z-logo
open-access-imgOpen Access
Big Data Analysis on the State of Automotive Cabin Air Filters in China
Author(s) -
Yan He,
Tianqiang Du,
Shuhong Wei,
Wei Yin,
Cuihua Tian,
Chuanjie Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/571/1/012083
Subject(s) - automotive industry , air filter , filter (signal processing) , china , automotive engineering , covid-19 , environmental science , product (mathematics) , distribution (mathematics) , engineering , mechanical engineering , aerospace engineering , electrical engineering , geography , mathematics , medicine , mathematical analysis , geometry , disease , archaeology , pathology , infectious disease (medical specialty) , inlet
Under the influence of the COVID-19, consumers pay more and more attention to the safety and health of the air in the car. As the core component of the air purification in the car, the performance of the cabin air filter is a hot topic for vehicle enterprises and parts enterprises. This paper introduces the inspection and data analysis of cabin air filter products in China by China Automotive Technology And Research Center, which includes the product geographical distribution, brand compliance rate, the compliance rate of different testing items. Based on the analysis of fractional efficiency of 0.3 μm, 2.5 μm and 10 μm particle sizes and particle sizes distribution in the atmosphere, this paper puts forward the view that it is necessary to pay more attention to the fractional efficiency of particulates which below 1 μm. In addition, the existing problems of cabin air filter are studied by data and its development direction is prospected.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here