Data quality analysis and improved strategy research on operations management system for electric vehicles

It is very important for Operations Management System (OMS) and big data analysis application to improve the data quality of Electric Vehicle (EV) charging service. This paper focuses on the charging transaction record data from the Beijing EV charging OMS, and analyzes error types and distributed locations of the abnormal data. Based on the mathematical logic among various kinds of operation data, the data selection rules and processing method are proposed, and the system improved scheme is given. Through the design and application of data selection and processing module, the abnormal data can be timely detected and corrected. It is also beneficial for the system operation and maintenance to improve the acquisition data quality. The comparative analysis results verify the feasibility and effectivity of the proposed scheme. This research is a necessary guarantee for the big data technology application.