Energy-saving interactive negative oxygen ion detection method and system based on deep learning

Abstract

The invention discloses an energy-saving interactive negative oxygen ion detection method and system based on deep learning. The system comprises a negative oxygen ion detection device and a server data platform, the negative oxygen ion detection device collects air according to a set frequency, detects negative oxygen ion data in the air, locally stores the negative oxygen ion data, and transmits the obtained negative oxygen ion data to the server data platform in a wireless mode; the server data platform stores and processes the received negative oxygen ion data, displays the processed data, predicts the negative oxygen ion data at the next moment by using a time sequence deep learning model, and determines the adjustment information of the acquisition frequency by comparing the predicted data with the acquired data at the corresponding moment; and the server data platform performs remote interaction with the negative oxygen ion detection equipment according to the information input by the user or the adjustment information of the acquisition frequency. The negative oxygen ion collection frequency can be adjusted in real time, automatic frequency conversion is achieved, and manual debugging is avoided.

Description

technical field [0001] The invention relates to the technical field of energy saving and environmental protection, and more specifically, to an energy-saving interactive negative oxygen ion detection method and system based on deep learning. Background technique [0002] Air negative (oxygen) ion (Negative air (oxygen) ion, NAI) is a general term for negatively charged single gas molecules and hydrogen ion clusters. NAI is mainly an atomic group formed by the combination of oxygen-containing negative ions in the air and several water molecules. According to the theory adopted by the Atmospheric Joint Commission of the International Union of Geophysics and Geodesy, NAI refers to or OH - (H 2 O) n , CO 4 (H 2 O) 2 , is a general term for negatively charged individual gas molecules and their light ion clusters. Since oxygen molecules are more 2 , N 2 Isomolecules are more electrophilic, so oxygen molecules will preferentially obtain electrons to form negative ions, so...

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Problems solved by technology

[0006] After analysis, although the negative oxygen ion detection method and negative oxygen ion detection equipment have been applied in industrial production, these detection equipment only have data acquisition and data transmission functions, and do not have remote interaction or remote control functions. The method is time-consuming, the detection data cannot be uploaded in real time, and the detection equipment cannot be remotely controlled, etc.

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