期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：252
期号：3
页码：1-8
DOI：10.1088/1755-1315/252/3/032049
出版社：IOP Publishing
摘要：Compared with traditional operation and maintenance, intelligent operation and maintenance can better meet the needs of the big data era. At present, the intelligent analysis technology of operation and maintenance data is not perfect enough, and still has a large research space. Intelligent operation and maintenance technology can help operation and maintenance personnel to find out the cause of abnormal operation of system and prevent system failure. The discipline of a large number of operation and maintenance data can help the operation and maintenance personnel to discover the potential problems of the system, and transform passive maintenance into active prevention. But most systems only consider the trend of a certain operation and maintenance data over time, instead of the discipline of the data collected at the same time. According to the characteristics of operation and maintenance data, this paper selects unary linear regression model to simulate the discipline of operation and maintenance data obtained at the same time, and mines the regularity of data from another perspective. The results of experiments verify reasonableness and effectiveness of this method.
