ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.118
Petroleum, Oil, and Lubricants Information Acquisition and Processing in Hall for Workshop of Meta-Synthetic Engineering
Abstract— Being the first and important step for organizing POL (Petroleum, Oil, and Lubricants, POL)
service, POL information acquisition and processing is an indispensable part of POL support service. It offers
POL service information, which is critical to understand the intention of POL support service, and make
timely and accurate judgment on the organization of POL support service. Without timely and accurate POL
information acquisition and processing, it leads to the organization of POL support service in chaos and
disorder. However, in reality, combat system has the complex characteristics of the sudden and variability in
time domain, the crisscross in spatial domain, the congestion and overlap in frequency domain, and the
uneven density in energy domain, posing a challenge to POL information acquisition and processing. To
address those issues, this paper proposes a dynamic self-learning POL information acquisition approach
based on Hall for Workshop of Meta-Synthetic Engineering. With system theory as the core of our approach,
the proposed approach decomposes the complexity of information acquisition and processing, and
incorporates human computer interaction to present a framework featuring the combination of qualitativeness
and quantitativeness. This work presents a new perspective on POL information acquisition and processing,
and suggests fresh directions of research on an extensively studied topic.
Index Terms— information acquisition, meta-synthetic engineering, POL service, system theory.
Logistical Engineering University, CHINA
No.285 hospital, CHINA
Cite: Bixin Li, Jin Huang, Yan Lei, "Petroleum, Oil, and Lubricants Information Acquisition and Processing in Hall for Workshop of Meta-Synthetic Engineering," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 675-681, Beijing, 25-27 June, 2017.