Data Mining Technology Integrates Analysis in Petrochemical Testing Data
With the continuous improvement of information technology in the petroleum industry, the basic data of petroleum is growing exponentially. An urgent issue that needs to be addressed is how to optimize management and efficiently analyze it, which has become a challenge in the petrochemical industry. This article aimed to integrate testing data from different sources, optimize the testing process, improve testing efficiency and quality, reduce production costs, and achieve sustainable development of enterprises. This article applied data mining techniques to extract the patterns and characteristics behind massive detection data, providing scientific basis for monitoring and managing production processes. The results of this article indicated that integrating and analyzing detection data can optimize production processes, improve production efficiency, improve product quality, reduce costs, and thus enhance the competitiveness of enterprises.
Authors
- Li Ping Wang (ORCID: https://orcid.org/0000-0001-6893-3809)
Institutions
- Ningbo University of Finance & Economics (CN)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.04.482
- Primary Topic
- Advanced Data Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00