Near-surface ozone prediction model based on multi-source data fusion

Abstract

The invention discloses a near-surface ozone prediction model based on multi-source data fusion, and relates to the technical field of environmental protection, in particular to a near-surface ozone prediction model based on multi-source data fusion, which comprises a storage box. According to the near-surface ozone prediction model based on multi-source data fusion, through cooperative use of a first motor, a rotating ring, a rotating groove, a bottom plate, a mounting plate, a third motor and a second threaded rod, the rotating groove formed in the surface of the bottom plate is used for sleeving the rotating ring, and the first motor drives the mounting plate to rotate on the surface of the bottom plate; a rotating ring is rotated in an inner cavity of a rotating groove, so that the display direction of the model prediction screen can be automatically adjusted, meanwhile, a third motor drives a second threaded rod to rotate, a first sliding block moves, the model prediction screen is supported through an upper supporting rod, and meanwhile, the inclination angle of the model prediction screen can be conveniently adjusted; and the use convenience of the near-surface ozone prediction model based on multi-source data fusion is improved.

Description

technical field [0001] The invention relates to the technical field of environmental protection, in particular to a near-ground ozone prediction model based on multi-source data fusion. Background technique [0002] Ozone is an allotrope of oxygen, the chemical formula is O3, and the formula weight is 47.998. It is a light blue gas with a fishy smell. Ozone has strong oxidizing properties and is a stronger oxidizing agent than oxygen. It can undergo oxidation reactions at lower temperatures. For example, it can oxidize silver to silver peroxide, oxidize lead sulfide to lead sulfate, and react with potassium iodide to generate iodine. Turpentine, gas, etc. can spontaneously ignite in ozone. Ozone is a powerful bleach in the presence of water. It is also easy to form ozonide with unsaturated organic compounds at low temperature. Used as a strong oxidizing agent, bleaching agent, fur deodorizing agent, air purifying agent, disinfectant and bactericide, disinfection and deodo...

AI Technical Summary

Problems solved by technology

The purpose of this technology research and development is to synthesize various data information, absorb the characteristics of different data sources and then extract unified, better and richer information than a single data, and then input the design in the smart display The data of the ozone prediction model is placed on the smart display screen to display the data of the comparison of the ozone layer model. These data can play a role in research and teaching of the trend of ozone. However, when the existing near-surface ozone prediction model is used, the equipment It is vulnerable to damage, has no limited protection measures, is very inconvenient to carry, and can only be displayed to researchers in one direction, so we propose a near-ground ozone prediction model based on multi-source data fusion

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