comes from the photochemical reaction of nitrogen oxides and volatile organic compounds (VOCs, Volatile Organic Compounds) except a small amount from stratospheric transport. Ozone has strong oxidizing properties, and short-term high-concentration ozone exposure in ambient air will cause serious harm to the cardiovascular system and respiratory system of the human body. In addition, high concentrations of ambient air ozone can also damage the growth and reproduction of plants, reduce the yield of crops and biodiversity, etc. [0003] Although ozone in t...

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Application Information

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IPC IPC(8): G06K9/62G06F16/903G06N3/04G01W1/06
CPCG06F16/903G01W1/06G06N3/045G06F18/214
Inventor 樊旭肖林鸿陈焕盛秦东明王文丁吴剑斌
Owner 3CLEAR SCI & TECH CO LTD
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