
Algorithm of Vehicle’s Data Cleaning and Monitoring
Author(s) -
Hao Li,
Di Ma,
Zhijiang Yan,
Jie Fu,
Mengjie Zeng,
Wuzhida Bao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1828/1/012052
Subject(s) - computer science , range (aeronautics) , process (computing) , data mining , engineering , aerospace engineering , operating system
The aim of this paper is to screen out abnormal data which is caused by human factors and natural factors. We proposed an algorithm of vehicle’s data cleaning and monitoring. First, the valid data is filtered out by an improved DBSCAN method, through data analysis, and then get the threshold range. After that, it screens out the abnormal data in the valid data through the threshold range. Finally, the abnormal data is classified and counted according to the factors which was stipulated by the enterprise. The results show that the proposed algorithm can simpler and faster to process the abnormal data than the other similar algorithm.